Return list of all approved projects.

Supported filters: - active - id - name

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{
    "count": 68,
    "next": null,
    "previous": null,
    "results": [
        {
            "active": true,
            "approved": true,
            "authorized_members": 1877,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/128/default_logo.png",
            "contact_email": "support@openhumans.org",
            "id": 128,
            "id_label": "direct-sharing-128",
            "info_url": "https://upload-23andme-to.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Use this tool to upload your 23andMe raw data to Open Humans to share it with projects and studies.\r\n\r\nOpen Humans and this tool are not affiliated with 23andMe.",
            "name": "23andMe Upload",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/13/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Raw 23andMe genotyping data",
            "short_description": "23andMe is a direct-to-consumer genetic testing company that tests about one million genetic locations.",
            "slug": "23andme-upload",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 94,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/134/american-gut-badge.png",
            "contact_email": "americangut@gmail.com",
            "id": 134,
            "id_label": "direct-sharing-134",
            "info_url": "http://americangut.org",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Rob Knight; Daniel McDonald",
            "long_description": "The American Gut Project provides infrastructure for anyone in the world to process human microbiome samples. Generally, the sample we receive are poop (because that's what's sexy apparently). For every sample we receive, we perform DNA sequencing to identify the types of microbes that are present, and we generate an educational report about these findings and how you relate to others. This report is *not* medically actionable and is for education and research only. As researchers, we're extremely interested in these samples so we can construct a \"map\" of human microbial configurations to foster ongoing microbiome efforts around the world, and to help this global effort, all data we generate from this project are deposited de-identified into the public domain.",
            "name": "American Gut Project",
            "organization": "University of California San Diego",
            "registered_datatypes": [
                "/api/public/datatype/12/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "A table describing the organism / sample counts and taxonomy.",
            "short_description": "Crowd funded citizen science microbiome sampling for the masses.",
            "slug": "american-gut-project",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 862,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/129/ancestry-dna-badge.png",
            "contact_email": "support@openhumans.org",
            "id": 129,
            "id_label": "direct-sharing-129",
            "info_url": "https://www.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Upload your AncestryDNA raw data to share it with projects and studies.",
            "name": "AncestryDNA Upload",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/13/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Raw AncestryDNA genotyping data",
            "short_description": "Ancestry.com's AncestryDNA is a direct-to-consumer genetic testing product that tests about 700,000 genetic locations.",
            "slug": "ancestrydna-upload",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 781,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/Element_11000x.png",
            "contact_email": "ohuploader@androidaps.org",
            "id": 396,
            "id_label": "direct-sharing-396",
            "info_url": "https://androidaps.readthedocs.io/en/latest/EN/Configuration/OpenHumans.html",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Milos Kozak, Adrian Tappe, Tebbe Ubben",
            "long_description": "This allows you to upload all your diabetes data conveniently and directly from within AndroidAPS. After having setup the uploader, you may want to share your data with other projects on Open Humans. Setup can be done inside the app.",
            "name": "AndroidAPS Uploader",
            "organization": "AndroidAPS Developers",
            "registered_datatypes": [
                "/api/public/datatype/2/",
                "/api/public/datatype/17/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Glucose Values, Boluses, Carbs, TBRs, Settings, Device Information, App Version...",
            "short_description": "Upload your diabetes data from within AndroidAPS",
            "slug": "androidaps-uploader",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 313,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/2/circles_badge.png",
            "contact_email": "awark@genetics.med.harvard.edu",
            "id": 2,
            "id_label": "direct-sharing-2",
            "info_url": "http://genetics.med.harvard.edu/tabin/circles/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Cliff Tabin and Abigail Wark",
            "long_description": "The areola is a circle of specialized, pigmented skin surrounding the human nipple. These marking are ubiquitous in people, yet the origin and function of the areola remain mysterious. Experimentally, areolas are an ideal research target because circular markings have a simple genetic architecture. This makes the areola an intriguing and practical case study into the genetic architecture of distinctive human traits.\r\n\r\nThe goals of the Circles study are to 1) characterize diversity in the structure and appearance of the areola and 2) discover the genes responsible for the areola’s characteristics. We invite any adult women and men who have undergone personal genetic sequencing to join our study. To get started, click below to request your areola study kit by mail. Once it arrives, you will be guided to our online survey. Participation takes place in your home and should take less that an hour.",
            "name": "Circles",
            "organization": "Harvard Medical School",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/129/",
                "/api/public/project/133/",
                "/api/public/project/131/",
                "/api/public/project/139/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-129",
                "direct-sharing-133",
                "direct-sharing-131",
                "direct-sharing-139"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "Circles is a research study that aims to discover the genetic basis for a mysterious and remarkable human trait: the areola.",
            "slug": "circles",
            "type": "on-site"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 141,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/463/coop-logo.png",
            "contact_email": "bastian.greshake-tzovaras@cri-paris.org",
            "id": 463,
            "id_label": "direct-sharing-463",
            "info_url": "https://www.opencovid.care/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Ariel Lindner, Bastian Greshake Tzovaras",
            "long_description": "The OpenCovid survey is a 5 minute questionnaire created for people who want to help fight the COVID-19 virus from the comfort of their home. It consists of a short questionnaire, followed by a daily check-in on how you feel. A wide variety of questions are asked, some of which can be answered daily, others that appear on a rolling basis, so as to always keep it fresh!\r\n\r\nOur goal? Better understand the virus’ transmission patterns and its effect on physical and mental health. We want to understand how the virus spreads, who it affects most, and how it impacts your daily life. We hope this may guide public health decisions and medication repurposing in the future. \r\n\r\n### Be part of the team.\r\n\r\nWhen it comes to science, we believe in harnessing the ingenuity of all citizens. We want you to contribute your own survey items according to your research questions and interests.",
            "name": "Covid Open Survey",
            "organization": "Center for Research & Interdisciplinarity, Paris",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Individual survey responses & anonymized aggregate data",
            "short_description": "The OpenCovid survey is a 5 minute questionnaire created for people who want to help fight the COVID-19 virus from the comfort of their home",
            "slug": "covid-open-survey",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 194,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/7/compare.png",
            "contact_email": "turner@blackbear.biz",
            "id": 7,
            "id_label": "direct-sharing-7",
            "info_url": "http://genome.blackbear.biz/info.html",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "James Turner",
            "long_description": "All genome sequencing technologies have some degree of error in their results. This tool is designed to take the data you have uploaded from a variety of sources (SNP, WGS, etc) and look for disagreements in results. The generated report will display a detailed report of which calls have disagreed with each other between the genomes you provide.\r\n\r\nNotes: At the moment, this tool only works on data encoded using the VCF format.  It is a work in progress, so be sure to look at the raw data lines if you think a disagreement might be in error.",
            "name": "Cross-Genome Error Check",
