Data-derived Identity Verification as a principle for the dissemination, harmonization, and artificial intelligence reuse of sensitive biomedical data
Benjamin A Cordier, Erik S Benton, Eamon J Dysinger, Shannon K McWeeney, Benjamin A Cordier, Benjamin A Cordier, Erik S Benton, Eamon J Dysinger, Shannon K McWeeney, Arash Alavi, Adrienne Baer, Amir Bahmani, Monique Bangudi, Sally L Baxter, Marian S Blazes, Steven R Chamberlin, Christopher G Chute, Jorge L Contreras, Virginia R de Sa, Nicholas Evans, Kadija Ferryman, Aydan Gasimova, Nayoon Gim, Shahin Hallaj, Anna Heinke, Stephanie Hong, Michelle R Hribar, Samm Hurst, Fritz Gerald P Kalaw, Cecilia S Lee, Aaron Y Lee, Jennifer Li- Pook-Than, Abigail Lucero, Dawn S Matthies, Gerald McGwin, Jessica Mitchell, Julie Mitchell, Liz Moyer, Camille Nebeker, Taiki Nishihara · 2026
Read Data-derived Identity Verification as a principle for the dissemination, harmonization, and artificial intelligence reuse of sensitive biomedical data by Benjamin A Cordier, Erik S Benton, Eamon J Dysinger, Shannon K McWeeney, Benjamin A Cordier, Benjamin A Cordier, Erik S Benton, Eamon J Dysinger, Shannon K McWeeney, Arash Alavi, Adrienne Baer, Amir Bahmani, Monique Bangudi, Sally L Baxter, Marian S Blazes, Steven R Chamberlin, Christopher G Chute, Jorge L Contreras, Virginia R de Sa, Nicholas Evans, Kadija Ferryman, Aydan Gasimova, Nayoon Gim, Shahin Hallaj, Anna Heinke, Stephanie Hong, Michelle R Hribar, Samm Hurst, Fritz Gerald P Kalaw, Cecilia S Lee, Aaron Y Lee, Jennifer Li- Pook-Than, Abigail Lucero, Dawn S Matthies, Gerald McGwin, Jessica Mitchell, Julie Mitchell, Liz Moyer, Camille Nebeker, Taiki Nishihara (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13278835.txt.
Description
Benjamin A Cordier leads a 2026 study of a watermarking system for sharing sensitive biomedical data safely. Controlled-access sharing assumes data stay put, which limits large-scale harmonization and AI use. The system, called Data-derived Identity Verification, embeds a cryptographically verifiable identity inside each data file, so copies stay traceable wherever they travel.
Deployed for a diabetes research consortium, it has watermarked more than one point eight petabytes across over nine hundred data copies and one hundred sixty million files. A novel sharing license, private tracing, and teaching materials extend accountability beyond controlled settings. Traceable movement, rather than lockdown, is the organizing principle the authors propose.
Catalog record
| CREATOR | Benjamin A Cordier, Erik S Benton, Eamon J Dysinger, Shannon K McWeeney, Benjamin A Cordier, Benjamin A Cordier, Erik S Benton, Eamon J Dysinger, Shannon K McWeeney, Arash Alavi, Adrienne Baer, Amir Bahmani, Monique Bangudi, Sally L Baxter, Marian S Blazes, Steven R Chamberlin, Christopher G Chute, Jorge L Contreras, Virginia R de Sa, Nicholas Evans, Kadija Ferryman, Aydan Gasimova, Nayoon Gim, Shahin Hallaj, Anna Heinke, Stephanie Hong, Michelle R Hribar, Samm Hurst, Fritz Gerald P Kalaw, Cecilia S Lee, Aaron Y Lee, Jennifer Li- Pook-Than, Abigail Lucero, Dawn S Matthies, Gerald McGwin, Jessica Mitchell, Julie Mitchell, Liz Moyer, Camille Nebeker, Taiki Nishihara |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 16505 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |