Research data warehouse best practices: catalyzing national data sharing through informatics innovation.
In: Journal of the American Medical Informatics Association, Jg. 29 (2022-04-01), Heft 4, S. 581-584
Online
academicJournal
Zugriff:
Research Patient Data Repositories (RPDRs) have become essential infrastructure for traditional Clinical and Translational Science Award (CTSA) programs and increasingly for a wide range of research consortia[[1], [3]] and learning health system networks. In the data commons, datasets associated with various research projects were made findable, accessible, interoperable, and reusable (FAIR) through the open-source Gen3 data platform that enables the interoperation and creation of cloud-based data resources. Compared to on-premises infrastructure, cloud storage is inexpensive and readily available with automatic backups, and secure analytics in the cloud are easily enabled on large datasets containing protected health information. [Extracted from the article]
Titel: |
Research data warehouse best practices: catalyzing national data sharing through informatics innovation.
|
---|---|
Autor/in / Beteiligte Person: | Murphy, Shawn N ; Visweswaran, Shyam ; Becich, Michael J ; Campion, Thomas R ; Knosp, Boyd M ; Melton-Meaux, Genevieve B ; Lenert, Leslie A |
Link: | |
Zeitschrift: | Journal of the American Medical Informatics Association, Jg. 29 (2022-04-01), Heft 4, S. 581-584 |
Veröffentlichung: | 2022 |
Medientyp: | academicJournal |
ISSN: | 1067-5027 (print) |
DOI: | 10.1093/jamia/ocac024 |
Schlagwort: |
|
Sonstiges: |
|