            "organization": "self",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/129/",
                "/api/public/project/139/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-129",
                "direct-sharing-139"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "This tool will compare your available genome data and look for disagreement between calls",
            "slug": "cross-genome-error-check",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 77,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/251/dashgenomics_IconRight.png",
            "contact_email": "team@dashgenomics.com",
            "id": 251,
            "id_label": "direct-sharing-251",
            "info_url": "https://www.dashgenomics.com/",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Dash Genomics",
            "long_description": "Dash Genomics has partnered with UCSF and UCSD scientists to offer a new model to understand individual risk of Alzheimer’s disease beyond only the APOE gene, as a function of age and genetic information. We have now made this state-of-the-art algorithm available to anyone with 23andMe or Ancestry.com DNA data. \r\n\r\nWe offer the following analysis within the report:\r\n1.Cumulative Risk: risk of onset of Alzheimer's by a certain age\r\n2.Instantaneous Risk: risk of onset of Alzheimer's within a certain year of age\r\n3.Risk over the next 5 years (for those over 55)\r\n4.AZ50 age: age your cumulative risk rises above 50%\r\n5.Polygenic Hazard Score percentile: Compare your estimated risk profile to the general population\r\n6.APOE status: Status based on the genotype combination of the two APOE copies\r\n\r\nSee https://www.dashgenomics.com/ for more information and sample report. The service is being offered to Open Humans members for $99 (normally $149) when you use the provided link.",
            "name": "Dash Genomics",
            "organization": "Dash Genomics",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/129/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-129"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "New model to understand individual risk of Alzheimer’s disease beyond only the APOE gene, as a function of age and genetic information.",
            "slug": "dash-genomics",
            "type": "on-site"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 249,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/133/default_logo.png",
            "contact_email": "support@openhumans.org",
            "id": 133,
            "id_label": "direct-sharing-133",
            "info_url": "https://dataselfie.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "You have data that doesn't fit into any of our existing projects? Use Data Selfies to share it nevertheless!",
            "name": "Data Selfies",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/8/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "All the data",
            "short_description": "Upload Data Selfies",
            "slug": "data-selfies",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 245,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/ryoji-iwata-479447-unsplash.jpg",
            "contact_email": "effy.vayena@hest.ethz.ch",
            "id": 135,
            "id_label": "direct-sharing-135",
            "info_url": "",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Prof. Dr. Effy Vayena",
            "long_description": "The goal of this project is to investigate which mechanisms of ethical oversight you think should apply to research projects such as those conducted on Open Humans.\r\n\r\nYou will be asked to answer questions about your past data sharing experience, your beliefs regarding data sharing, and your opinion on some ethical principles.\r\n\r\nBecause this project will not ask for access to your personal Open Humans data, you will also be asked some basic demographic questions about yourself. \r\n\r\nYour answers will help improve the Open Humans platform and contribute to a shared understanding of research project oversight.\r\n\r\nCompletion of the survey lasts approximately 18 minutes.\r\n\r\nA copy of the consent form is available here: https://www.openhumans.org/data-management/datafile-download/64745/",
            "name": "Data sharing and ethical oversight",
            "organization": "ETH Zurich",
            "registered_datatypes": [
                "/api/public/datatype/7/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Members can opt in to receive their own answers and/or all answers as an aggregate from the project once the study is over.",
            "short_description": "Through a quick survey we aim at understanding what the Open Humans community thinks about ethical oversight.",
            "slug": "data-sharing-and-ethical-oversight",
            "type": "on-site"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 251,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/120/logo.png",
            "contact_email": "bgreshake@googlemail.com",
            "id": 120,
            "id_label": "direct-sharing-120",
            "info_url": "https://familytreedna-upload.herokuapp.com",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Bastian Greshake Tzovaras",
            "long_description": "A simple project that allows you to connect your FamilyTreeDNA data with Open Humans.",
            "name": "FamilyTreeDNA integration",
            "organization": "",
            "registered_datatypes": [
                "/api/public/datatype/13/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "FamilyTreeDNA raw genotyping data",
            "short_description": "Upload your FamilyTreeDNA data to Open Humans",
            "slug": "familytreedna-integration",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 74,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/354/file-uploader-badge.png",
            "contact_email": "support@openhumans.org",
            "id": 354,
            "id_label": "direct-sharing-354",
            "info_url": "https://upload.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Use our tool to upload data files to your account: https://upload.openhumans.org/\r\n\r\nDon't see the \"data type\" you want? Add a new data types on this page, and make sure to mark it as \"uploadable\": https://www.openhumans.org/data-management/datatypes/",
            "name": "File Uploader",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Data files uploaded by a member",
            "short_description": "Upload data files to Open Humans",
            "slug": "file-uploader",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 587,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/102/fitbit-badge.png",
            "contact_email": "support@openhumans.org",
            "id": 102,
            "id_label": "direct-sharing-102",
            "info_url": "https://oh-fitbit-integration.herokuapp.com",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Connect your Fitbit account to add data from your Fitbit activity trackers and other Fitbit devices.",
            "name": "Fitbit Connection",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Data from Fitbit devices, including steps, heart rate, and heart rate, if available.",
            "short_description": "Connect your Fitbit account to add data from your Fitbit activity trackers and other Fitbit devices.",
            "slug": "fitbit-connection",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 140,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/191/fitbit-intraday-icon.png",
            "contact_email": "support@openhumans.org",
            "id": 191,
            "id_label": "direct-sharing-191",
            "info_url": "https://fitbit-intraday.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "This application saves intraday data from your Fitbit in your Open Humans account.",
            "name": "Fitbit Intraday",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Intraday Fitbit Records (Heart Rate & Activities)",
            "short_description": "Import Intraday Data from your Fitbit",
            "slug": "fitbit-intraday",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 63,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/112/gi-badge.jpg",
            "contact_email": "gutinstinct@ucsd.edu",
            "id": 112,
            "id_label": "direct-sharing-112",
            "info_url": "http://gutinstinct.ucsd.edu/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Vineet Pandey",
            "long_description": "Galileo is a website (designed by UC San Diego Design Lab) where people design and run their own experiments with their community. Anyone curious about their lifestyle and health can use this website; No prior knowledge is needed as the website guides people through the different steps of creating an experiment. After creating their experiment, people can it reviewed from two members who’ll help them improve their experiment. Finally, people can invite others to participate in their experiment and begin it for a week when sufficient people join their experiment. By comparing their experiences an experiment, people provide researchers cues to build associations between lifestyle and health.",
            "name": "Galileo",
            "organization": "UCSD Design Lab",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "Learn about current science of the gut microbiome with expert-curated learning materials.",
            "slug": "galileo",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 372,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/40/seeq_logo_round.png",
            "contact_email": "support@gencove.com",
            "id": 40,
            "id_label": "direct-sharing-40",
