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

A Anil Sinaci   1 , PhD ;   Mert Gencturk   1, 2 , PhD ;   Huseyin Alper Teoman   1, 2 , BSc ;   Gokce Banu Laleci Erturkmen   1 , PhD ;   Celia Alvarez-Romero   3 , MSc ;   Alicia Martinez-Garcia   3 , PhD ;   Beatriz Poblador-Plou   4 , MPH, PhD ;   Jonás Carmona-Pírez   4 , MSc, MD, PhD ;   Matthias Löbe   5 , MSc ;   Carlos Luis Parra-Calderon   3 , MSc

1 Software Research & Development and Consultancy Corporation (SRDC), Cankaya, Turkey

2 Department of Computer Engineering, Middle East Technical University, Cankaya, Turkey

3 Group of Computational Health Informatics, Institute of Biomedicine of Seville, Virgen del Rocío University Hospital, Spanish National Research Council, University of Seville, Seville, Spain

4 EpiChron Research Group, Aragon Health Sciences Institute (IACS), Aragon Health Research Institute (IIS Aragon), Zaragoza, Spain

5 Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany

Corresponding Author:

  • A Anil Sinaci, PhD
  • Software Research & Development and Consultancy Corporation (SRDC)
  • Orta Dogu Teknik Universitesi Teknokent K1-16
  • Cankaya, 06800
  • Turkey
  • Phone: 90 3122101763
  • Fax: 90 3122101837
  • Email: anil@srdc.com.tr