Reference health

All Our Data Will Be Health Data One Day: The Need for Universal Data Protection and Comprehensive Consent

https://doi.org/10.2196/16879
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27/27 checkable references clean · checked 2026-08-25

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 27 checked references that resolve
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Considerations for ethics review of big data health research: A scoping review
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Instagram photos reveal predictive markers of depression
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Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study
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Mining smartphone data for app usage prediction and recommendations: A survey
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Where and what: Using smartphones to predict next locations and applications in daily life
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How Should Health Data Be Used?
resolves10.1093/idpl/ipt005
Notice and consent in a world of Big Data
resolves10.1038/nbt.3223
The digital phenotype
resolves10.1073/pnas.1218772110
Private traits and attributes are predictable from digital records of human behavior
resolves10.1007/s11673-017-9809-6
Biomedical Big Data: New Models of Control Over Access, Use and Governance
resolves10.1177/1073110518766026
Health Research with Big Data: Time for Systemic Oversight
resolves10.1016/B978-0-12-809269-9.00005-0
Big Data For Health Through Social Media
resolves10.1177/1745691616650285
Using Smartphones to Collect Behavioral Data in Psychological Science
resolves10.1186/s40537-016-0059-y
Big data privacy: a technological perspective and review
resolves10.15252/embr.201846579
The Cambridge Analytica affair and Internet‐mediated research
resolves10.15252/emmm.202012053
Google's Project Nightingale highlights the necessity of data science ethics review
resolves10.1177/2053951716686994
Conceptualising the right to data protection in an era of Big Data
resolves10.31228/osf.io/mu2kf
A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI
resolves10.1016/S1473-3099(16)30119-0
Plagued by doubt and viral misinformation: the need for evidence-based use of historical disease images
resolves10.1038/ejhg.2015.239
Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach
resolves10.1080/15265161.2013.768864
Informed Consent, Big Data, and the Oxymoron of Research That Is Not Research
resolves10.1007/978-3-319-33525-4_9
On the Compatibility of Big Data Driven Research and Informed Consent: The Example of the Human Brain Project
resolves10.1038/ejhg.2014.71
Dynamic consent: a patient interface for twenty-first century research networks
resolves10.1177/2053951718824352
Medical research, Big Data and the need for privacy by design
resolves10.2196/medinform.3525
Dynamic Consent: A Possible Solution to Improve Patient Confidence and Trust in How Electronic Patient Records Are Used in Medical Research
resolves10.1007/s13347-018-0320-8
Democratizing Health Research Through Data Cooperatives
resolves10.1145/1572532.1572538
A "nutrition label" for privacy
The 7 references without a DOI — listed, not checked
no DOI — not checkedUK Children's Commissioner20182019-10-24Simplified social media terms and conditions for Facebook, Instagram, Snapchat, YouTube and WhatsApphttps://www.childrenscommissioner.gov.uk/publication/simplified-social-media-terms-and-conditions-for-facebook-instagram-snapchat-youtube-and-whatsapp/
no DOI — not checkedThe European Parliament and The Council of The European UnionOfficial Journal of the European Union2019-10-24General Data Protection Regulationhttps://eur-lex.europa.eu/
no DOI — not checkedFederal Trade Commission20162019-10-31Mobile Health App Developers: FTC Best Practiceshttps://www.ftc.gov/tips-advice/business-center/guidance/mobile-health-app-developers-ftc-best-practices
no DOI — not checkedref18
no DOI — not checkedTime Machine2019-10-24Big Data of the Past for the Future of Europehttps://www.timemachine.eu/
no DOI — not checkedref25
no DOI — not checkedref33
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. If Crossref’s record marks the work itself retracted, withdrawn, or removed, the badge says so instead of showing clean. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-25 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

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