            "info_url": "https://www.gencove.com",
            "is_academic_or_nonprofit": false,
            "is_study": true,
            "leader": "Joseph K. Pickrell",
            "long_description": "Gencove aims to give everyone easy access to their genome. Download the app, order our inexpensive saliva kit, and drop it off in any USPS mailbox - that's all it takes. Your ancestry and microbiome information are delivered to your smartphone, ready to share with friends and family. By joining Gencove, you are also taking part in an amazing research project to understand what makes you unique.",
            "name": "Gencove",
            "organization": "Gencove, Inc.",
            "registered_datatypes": [
                "/api/public/datatype/11/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Sequencing bam files",
            "short_description": "Your genome app - get your ancestry, microbiome, and more! Contribute your data to OpenHumans.",
            "slug": "gencove",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 621,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/180/g3164.png",
            "contact_email": "denise.cook@ronininstitute.org",
            "id": 180,
            "id_label": "direct-sharing-180",
            "info_url": "https://www.personalitygenie.com",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Dr. Denise Cook",
            "long_description": "Current academic research looking for personality genes measure personality traits using questionnaires for the “Big 5”: Extraversion, Openness, Conscientiousness, Agreebleness, Neuroticism, traits that have been found to vary continuously in the human population. While these studies have successfully identified genetic variants associated with each of these traits, each polymorphism has only a small effect on the phenotype and explains only a tiny fraction of the genetic variance in each trait. Consequently, none of the SNPs or combinations of SNPs identified so far can predict someone's personality traits. Instead of using the Big 5, this study will use three questionnaires to determine a person's Personality Type: categorizing people in one of 16 different groups that share similar behavioural tendencies, and we hypothesize, similar patterns of genetic variants as well. The goal is to use this framework to isolate genetic variants that are strongly correlated with personality type.",
            "name": "Genetics of Personality Type",
            "organization": "Ronin Institute",
            "registered_datatypes": [
                "/api/public/datatype/7/"
            ],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/129/",
                "/api/public/project/133/",
                "/api/public/project/120/",
                "/api/public/project/131/",
                "/api/public/project/92/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-129",
                "direct-sharing-133",
                "direct-sharing-120",
                "direct-sharing-131",
                "direct-sharing-92"
            ],
            "request_username_access": false,
            "returned_data_description": "This project will return a person's personality type (i.e., INTJ, ESFJ) as determined using three personality questionnaires.",
            "short_description": "The purpose of this study is to find genetic variants that can predict a person's personality type.",
            "slug": "genetics-of-personality-type",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 1158,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/5/genevieve_badge.png",
            "contact_email": "gennotes@gmail.com",
            "id": 5,
            "id_label": "direct-sharing-5",
            "info_url": "https://genevieve.herokuapp.com/",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Mad Ball",
            "long_description": "Genevieve is a tool that invites you to explore your genome. By matching your genome against ClinVar's public variant data, you have a window into what researchers see. To help improve our shared understanding, Genevieve invites users to contribute to shared, public, wiki-style notes that elaborate on genetic variant information.",
            "name": "Genevieve Genome Report",
            "organization": "",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/131/",
                "/api/public/project/139/",
                "/api/public/project/92/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-131",
                "direct-sharing-139",
                "direct-sharing-92"
            ],
            "request_username_access": true,
            "returned_data_description": "",
            "short_description": "Genevieve matches your genome against public variant data, and invites you to contribute to shared notes.",
            "slug": "genevieve-genome-report",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 452,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/131/default_logo.png",
            "contact_email": "support@openhumans.org",
            "id": 131,
            "id_label": "direct-sharing-131",
            "info_url": "https://vcf.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Upload a VCF of your whole genome or exome sequencing and share it with projects and studies.",
            "name": "Genome/Exome Upload",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/11/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "VCF files",
            "short_description": "Do you have genome or exome data? You can upload genome, exome, and genotyping data in VCF format.",
            "slug": "genomeexome-upload",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 506,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/13/genomix_badge.png",
            "contact_email": "wellesleyhcilab@gmail.com",
            "id": 13,
            "id_label": "direct-sharing-13",
            "info_url": "http://cs.wellesley.edu/~hcilab/pghci_pgp/about_pghci.html",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Orit Shaer & Oded Nov",
            "long_description": "Do you have public 23andMe data? We plan to launch a new study in Fall 2017 that uses GenomiX, an interactive genome visualization, available for Open Humans members. Videos and screenshots are available on our project website – it includes a bubble-chart visualization of the member’s data, a glossary of medical terms associated with genomes, and a curation tool that allows for extended engagement with genomic data. We plan to record anonymized logs when you use the tool and then ask you questions through a survey to advance our studies of genome data engagement. Join now to register your interest! We'll create a report based on your public data and invite you to join our study and view the report when we launch.",
            "name": "GenomiX Genome Exploration",
            "organization": "Wellesley College & NYU",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "",
            "short_description": "Is your 23andMe data public? Register interest in a study of how folks interact with their genome data using GenomiX, our visualization tool",
            "slug": "genomix-genome-exploration",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 57,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/159/github-open-humans.png",
            "contact_email": "support@openhumans.org",
            "id": 159,
            "id_label": "direct-sharing-159",
            "info_url": "https://github.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Ever wanted to analyze your commits? Investigate patterns in the wordings you use and the times at which you push code? Open Humans now offers a GitHub integration to extract all the commits you've made in all repos you are a member of, and loads this data into your account.",
            "name": "GitHub Data Import",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "",
            "short_description": "Retrieve and store your GitHub commit data",
            "slug": "github-data-import",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 154,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/193/google-fit-icon.77e503c16520.png",
            "contact_email": "support@openhumans.org",
            "id": 193,
            "id_label": "direct-sharing-193",
            "info_url": "https://google-fit.openhumans.org/",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Sync activity data from Google Fit into monthly json files.\r\nData types synced: steps, distance, active minutes and calories on a per minute granularity.",
            "name": "Google Fit",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "Steps, distance, calories, activity minutes from Google Fit",
            "short_description": "Google Fit integration.",
            "slug": "google-fit",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 294,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/182/default_logo.png",
            "contact_email": "support@openhumans.org",
            "id": 182,
            "id_label": "direct-sharing-182",
            "info_url": "https://google-location.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Upload your Google Location History archive to Open Humans and use it in Personal Data Notebooks or share it with researchers.",
            "name": "Google Location History Upload",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/4/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Google Location History archives",
            "short_description": "Upload your Google Location History archive",
