A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study

A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study

BackgroundSharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enable data interoperability. Many studies provide implementa...

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Bibliographic Details
Main Authors: A Anil Sinaci, Mert Gencturk, Huseyin Alper Teoman, Gokce Banu Laleci Erturkmen, Celia Alvarez-Romero, Alicia Martinez-Garcia, Beatriz Poblador-Plou, Jonás Carmona-Pírez, Matthias Löbe, Carlos Luis Parra-Calderon
Format: Article
Language:English
Published: JMIR Publications 2023-03-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2023/1/e42822

Internet

https://www.jmir.org/2023/1/e42822

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