This paper is in the following e-collection/theme issue:

Clinical Informatics (1022) Standards and Interoperability (74) Digital Health Reporting Standards, Quality and Transparency in e-Research (71) Data Science (270) eHealth Infrastructures (345) Precision Medicine (75) Big Data (240) Health Information Exchange (97) Information Models (28)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42822, first published .
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

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

Authors of this article:

A Anil Sinaci1 Author Orcid Image ;   Mert Gencturk1, 2 Author Orcid Image ;   Huseyin Alper Teoman1, 2 Author Orcid Image ;   Gokce Banu Laleci Erturkmen1 Author Orcid Image ;   Celia Alvarez-Romero3 Author Orcid Image ;   Alicia Martinez-Garcia3 Author Orcid Image ;   Beatriz Poblador-Plou4 Author Orcid Image ;   Jonás Carmona-Pírez4 Author Orcid Image ;   Matthias Löbe5 Author Orcid Image ;   Carlos Luis Parra-Calderon3 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

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  4. Namli T, Anıl Sınacı A, Gönül S, Herguido C, Garcia-Canadilla P, Muñoz A, Esteve A, Ertürkmen G. A scalable and transparent data pipeline for AI-enabled health data ecosystems. Frontiers in Medicine 2024;11 View
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