Return publicly available information about projects a member joined.

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{
    "count": 37,
    "next": null,
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    "results": [
        {
            "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": true,
            "approved": true,
            "authorized_members": 1253,
            "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": 445,
            "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": 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": 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": 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": 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": 246,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/39/android-chrome-512x512.png",
            "contact_email": "support@openhumans.org",
            "id": 39,
            "id_label": "direct-sharing-39",
            "info_url": "https://quantifiedflu.org/about",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Mad Ball & Bastian Greshake Tzovaras",
            "long_description": "Can wearable devices help predict when we're getting sick? Help us find out! We have two ways to you can contribute: analyze past data (we'll create a graph for you!), and sign up to track illness going forward.\r\n\r\nYour data for good: The deidentified & aggregated data will be shared with researchers & publicly to maximize the impact of our data. But you can opt-out of this at any point!",
            "name": "Quantified Flu",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/102/",
                "/api/public/project/191/",
                "/api/public/project/453/",
                "/api/public/project/184/"
            ],
            "request_sources_access": [
                "direct-sharing-102",
                "direct-sharing-191",
                "direct-sharing-453",
                "direct-sharing-184"
            ],
            "request_username_access": false,
            "returned_data_description": "Self-reported incidents of illness, wearable data from Fitbit/Oura",
            "short_description": "Can wearable devices help predict when we're getting sick? Analyze past data & help us learn!",
            "slug": "quantified-flu",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 637,
            "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": false,
            "approved": true,
            "authorized_members": 712,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/70/twarxiv.g4806.png",
            "contact_email": "bgreshake@googlemail.com",
            "id": 70,
            "id_label": "direct-sharing-70",
            "info_url": "http://twarxiv.org",
            "is_academic_or_nonprofit": false,
            "is_study": false,
            "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.",
            "name": "Twitter Archive Analyzer",
            "organization": "",
            "registered_datatypes": [
                "/api/public/datatype/6/",
                "/api/public/datatype/4/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Zipped Twitter archives",
            "short_description": "The TwArχiv is a Twitter Archive Analyzer. Upload your Twitter archive and get new insights.",
            "slug": "twitter-archive-analyzer",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 1974,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/71/personal-data-notebooks-logo.png",
            "contact_email": "support@openhumans.org",
            "id": 71,
            "id_label": "direct-sharing-71",
            "info_url": "https://notebooks.openhumans.org/",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Bastian Greshake Tzovaras",
            "long_description": "Explore and analyze your personal data that's stored in your Open Humans account right in your web browser! The \"Personal Data Notebooks\" project enables members to create and share analyses, while preserving the privacy of their personal data.",
            "name": "Personal Data Notebooks",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/10/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": true,
            "returned_data_description": "Personal Data Notebooks",
            "short_description": "Play with code for analyzing personal data! Your data stays private on a personal virtual machine.",
            "slug": "personal-data-notebooks",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 519,
            "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": true,
            "approved": true,
            "authorized_members": 616,
            "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": 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": 129,
            "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": 2033,
            "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": true,
            "approved": true,
            "authorized_members": 522,
            "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": 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": 250,
            "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": 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": 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": 222,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/140/runkeeper-badge.png",
            "contact_email": "support@openhumans.org",
            "id": 140,
            "id_label": "direct-sharing-140",
            "info_url": "https://runkeeper.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "RunKeeper is a free smartphone app for GPS fitness-tracking. You can use it to record GPS timepoint data for runs, walks, bicycling, and other exercise.",
            "name": "Runkeeper 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": "Activity data from your Runkeeper account",
            "short_description": "RunKeeper is a free smartphone app for GPS fitness-tracking. You can use it to record GPS timepoint data for runs, walks, bicycling, and oth",
            "slug": "runkeeper-connection",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 349,
            "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": 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": true,
            "approved": true,
            "authorized_members": 68,
            "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": 162,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/176/badge.png",
            "contact_email": "support@openhumans.org",
            "id": 176,
            "id_label": "direct-sharing-176",
            "info_url": "https://oh-spotify-integration.herokuapp.com",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Collect the songs you listen to on Spotify",
            "name": "Spotify integration",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/14/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Spotify recent played songs",
            "short_description": "Collect the songs you listen to on Spotify",
            "slug": "spotify-integration",
            "type": "oauth2"
        },
        {
            "active": false,
            "approved": true,
            "authorized_members": 622,
            "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": 434,
            "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": 174,
            "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",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Connect your Oura Ring to Open Humans and we will regularly fetch your latest Oura data!",
            "name": "Oura Connect",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/1/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Oura sleep and activity data",
            "short_description": "Connect your Oura to Open Humans",
            "slug": "oura-connect",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 135,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/186/AppIcon1.png",
            "contact_email": "support@openhumans.org",
            "id": 186,
            "id_label": "direct-sharing-186",
            "info_url": "https://overland.openhumans.org",
            "is_academic_or_nonprofit": true,
            "is_study": false,
            "leader": "Open Humans",
            "long_description": "Import GPS data from Overland",
            "name": "Overland connection",
            "organization": "Open Humans Foundation",
            "registered_datatypes": [
                "/api/public/datatype/4/"
            ],
            "requested_sources": [],
            "request_sources_access": [],
            "request_username_access": false,
            "returned_data_description": "Overland GPS records",
            "short_description": "Import GPS data from Overland",
            "slug": "overland-connection",
            "type": "oauth2"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 145,
            "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": 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": 53,
            "badge_image": "https://open-humans-production.s3.amazonaws.com/direct-sharing/badges/258/qheart-emblem.jpg",
            "contact_email": "v.pannunzio@tudelft.nl",
            "id": 258,
            "id_label": "direct-sharing-258",
            "info_url": "https://delftdesignlabs.org/projects/the-quantified-heart/",
            "is_academic_or_nonprofit": true,
            "is_study": true,
            "leader": "Valeria Pannunzio",
            "long_description": "The Quantified Heart is an international exploratory study on emerging blood pressure self-tracking practices among early technology adopters - and specifically among Quantified Selfers. In this study, we would like to track our own blood pressure (and any additional parameters deemed relevant to each participant) within a group of curious self-trackers, to explore together ways to collect, visualize and interpret this data point in order to achieve self-knowledge. The study is designed to be exploratory, participatory and to support the self-tracking interests and preferences of each individual participants.",
            "name": "The Quantified Heart",
            "organization": "Delft University of Technology",
            "registered_datatypes": [],
            "requested_sources": [
                "/api/public/project/133/",
                "/api/public/project/102/",
                "/api/public/project/191/",
                "/api/public/project/14/",
                "/api/public/project/184/",
                "/api/public/project/71/",
                "/api/public/project/149/"
            ],
            "request_sources_access": [
                "direct-sharing-133",
                "direct-sharing-102",
                "direct-sharing-191",
                "direct-sharing-14",
                "direct-sharing-184",
                "direct-sharing-71",
                "direct-sharing-149"
            ],
            "request_username_access": true,
            "returned_data_description": "",
            "short_description": "The Quantified Heart is an international participatory study on blood pressure self-tracking practices among early technology adopters.",
            "slug": "the-quantified-heart",
            "type": "on-site"
        },
        {
            "active": true,
            "approved": true,
            "authorized_members": 92,
            "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": 227,
            "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": 104,
            "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": 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"
        }
    ]
}