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End User Evaluation of the FAIR4Health Data Curation Tool

Authors :
Gencturk, Mert
Teoman, Alper
Álvarez-Romero, Celia
Martínez-García, Alicia
Parra-Calderón, Carlos Luis
Poblador-Plou, Beatriz
Löbe, Matthias
Sinaci, A. Anil
European Commission
Source :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2021
Publisher :
IOS Press, 2021.

Abstract

Studies in Health Technology and Informatics.<br />The aim of this study is to build an evaluation framework for the user-centric testing of the Data Curation Tool. The tool was developed in the scope of the FAIR4Health project to make health data FAIR by transforming them from legacy formats into a Common Data Model based on HL7 FHIR. The end user evaluation framework was built by following a methodology inspired from the Delphi method. We applied a series of questionnaires to a group of experts not only in different roles and skills, but also from various parts of Europe. Overall, 26 questions were formulated for 16 participants. The results showed that the users are satisfied with the capabilities and performance of the tool. The feedbacks were considered as recommendations for technical improvement and fed back into the software development cycle of the Data Curation Tool.<br />This work was performed in the framework of FAIR4Health project. FAIR4Health has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 824666.

Details

Database :
OpenAIRE
Journal :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Accession number :
edsair.dedup.wf.001..5f8385b5448300d334475aaf14ccf2ad