            "slug": "google-location-history-upload",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 105,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/151/Goo_C00.jpg",
            "contact_email": "athina.tz@gmail.com",
            "id": 151,
            "id_label": "direct-sharing-151",
            "info_url": "https://goo-searches-analyzer.herokuapp.com/",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Athina Tzovara",
            "long_description": "Here you can upload your Google search history data. Once uploaded, you can use the Personal Data Notebooks to analyze your searches. For example, you can compute your top searches per month, or obtain graphs of the top co-occurring terms within your searches.\r\n\r\nThe data that you request from Google will contain your search terms, along with the date and time when you did these searches, and the websites that you visited after each search. \r\n\r\nBy default, your data are kept private, so that only you have access to your data and we will not use or access your data without your explicit consent. If you want, you may also choose to share your data with other projects or to make them public.",
            "name": "Google search history analyzer",
            "organization": "",
            "registered_datatypes": [
                "/api/public/datatype/15/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Google take-out archive of search data",
            "short_description": "Google search history analyzer",
            "slug": "google-search-history-analyzer",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 39,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/favicon.png",
            "contact_email": "goviralstudy@gmail.com",
            "id": 42,
            "id_label": "direct-sharing-42",
            "info_url": "http://www.goviralstudy.com",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Rumi Chunara",
            "long_description": "Help us research viruses in you and your community! Use our website or iOS app to request a testing kit and complete weekly surveys, and get updates about our research results. To connect Open Humans, go to your \"Profile\" page in GoViral and click \"Link your Open Humans account.",
            "name": "GoViral",
            "organization": "NYU",
            "registered_datatypes": [
                "/api/public/datatype/9/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "survey data and possibly kit results",
            "short_description": "GoViral aims to map the spread of viruses in your community with kits and surveys.",
            "slug": "goviral",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 145,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/24/go-viral-2014-2016-logo.png",
            "contact_email": "goviralstudy@gmail.com",
            "id": 24,
            "id_label": "direct-sharing-24",
            "info_url": "https://www.goviralstudy.com/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Dr. Rumi Chunara",
            "long_description": "This project represents previous years of the\r\n        GoViral study. Participants in this viral surveillance study received\r\n        kits, and sent samples if they got sick. Data import from this study is\r\n        no longer available, but data remains in member accounts if it was\r\n        previously imported.",
            "name": "GoViral (2014-2016)",
            "organization": "NYU Polytechnic School of Engineering",
            "registered_datatypes": [
                "/api/public/datatype/9/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Sickness reports contain survey data from        GoViral. Viral profiling data contains raw viral test results.",
            "short_description": "Participants in this viral surveillance study        received kits, and sent samples if they got sick.",
            "slug": "goviral-2014-2016",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 93,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/50/gutinstinct_logo2x_circle.png",
            "contact_email": "gutinstinct@ucsd.edu",
            "id": 50,
            "id_label": "direct-sharing-50",
            "info_url": "http://gutinstinct.ucsd.edu/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Vineet Pandey",
            "long_description": "Gut Instinct is a website (designed by American Gut Project and UC San Diego Design Lab) where people learn about the gut microbiome and catalyze the creation of a list of factors that may be associated with gut microbiome differences. People anonymously post questions about lifestyle and health for peers to answer. By comparing their experiences via questions and discussions, people provide researchers cues to build associations between lifestyle and the microbiome. Anyone curious about their lifestyle and health can use this website.",
            "name": "Gut Instinct",
            "organization": "UCSD Design Lab",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "Learn about current science of the gut microbiome with expert-curated learning materials.",
            "slug": "gut-instinct",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 797,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/Harvard-PGP-badge.png",
            "contact_email": "support@pgp-hms.org",
            "id": 139,
            "id_label": "direct-sharing-139",
            "info_url": "https://pgp.med.harvard.edu/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "George Church",
            "long_description": "The Harvard PGP seeks to share genomes and associated health data, despite potential for re-identification, to advance research in human health and biology.",
            "name": "Harvard Personal Genome Project",
            "organization": "Harvard Medical School",
            "registered_datatypes": [
                "/api/public/datatype/11/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Full genome sequencing data and survey data, if your participant account has these data.",
            "short_description": "Harvard PGP seeks to publicly share genomes and associated health data to advance research.",
            "slug": "harvard-personal-genome-project",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 448,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/92/openimpute.badge.png",
            "contact_email": "arvkevi@gmail.com",
            "id": 92,
            "id_label": "direct-sharing-92",
            "info_url": "http://openimpute.com",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Kevin Arvai",
            "long_description": "The goal of Imputer is to provide users with a more comprehensive picture of their genome. Direct to consumer genetics companies, like 23andMe, only genotype a small fraction of the genome. Researchers are finding new genetic locations associated with traits and diseases at a rapid pace. Users might be interested in knowing their genotype status for these new associations, but the locations may be in regions that direct to consumer tests are not genotyping. Imputer leverages the vast amount of genotype data made available by 1000 genomes project to provide Open Humans users with genotype estimates at additional locations in their genome. Explore results in an Open Humans notebook:  https://exploratory.openhumans.org/notebook/21/  and visualize results in an Open Humans notebook:  https://exploratory.openhumans.org/notebook/26/",
            "name": "Imputer",
            "organization": "github.com/arvkevi",
            "registered_datatypes": [
                "/api/public/datatype/11/"
            ],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/129/",
                "/api/public/project/120/",
                "/api/public/project/40/",
                "/api/public/project/131/",
                "/api/public/project/139/",
                "/api/public/project/55/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-129",
                "direct-sharing-120",
                "direct-sharing-40",
                "direct-sharing-131",
                "direct-sharing-139",
                "direct-sharing-55"
            ],
            "request_username_access": true,
            "returned_data_description": "Imputer will return a file with imputed genotypes from a user's existing genotype file.",
            "short_description": "Imputer will perform imputation on user's genotype data to estimate genotypes at missing loci.",
            "slug": "imputer",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 36,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/147/jawbone.png",
            "contact_email": "support@openhumans.org",
            "id": 147,
            "id_label": "direct-sharing-147",
            "info_url": "",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "This project is now inactive as Jawbone has shut down all operations around their former activity trackers.\r\n\r\nJawbone made activity trackers. If you used a Jawbone device, you can use this project to import your Jawbone data – steps, sleep, and heartrate, if available.",
            "name": "Jawbone Connection",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Steps, sleep, and heartrate data, if available.",
            "short_description": "Jawbone made activity trackers. If you have Jawbone data, you can import it here.",
            "slug": "jawbone-connection",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 278,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/157/juno-exploratory-logo.png",
            "contact_email": "bgreshake@googlemail.com",
            "id": 157,
            "id_label": "direct-sharing-157",
            "info_url": "https://exploratory.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Bastian Greshake Tzovaras",
            "long_description": "Put your Personal Data Notebooks into our data exploration gallery to share them with others.",
            "name": "Juno's Personal Data Exploratory",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/71/"
            ],
            "request_sources_access": [
                "direct-sharing-71"
            ],
            "request_username_access": true,
            "returned_data_description": "",
            "short_description": "Showcase and share your Personal Data Notebooks with others",
            "slug": "junos-personal-data-exploratory",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 176,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/404/keating-memorial-self-research.png",
            "contact_email": "support@openhumans.org",
            "id": 404,
            "id_label": "direct-sharing-404",
            "info_url": "https://www.openhumans.org/self-research/",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "New to Open Humans? Read about us on our [\"About\" page](https://www.openhumans.org/about/).\r\n\r\nWe're inviting people to share ideas about self-research projects – questions they have, and potential approaches – and support each other in doing them.\r\n\r\nDoing this in a group means you can get help when you’re stuck! This is an opportunity to try self-research for the first time – or pursue a project you already have – by doing it with a small group of people with diverse skills.\r\n\r\nYou need an account to join. Anonymous usernames are allowed, and you don't need to use our data features.\r\n\r\nTo join:\r\n\r\n* Join this activity – we'll use this to contact you with updates!\r\n* Log in to our [Self-Research Forum](https://forums.openhumans.org/c/self-research/)\r\n* Post something, e.g.\r\n    * an idea you might want to do\r\n    * a project you're currently working on\r\n    * or just introduce yourself, say hi!\r\n\r\n[Click here for more info about the project.](https://www.openhumans.org/self-research)",
            "name": "Keating Memorial Self Research",
            "organization": "",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "",
            "short_description": "Can we collaborate when studying ourselves? This project aims to explore self-research via forum groups during Feb to Jul 2020.",
            "slug": "keating-memorial-self-research",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 437,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/private-sharing/badges/migrated/keeping-pace.png",
            "contact_email": "keepingpacestudy@gmail.com",
            "id": 6,
            "id_label": "direct-sharing-6",
            "info_url": "",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Dr. Rumi Chunara",
            "long_description": "Keeping Pace seeks to study data about how we move around, to understand how seasons and local environment influence our movement patterns.",
            "name": "Keeping Pace",
            "organization": "New York University",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/102/",
                "/api/public/project/147/",
                "/api/public/project/138/",
                "/api/public/project/14/",
                "/api/public/project/140/"
            ],
            "request_sources_access": [
                "direct-sharing-102",
                "direct-sharing-147",
                "direct-sharing-138",
                "direct-sharing-14",
                "direct-sharing-140"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "Keeping Pace seeks to study data about how we move around, to understand how seasons and local environment influence our movement patterns.",
            "slug": "keeping-pace",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 287,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/161/lineage_logo.png",
            "contact_email": "support@openhumans.org",
            "id": 161,
            "id_label": "direct-sharing-161",
            "info_url": "https://lineage.openhumans.org",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "lineage provides a framework for analyzing genotype (raw data) files from direct-to-consumer DNA testing companies (e.g., 23andMe, Family Tree DNA, and Ancestry), primarily for the purposes of genetic genealogy. Specifically, users can:\r\n\r\n* merge raw data files from different DNA testing companies (identifying discrepant SNPs in the process)\r\n* compute centiMorgans (cMs) of shared DNA between individuals using the HapMap Phase II genetic map\r\n* plot shared DNA between individuals\r\n* determine genes shared between individuals (i.e., genes transcribed from shared DNA segments)\r\n* find discordant SNPs between child and parent(s)\r\n* remap SNPs between assemblies / builds (e.g., convert SNPs from build 36 to build 37, etc.)\r\n\r\nlineage was originally developed by Andrew Riha and Scedastic Software LLC, and has transferred to management by Open Humans Foundation as of December 3 2019.",
            "name": "lineage",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/11/"
            ],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/129/",
                "/api/public/project/120/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-129",
                "direct-sharing-120"
            ],
            "request_username_access": false,
            "returned_data_description": "Remapped SNPs, merged and discrepant SNPs (if applicable)",
            "short_description": "lineage provides tools for genetic genealogy - find shared DNA and genes between individuals, merge raw data files, and remap SNPs",
            "slug": "lineage",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 20,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/screenshot_1842transp19.png",
            "contact_email": "liubov.tupikina@cri-paris.org",
            "id": 244,
            "id_label": "direct-sharing-244",
            "info_url": "https://sites.google.com/view/liubovkmatematike/research-projects/mobility-of-researchers?authuser=0",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "L Tupikina, V Estrada-Galinanes, M Santolini, B Greshake Tzovaras",
            "long_description": "As research gets more and more global [1,2] new countries and institutions are getting involved in the research activities around the world. There is an increasing need of understanding these complex mobility patterns.\r\nResearchers form a distributed open network around the world. In this project we would like to study the untapped opportunity of the network of scientists traveling around the globe. This could help us to understand how we are doing research and how we could contribute to local communities.\r\nThe examples of projects, where such analysis could be applied are project for scientists and educators, who use their travel opportunities and connect to local educational projects and local communities [2]. There are various projects, which could benefit from the study (e.g. ecological or science communication ones).\r\n\r\n1. A. Mannocci et al. http://oro.open.ac.uk/id/eprint/54310 (2018)\r\n2. L.Tupikina, et al. NetSci Proceed. (2018)",
            "name": "Mobility data of researchers",
            "organization": "CRI",
            "registered_datatypes": [
                "/api/public/datatype/4/",
                "/api/public/datatype/7/"
            ],
            "requested_sources": [
                "/api/public/project/182/"
            ],
            "request_sources_access": [
                "direct-sharing-182"
            ],
            "request_username_access": false,
            "returned_data_description": "Example of the dataset collected: travel cityA → cityB of a scientist (metadata: ORCID of a scientist who travels).",
            "short_description": "This project explores researchers mobility to provide opportunities for researchers when they travel and to connect them to local projects.",
            "slug": "mobility-data-of-researchers",
            "type": "on-site"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 100,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/badge.79e8bc5275a9.png",
            "contact_email": "support@openhumans.org",
            "id": 138,
            "id_label": "direct-sharing-138",
            "info_url": "",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "This integration is inactive: Facebook has shut down Moves and removed all of their data.\r\n\r\nWhile it was operating, this integration allowed you to connect the Moves app from your phone to your Open Humans account to collect and share your GPS location data.",
            "name": "Moves connection",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/",
                "/api/public/datatype/4/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Moves GPS tracking",
            "short_description": "Moves is an always-on steps and location logging app for iPhone and Android. It classifies activities as walking, cycling, running, transit,",
            "slug": "moves-connection",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 5,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/mpower-badge.png",
            "contact_email": "support@openhumans.org",
            "id": 141,
            "id_label": "direct-sharing-141",
            "info_url": "http://parkinsonmpower.org/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Lara Mangravite",
            "long_description": "The mPower study uses an iPhone app to investigate, track, and understand the symptoms of Parkinson's disease.",
            "name": "mPower study",
