Literature DB >> 34042716

openEHR Is FAIR-Enabling by Design.

Francesca Frexia1, Cecilia Mascia1, Luca Lianas1, Giovanni Delussu1, Alessandro Sulis1, Vittorio Meloni1, Mauro Del Rio1, Gianluigi Zanetti1.   

Abstract

The FAIR Principles are a set of recommendations that aim to underpin knowledge discovery and integration by making the research outcomes Findable, Accessible, Interoperable and Reusable. These guidelines encourage the accurate recording and exchange of data, coupled with contextual information about their creation, expressed in domain-specific standards and machine-readable formats. This paper analyses the potential support to FAIRness of the openEHR specifications and reference implementation, by theoretically assessing their compliance with each of the 15 FAIR principles. Our study highlights how the openEHR approach, thanks to its computable semantics-oriented design, is inherently FAIR-enabling and is a promising implementation strategy for creating FAIR-compliant Clinical Data Repositories (CDRs).

Keywords:  Archetypes; Data Integration; FAIR Principles; Information Models; Representation Standards; Semantic Interoperability; Semantics; openEHR

Mesh:

Year:  2021        PMID: 34042716     DOI: 10.3233/SHTI210131

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Semantic modelling of common data elements for rare disease registries, and a prototype workflow for their deployment over registry data.

Authors:  Rajaram Kaliyaperumal; Mark D Wilkinson; Pablo Alarcón Moreno; Nirupama Benis; Ronald Cornet; Bruna Dos Santos Vieira; Michel Dumontier; César Henrique Bernabé; Annika Jacobsen; Clémence M A Le Cornec; Mario Prieto Godoy; Núria Queralt-Rosinach; Leo J Schultze Kool; Morris A Swertz; Philip van Damme; K Joeri van der Velde; Nawel Lalout; Shuxin Zhang; Marco Roos
Journal:  J Biomed Semantics       Date:  2022-03-15
  1 in total

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