Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study

Metadata describe and provide context for other data, playing a pivotal role in enabling findability, accessibility, interoperability, and reusability (FAIR) data principles. By providing comprehensive and machine-readable descriptions of digital resources, metadata empower both machines and human u...

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Bibliographic Details

Published in:	Online journal of public health informatics Vol. 16; p. e56237
Main Authors:	Amadi, David, Kiwuwa-Muyingo, Sylvia, Bhattacharjee, Tathagata, Taylor, Amelia, Kiragga, Agnes, Ochola, Michael, Kanjala, Chifundo, Gregory, Arofan, Tomlin, Keith, Todd, Jim, Greenfield, Jay
Format:	Journal Article
Language:	English
Published:	Canada JMIR Publications 01.08.2024
Subjects:	data models JSON-LD metadata FAIR data principles data science machine-readable metadata Observational Medical Outcomes Partnership Common Data Model DDI OMOP CDM standardization Data Documentation Initiative JavaScript Object Notation for Linked Data
ISSN:	1947-2579, 1947-2579
Online Access:	Get full text
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