Return list of all approved projects.

Supported filters: - active - id - name

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{
    "count": 19,
    "next": null,
    "previous": null,
    "results": [
        {
            "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": 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": 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": 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": 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": 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": 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": 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": 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": false,
            "approved": true,
            "authorized_members": 63,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/23/OutlineSunDevil_copy.png",
            "contact_email": "PokemonGoSTStudy@gmail.com",
            "id": 23,
            "id_label": "direct-sharing-23",
            "info_url": "",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Eric Hekler and Alexander Biel",
            "long_description": "Pokemon Go: A Socio-Technical Exploratory Study \r\n\r\nI am inviting your participation, which will involve a usability study. The aim of the usability study will be looking to gain a better understanding of how often you play PokeMon Go and your overall physical activity level. We will be recording information about PokeMon Go use via daily survey questions that we will ask you at the end of each day, delivered via a mobile app called “Paco.”  We will gather information about how many steps you take each day from the mobile application HealthKit, which is already included in your iPhone. You will be asked to participate for at least a minimum of one week.  If you so choose, you can opt in to continue to provide both step data from HealthKit and/or fill out the evening survey questions on your phone for as long as you have the interest. You have the right to not answer any question, or stop participation in the study at any time.",
            "name": "Pokemon Go: A Socio-Technical Exploratory Study",
            "organization": "Arizona State University",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/14/"
            ],
            "request_sources_access": [
                "direct-sharing-14"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "Pokemon Go: A Socio-Technical Study",
            "slug": "pokemon-go-a-socio-technical-exploratory-study",
            "type": "on-site"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 6,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/60/resilience-logo.png",
            "contact_email": "study@resilienceproject.com",
            "id": 60,
            "id_label": "direct-sharing-60",
            "info_url": "http://www.resilienceproject.com",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Jason Bobe",
            "long_description": "The Resilience Project aims to discover why some people are more able to overcome challenges to their health and escape disease. These people are “resilient.” Finding and studying resilient individuals could pave the way to new insights about health, better disease prevention strategies or new treatments.",
            "name": "Resilience Project Study",
            "organization": "Icahn School of Medicine at Mount Sinai",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/129/",
                "/api/public/project/120/",
                "/api/public/project/131/",
                "/api/public/project/139/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-129",
                "direct-sharing-120",
                "direct-sharing-131",
                "direct-sharing-139"
            ],
            "request_username_access": false,
            "returned_data_description": "",
            "short_description": "The Resilience Project aims to discover why some people are more able to overcome challenges to their health and escape disease.",
            "slug": "resilience-project-study",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 0,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/None/Element_5.png",
            "contact_email": "teqfor1@omux.de",
            "id": 604,
            "id_label": "direct-sharing-604",
            "info_url": "https://www.buergerschaffenwissen.de/projekt/teqfor1-auswirkungen-technischer-systeme-auf-die-eigene-lebensqualitaet-von-menschen-mit",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "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.",
            "name": "TeQfor1",
            "organization": "TeQfor1 community & Karlsruhe Institute of Technology",
            "registered_datatypes": [],
            "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": "",
            "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",
            "slug": "teqfor1",
            "type": "on-site"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 141,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/1/PP_transparent.png",
            "contact_email": "christian.zuend@econ.uzh.ch",
            "id": 1,
            "id_label": "direct-sharing-1",
            "info_url": "http://www.econ.uzh.ch/en/people/faculty/fehr/fep.html",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "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",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/128/",
                "/api/public/project/134/",
                "/api/public/project/129/",
                "/api/public/project/133/",
                "/api/public/project/131/",
                "/api/public/project/24/",
                "/api/public/project/139/",
                "/api/public/project/132/",
                "/api/public/project/142/"
            ],
            "request_sources_access": [
                "direct-sharing-128",
                "direct-sharing-134",
                "direct-sharing-129",
                "direct-sharing-133",
                "direct-sharing-131",
                "direct-sharing-24",
                "direct-sharing-139",
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}