FAIR4PGHD: A framework for FAIR implementation over PGHD

Authors

Abdullahi Abubakar Kawu, Technological University DublinFollow
Dympna O'Sullivan, Technological University DublinFollow
Lucy Hederman, Trinity College Dublin, Ireland
Mirjam van Reisen, Leiden University Medical Centre & Tilburg University School of Humanities and Digital Sciences, NetherlandsFollow

Author ORCID Identifier

https://orcid.org/0000-0003-2531-9539, https://orcid.org/0000-0003-2841-9738, https://orcid.org/0000-0001-6073-4063, https://orcid.org/0000-0003-0627-8014

Document Type

Article

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences

Publication Details

FAIR Connect 1 (2023) 35–40 IOS Press

Open access

https://content.iospress.com/articles/fair-connect/fc230500

Abstract

Patient Generated Health Data (PGHD) are being considered for integration with health facilities, however little is known about how such data can be made machine-actionable in a way that meets FAIR guidelines. This article proposes a 5-stage framework that can be used to achieve this.

DOI

https://doi.org/10.3233/FC-230500

Recommended Citation

Kawu, A.A., O’Sullivan, D., Hederman, L. and Van Reisen, M., 2023. FAIR4PGHD: A framework for FAIR implementation over PGHD. FAIR Connect, 1(1), pp.35-40. DOI: 10.3233/FC-230500

Funder

Science Foundation Ireland