            "organization": "Sage Bionetworks",
            "registered_datatypes": [
                "/api/public/datatype/8/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Survey data and task data (tapping, voice, memory)",
            "short_description": "The mPower study uses an iPhone app to investigate, track, and understand the symptoms of Parkinson's disease.",
            "slug": "mpower-study",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 184,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/45/FoundationOwl.jpg",
            "contact_email": "research@nightscoutfoundation.org",
            "id": 45,
            "id_label": "direct-sharing-45",
            "info_url": "http://nightscoutfoundation.org/data-commons",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "The Nightscout Data Commons Committee",
            "long_description": "The Nightscout Data Commons was created to enable a simple way to share data sets from the community, both with traditional researchers who will create traditional research studies, and with groups or individuals from the community who want to review data as part of their own research projects. The Nightscout Data Commons will enable easy facilitation of data sharing from and with the Nightscout community. Anyone using Nightscout is welcome to donate their data to the Nightscout Data Commons. We encourage other studies or projects (including n=1 research, or research by individuals in the community) to access this data, as long as it meets the community principles for sharing results back to the community in a reasonable time frame and relatively open manner; and willing to be included in list of projects accessing this data.\r\n\r\nTo understand more about the Nightscout Data Commons and Research Use Cases visit http://www.nightscoutfoundation.org/data-commons",
            "name": "Nightscout Data Commons",
            "organization": "The Nightscout Foundation",
            "registered_datatypes": [
                "/api/public/datatype/7/"
            ],
            "requested_sources": [
                "/api/public/project/396/",
                "/api/public/project/31/"
            ],
            "request_sources_access": [
                "direct-sharing-396",
                "direct-sharing-31"
            ],
            "request_username_access": false,
            "returned_data_description": "Data from any associated project research survey such as demographics.",
            "short_description": "The Nightscout Data Commons collects data from Nightscout users and facilitates research in partnership with the DIY diabetes community.",
            "slug": "nightscout-data-commons",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 688,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/31/ns_badge.png",
            "contact_email": "james@nightscoutfoundation.org",
            "id": 31,
            "id_label": "direct-sharing-31",
            "info_url": "http://www.nightscoutfoundation.org/research/",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "James Wedding, P.E.",
            "long_description": "This open source tool was created to easily enable upload of data from individual Nightscout databases to the Open Humans platform. After using this tool to upload your data, you may want to consider donating your data to the Nightscout Data Commons, or other data commons and projects found on Open Humans.",
            "name": "Nightscout Data Transfer",
            "organization": "The Nightscout Foundation",
            "registered_datatypes": [
                "/api/public/datatype/2/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Data from Nightscout: profile.json, entries.json, treatments.json, and devicestatus.json",
            "short_description": "A tool to easily enable upload of data from individual Nightscout databases to the Open Humans platform",
            "slug": "nightscout-data-transfer",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 279,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/nobism-logo-517.jpg",
            "contact_email": "info@nobism.com",
            "id": 206,
            "id_label": "direct-sharing-206",
            "info_url": "https://www.nobism.com",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Rogier Koning",
            "long_description": "nobism-APP is a smart diary for patients to collect data about symptoms and their treatments to create a digital timeline of their disease progression. Its build to get better personal insights in the effectiveness of treatments and to .\r\n\r\n\r\n**OpenHumans**\r\n\r\nBy connecting to OpenHumans you get the option to save your data as backup and to share for research. \r\n.\r\n\r\n**Sharing for research**\r\n\r\nBy creating an account and storing data on OpenHumans, you also get the option to share data for research. \r\nSharing is only done through OpenHumans. Only you can share your data for research and you will have the option to cancel sharing or delete your complete data and account on OpenHumans.\r\n\r\n\r\n**Connected to OpenHumans**\r\n\r\nOnce connected to OpenHumans with the nobism-APP you get access to projects to share data for research, your account on OpenHumans and the option to synchronize data.",
            "name": "nobism",
            "organization": "nobism",
            "registered_datatypes": [
                "/api/public/datatype/17/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "csv file with all timepoints and relations general information from the Profile page",
            "short_description": "A simple Patient diary that all can use to keep track of symptoms and treatments",
            "slug": "nobism",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 15,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/nobism-logo-517.jpg",
            "contact_email": "info@nobism.com",
            "id": 257,
            "id_label": "direct-sharing-257",
            "info_url": "https://nobism.com",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Rogier Koning",
            "long_description": "**Please ONLY join this project if you are also a member of the \"nobism Ubiqum Cluster headache Project\"**\r\n\r\n\r\nThis project is setup to give all advocates for Cluster headache access to materials to support their work in creating awareness or getting new research started.\r\n\r\n\r\n\r\n**What will you share:**\r\nWe request access to the reports made by the \"nobism Ubiqum Cluster headache Project\"\r\n\r\n**What do we do with the reports:**\r\nYour reports will be made publicly available as a free download on nobism.com to be used in publications, advocacy work and to promote the work we do as cluster headache group and create Awareness about Cluster Headaches.\r\n\r\n**If you stop sharing:**\r\nIf you stop sharing your reports with this project, no new reports will be shared. The download links to your reports will be deleted from nobism.com. Reports that have already been used elsewhere on the web can't be deleted though.\r\n\r\n**Anonymized reports:**\r\nAll your reports will be anonymous.",
            "name": "nobism reports for Advocating",
            "organization": "nobism",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/252/"
            ],
            "request_sources_access": [
                "direct-sharing-252"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "Sharing reports created by the Ubiqum Code Academy",
            "slug": "nobism-reports-for-advocating",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 71,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/252/Logo-project.png",
            "contact_email": "info@nobism.com",
            "id": 252,
            "id_label": "direct-sharing-252",
            "info_url": "https://nobism.com/",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Rogier Koning, Sara Marín, Daniel Castejón",
            "long_description": "The nobism & Ubiqum project is setup to create a visualization and analysis of the data we collect as Cluster headache patients using the nobism app connected to OpenHumans.\r\n\r\n**Goal:** This project is setup to do our own research as patients with the data we can collect about our personal disease progression.\r\n\r\nData will be used to create a report. This report will exist out of 2 parts:\r\n\r\n- a part with a personal visualization of the data shared by the user\r\n- a part where we visualize trends and patterns based on all the data shared by the Cluster headache community.\r\n\r\nHere we will try to answer the questions, we have as patients, about our attacks and the effectiveness of our treatments.\r\n\r\nThis is a “Live” project where we will try and add extra information to the report every month. By connecting and interacting with the Cluster headache community, we hope to get all the questions the students can use to work on the work on the report will be done by final students.",
            "name": "nobism Ubiqum Cluster headache Project",
            "organization": "Ubiqum Code Academy",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/133/",
                "/api/public/project/206/",
                "/api/public/project/252/"
            ],
            "request_sources_access": [
                "direct-sharing-133",
                "direct-sharing-206",
                "direct-sharing-252"
            ],
            "request_username_access": false,
            "returned_data_description": "We want to create regular reports based on your own data and that of all that shared. These will be stored back into your OpenHumans account",
            "short_description": "The nobism Ubiqum project is setup to create a visualization and analysis of the data we collect as Cluster headache patients.",
            "slug": "nobism-ubiqum-cluster-headache-project",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 128,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/118/withings-badge.png",
            "contact_email": "support@openhumans.org",
            "id": 118,
            "id_label": "direct-sharing-118",
            "info_url": "",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "This project gets your Nokia Health (Withings) data from their API and adds it to your Open Humans account. It will take you through authentication with both Nokia Health, and Open Humans in order to link the two applications and will begin to transfer your data asynchronously.",
            "name": "Nokia Health (Withings) Connection",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Personal and environmental tracking data: body weight, temp, fat/water/muscle %; blood pressure; heart rate; air temp/quality; sleep; steps",
            "short_description": "Add your Nokia Health (Withings) data to Open Humans",
            "slug": "nokia-health-withings-connection",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 97,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/453/oh-data-port-3.png",
            "contact_email": "support@openhumans.org",
            "id": 453,
            "id_label": "direct-sharing-453",
            "info_url": "https://apps.apple.com/us/app/oh-data-port/id1512384252?ls=1",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Bastian Greshake Tzovaras",
            "long_description": "Install the [_OH Data Port_ app on your iPhone](https://apps.apple.com/us/app/oh-data-port/id1512384252?ls=1) to export your data from Apple Health to Open Humans. Currently the data you can export is limited to heart rate and resting heart rate data, but we aim to broaden this in the future!",
            "name": "OH Data Port for Apple Health",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Heart rate data from Apple HealthKit",
            "short_description": "Export your data from Apple Health to Open Humans",
            "slug": "oh-data-port-for-apple-health",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 147,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/468/Element_12000x.png",
            "contact_email": "openhumans@open-diabetes.eu",
            "id": 468,
            "id_label": "direct-sharing-468",
            "info_url": "https://open-diabetes.eu",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Shane O'Donnell",
            "long_description": "Digital innovations in healthcare have typically followed a ‘top-down’ pathway, with device manufacturers leading the design and production of technology-enabled solutions, and patients involved only as users of the end product.\r\nHowever, this is now being disrupted by the increasing influence and popularity of people with diabetes building “Do-it-yourself Artificial Pancreas Systems” (‘DIYAPS’) through remote control of medical devices with an open-source algorithm. Being built by everyone on one's own, these systems are neither CE-marked nor FDA-approved and as such, there is only a marginal amount of scientific evidence about their efficacy.\r\nThe “OPEN” project brings together an international and intersectoral consortium of patient innovators, clinicians, social scientists, computer scientists and patient advocacy organizations in order to investigate various aspects of DIYAPS systems and to improve the lack of evidence.",
            "name": "OPEN",
            "organization": "University College Dublin",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/396/",
                "/api/public/project/133/",
                "/api/public/project/31/"
            ],
            "request_sources_access": [
                "direct-sharing-396",
                "direct-sharing-133",
                "direct-sharing-31"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "OPEN creates scientific evidence on various aspects of Do-it-Yourself Artificial Pancreas Systems.",
            "slug": "open",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 316,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/Screen_Shot_2017-01-16_at_2.35.24_PM.png",
            "contact_email": "dana@openAPS.org",
            "id": 43,
            "id_label": "direct-sharing-43",
            "info_url": "https://openaps.org/data-commons/",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Dana Lewis",
            "long_description": "Members of the OpenAPS and DIY closed loop community have frequently expressed the desire to donate their DIY closed loop data for scientific research, or to perform research themselves. The OpenAPS Data Commons was created to enable a simple way to share data sets from the community, both with traditional researchers who will create traditional research studies, and with groups or individuals from the community who want to review data as part of their own research projects. The OpenAPS Data Commons will enable easy facilitation of data sharing from and with the OpenAPS community. Anyone using a DIY closed loop is welcome to donate their data to the OpenAPS Data Commons. We encourage other studies or projects (including n=1 research, or research by individuals in the community) to access this data, as long as it means the community principles for sharing results back to the community in a reasonable time frame and relatively open manner.",
            "name": "OpenAPS Data Commons",
            "organization": "OpenAPS",
            "registered_datatypes": [
                "/api/public/datatype/7/"
            ],
            "requested_sources": [
                "/api/public/project/396/",
                "/api/public/project/133/",
                "/api/public/project/31/"
            ],
            "request_sources_access": [
                "direct-sharing-396",
                "direct-sharing-133",
                "direct-sharing-31"
            ],
            "request_username_access": false,
            "returned_data_description": "Data from any associated project research surveys (such as an engagement score or other QOL data gathered)",
            "short_description": "The OpenAPS Data Commons collects data from DIY closed loopers and facilitates research in partnership with the DIY closed loop community.",
            "slug": "openaps-data-commons",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 212,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/14/OpenHumansAppLogoRound.png",
            "contact_email": "turner@blackbear.biz",
            "id": 14,
            "id_label": "direct-sharing-14",
            "info_url": "https://itunes.apple.com/us/app/open-humans-healthkit-uploader/id1128036305?ls=1&mt=8",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "James Turner",
            "long_description": "The Open Humans HealthKit Upload allows you to authenticate your mobile device with your Open Humans account, and then select HealthKit data to be uploaded in a JSON-formatted data file that researchers can use along with your other Open Humans datasets. The tool lets you select which HealthKit data you wish to upload, and you control when the files get uploaded.",
            "name": "Open Humans Healthkit Integration",
            "organization": "self",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "HealthKit data from your iPhone or iPad (visible in the Health app)",
            "short_description": "Install this third-party app on your iPhone or iPad to upload HealthKit data to Open Humans.",
            "slug": "open-humans-healthkit-integration",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 66,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/158/forum-badge.png",
            "contact_email": "support@openhumans.org",
            "id": 158,
            "id_label": "direct-sharing-158",
            "info_url": "https://forums.openhumans.org/",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Our online forums invite members to discuss Open Humans, projects, and more. Forum accounts are created with the same username as your Open Humans account. Projects that seek full deployment on the site undergo a community review process here, and we'd love to see it used for other things as well!",
            "name": "Open Humans Online Forums",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "",
            "short_description": "Our online forum invites members to discuss Open Humans, projects, and more.",
            "slug": "open-humans-online-forums",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 30,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/18/open-pokemon-go-go-go.png",
            "contact_email": "open-pokemon-go-go-go@googlegroups.com",
            "id": 18,
            "id_label": "direct-sharing-18",
            "info_url": "http://openpokemon.science",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "leader": "Madeleine Ball, Hyatt Moore, and Ernesto Ramirez",
            "long_description": "Are you an iPhone or Fitbit user? Whether or not you played the game – let's share our activity data for summer 2016 to explore together!",
            "name": "Open Pokemon GO GO GO!",
            "organization": "",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/102/",
                "/api/public/project/14/"
            ],
            "request_sources_access": [
                "direct-sharing-102",
                "direct-sharing-14"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "Are you an iPhone or Fitbit user? Whether or not you played the game – let's share our activity data for summer 2016 to explore together!",
