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deprecated Integrating Data for Analysis, Anonymization, and Sharing


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This record was deprecated on Jan. 30, 2018 for the following reason(s): This resource has been deprecated as funding has ended. As of 07/30/2017, all data within any of the communities in iDASH were no longer accessible. Please contact with any questions.

Integrating Data for Analysis, Anonymization and SHaring (iDASH) is one of the National Centers for Biomedical Computing (NCBC) under the NIH Roadmap for Bioinformatics and Computational Biology. Founded in 2010, the iDASH center is hosted on the campus of the University of California, San Diego and addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. Driving biological projects motivate, inform, and support tool development in iDASH. iDASH collaborates with other NCBCs and disseminates tools via annual workshops, presentations at major conferences, and scientific publications. iDASH offers a secure cyberinfrastructure and tools to support a privacy-preserving data repository and open source software. iDASH also is active in research and training in its mission area.


Countries that developed this resource United States

Created in 2010

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How to cite this record iDASH; Integrating Data for Analysis, Anonymization, and Sharing; DOI:; Last edited: April 26, 2021, 2:43 p.m.; Last accessed: Nov 30 2021 2:11 a.m.

Record updated: April 20, 2021, 4:58 p.m. by The FAIRsharing Team.

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iDASH: integrating data for analysis, anonymization, and sharing

Lucila Ohno-Machado et al.
Journal of the American Medical Informatics Association 2012

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Grant Number(s)

  • U54HL108460 (National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA)