From Raw Data to FAIR Data: The FAIRification Workflow for Health Research

2020122 citationsJournal Articlegreen Open Access

Authors

Ali Anıl Sınacı · Software Research and Development Consulting

Francisco J. Núñez-Benjumea · Universidad de Sevilla

Mert Gençtürk · Software Research and Development Consulting

Malte-Levin Jauer · Medizinische Hochschule Hannover

Thomas M. Deserno · Medizinische Hochschule Hannover

Catherine Chronaki · Health Level Seven International

Giorgio Cangioli

Abstract

Routine health care datasets or data resulting from health research can be FAIRified, shared and reused within the health research community following the proposed FAIRification workflow and implementing technical architecture.

Topics & Keywords

Research Data Management Practices Scientific Computing and Data Management Data Quality and Management

UN Sustainable Development Goals

Partnerships for the goals

Publication Details

Published in: Methods of Information in Medicine

Volume 59, Issue S 01, pp. e21-e32

DOI: 10.1055/s-0040-1713684

Field-Weighted Citation Impact: 20.30