            "slug": "open-pokemon-go-go-go",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 557,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/55/opensnp_sticker.png",
            "contact_email": "info@opensnp.org",
            "id": 55,
            "id_label": "direct-sharing-55",
            "info_url": "https://opensnp.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Bastian Greshake Tzovaras",
            "long_description": "openSNP is an open repository for genetic and phenotypic data. You can upload your genotyping data (from 23andMe, Ancestry.com, etc), your genome/exome sequencing data, and your phenotypic descriptions (like hair colour, eye colour, height, or medical conditions) on openSNP, where they will be put into the public domain and made publicly available. \r\n\r\nThis activity allows you to link your Open Humans account to your openSNP account, making it easier to re-use data between the two projects! Both openSNP and Open Humans will receive your username on the other platform!",
            "name": "openSNP",
            "organization": "openSNP",
            "registered_datatypes": [
                "/api/public/datatype/11/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "Will upload a link to the openSNP user page for two-way connection",
            "short_description": "openSNP allows you to put your genetic and phenotypic data into the public domain. Connect your openSNP account to Open Humans.",
            "slug": "opensnp",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 151,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/184/logo.png",
            "contact_email": "support@openhumans.org",
            "id": 184,
            "id_label": "direct-sharing-184",
            "info_url": "https://oura.openhumans.org",
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            "returned_data_description": "Self-reported incidents of illness, wearable data from Fitbit/Oura",
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            "returned_data_description": "Spotify recent played songs",
            "short_description": "Collect the songs you listen to on Spotify",
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            "info_url": "https://www.buergerschaffenwissen.de/projekt/teqfor1-auswirkungen-technischer-systeme-auf-die-eigene-lebensqualitaet-von-menschen-mit",
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            "leader": "Silvia Woll & TeQfor1 community members",
            "long_description": "People with type 1 diabetes using an Open Source Artificial Pancreas System (OSAPS) for themselves with T1D are often criticized for using systems without regulatory approval. To date, only few studies evaluate the impact of OSAPS on blood glucose levels and quality of life. TeQfor1 is a Citizen Science project for German-speaking people, in which the users of OSAPS first define the criteria according to which the OSAPS are examined and then investigate the impacts of OSAPS with scientifically valid methods. The TeQfor1 Citizen Scientists decided that one of the core elements is the collection and analysis of blood glucose data by the citizen scientists to show how OSAPS influence glycemic control. A team of academic scientists from the fields of medicine, computer science, and technology assessment supports the TeQfor1 citizen scientists regarding selection of methods and appropriateness of the chosen tools.",
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            "short_description": "TeQfor1 is a citizen science project with users of Open Source Artificial Pancreas Systems to show the impact of these systems on their life",
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            "contact_email": "christian.zuend@econ.uzh.ch",
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            "info_url": "http://www.econ.uzh.ch/en/people/faculty/fehr/fep.html",
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            "leader": "Christian Zuend",
            "long_description": "Social norms and social preferences affect the way we interact with others everyday. Biologists have come to realize that microbes might have influenced the development of human social behavior, because close interactions facilitate the exchange of microbes between different hosts.\r\n\r\nThis study collects information on human preferences and social norms to investigates the influence of the microbiome on the development of human social preferences and behavior. After completion of the study, participants will receive detailed feedback on their measured preferences and how they compare to the preferences of a representative sample of Americans.",
            "name": "The Preference Project",
            "organization": "Department of Economics, University of Zurich",
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            "short_description": "This study investigates the influence of the microbiome on the development of human social preferences and behavior.",
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            "contact_email": "v.pannunzio@tudelft.nl",
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            "info_url": "https://delftdesignlabs.org/projects/the-quantified-heart/",
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            "leader": "Valeria Pannunzio",
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            "name": "The Quantified Heart",
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            "short_description": "The Quantified Heart is an international participatory study on blood pressure self-tracking practices among early technology adopters.",
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            "contact_email": "bastian.greshake-tzovaras@cri-paris.org",
            "id": 514,
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            "info_url": "http://www.transbiome.org",
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            "leader": "Bastian Greshake Tzovaras",
            "long_description": "## Français \r\n\r\nL'objectif de cette étude est de mieux comprendre la diversité microbienne et la composition des microbiomes que l'on trouve dans les néo-vagins. À cette fin, nous voulons analyser le microbiome néo-vaginal de plusieurs femmes trans et nous chercherons également à savoir si les différentes techniques chirurgicales et les soins post-opératoires ont un impact sur sa constitution. \r\n\r\n\r\n## English \r\n\r\nThe objective of this study is to gain a better understanding of the microbial diversity and composition of the microbiomes that are found in neo-vaginas. To that end we aim to analyze the neo-vaginal microbiome of several trans women and will also investigate whether different surgical techniques and post-operative care have an impact on its constitution.\r\n\r\n##### (Icon adapted from one by [Freepik](https://www.flaticon.com/authors/freepik))",
            "name": "Transbiome",
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            "returned_data_description": "Description of added data here",
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            "leader": "Bastian Greshake Tzovaras",
            "long_description": "Twitter archives are a rich source of data for doing research into numerous things: Learning about social media and interaction networks, gaining insights into movement patterns based on geolocations and even doing sentiment analysis based on the tweets. And the best part of it: Unless you have a protected Twitter account this data is already public. So why not share it? \r\n\r\nThe TwArχiv takes in your Twitter archive and generates interesting visualizations from your own tweets, including tweet volume over time and your interaction/movement patterns.",
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            "returned_data_description": "Zipped Twitter archives",
            "short_description": "The TwArχiv is a Twitter Archive Analyzer. Upload your Twitter archive and get new insights.",
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            "returned_data_description": "Raw uBiome sequencing data",
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            "contact_email": "oshaer@wellesley.edu",
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            "info_url": "http://cs.wellesley.edu/~hcilab/pghci.html",
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            "leader": "Orit Shaer, Mad Price Ball, Oded Nov",
            "long_description": "Do you have microbiome data?\r\n\r\n\r\n Help us understand how to help people capture, visualize, and engage with their microbiome data. At this stage of the project, we seek to better understand people’s needs and practices as they engage with their personal microbiome data. The long-term goal of this project is to design more novel interactive tools that promote exploration, collaborative sense-making, sharing, and citizen science initiatives related to genetics and microbiome data.\r\n\r\n\r\nAfter joining this project, we will ask you to answer a questionnaire about your experience engaging with your personal microbiome data. This should take about 15 minutes.\r\n\r\n\r\nTo learn more about the project, read our ACM CSCW workshop paper:\r\nhttps://tinyurl.com/pghci-cscw\r\n\r\n\r\nThe NSF funded UbiQomix Microbiome Exploration project, run by the Human-Computer Interaction for Personal Genomics at Wellesley College and New York University.",
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}