Integrating Data for Analysis, Anonymization, and Sharing (iDASH)
How to cite this record FAIRsharing.org: iDASH; Integrating Data for Analysis, Anonymization, and Sharing (iDASH); DOI: https://doi.org/10.25504/FAIRsharing.k81521; Last edited: Jan. 8, 2019, 1:19 p.m.; Last accessed: Oct 20 2020 9:05 p.m.
Record updated: Jan. 30, 2018, 7:44 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.k81521' by 'The FAIRsharing Team' at 19:41, 30 Jan 2018 (approved): 'description' has been modified: Before: iDASH, the newest Common Fund National Center for Biomedical Computing, addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. 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. After: 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.
|Microrna Analysis in GPU Infrastructure||https://idash.ucsd.edu/dbp-tools|
|Genome Query Language||https://idash.ucsd.edu/dbp-tools|
|Observational Cohort Event Analysis and Notification System||https://idash.ucsd.edu/dbp-tools|
|Sensing Sedentary (and physical activity behavior)||https://idash.ucsd.edu/dbp-tools|
iDASH: integrating data for analysis, anonymization, and sharing
Lucila Ohno-Machado , Vineet Bafna , Aziz A Boxwala , Brian E Chapman , Wendy W Chapman , Kamalika Chaudhuri , Michele E Day , Claudiu Farcas , Nathaniel D Heintzman , Xiaoqian Jiang , Hyeoneui Kim , Jihoon Kim , Michael E Matheny , Frederic S Resnic , Staal A Vinterbo , and the iDASH team
Journal of the American Medical Informatics Association 2012
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University of California San Diego, CA, USA (University)
U54HL108460 (National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA)