Abstract
The FAIRification of data facilitates a fast-paced, global, FAIR metadata availability across domains for the sustainable growth of public/private organizations. Likewise, in healthcare, the clinical labs aim to achieve FAIR (biosample) metadata by keeping patient-specific infectious disease records. However, the responsible evaluation of the FAIRification process of Dutch clinical lab metadata is lacking at the local and global levels. From a responsible data science perspective, we normatively (in-principle) and empirically (in-practice) evaluate the Dutch clinical lab metadata share against FACT principles. The normative evaluation involved content analysis of FAIR concerning peer-reviewed publications and official websites. The empirical evaluation comprised a documentation review of standardized (public/confidential) documents regarding the metadata share of Dutch clinical labs. The evaluations assisted us in formulating two REA models based on REA ontology. The first REA model depicts the clinical lab metadata production run at a local/national level. The second REA model specifies the work (flow) breakdown structure of global FAIRification for FHIR Netherland using linkage relationship against FACT principles. In-field (IT and REA ontology) experts further evaluated the REA models for functional and structural veracity. Furthermore, our evaluations verified the presence of an underlying privacy-utility tradeoff in FAIRification of clinical lab metadata where data utility is prioritized over data protection.
| Original language | English |
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| Title of host publication | VMBO 2022, Value Modelling and Business Ontologies 2022 |
| Subtitle of host publication | Proceedings of the 16th International Workshop on Value Modelling and Business Ontologies (VMBO 2022), held in conjunction with the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), June 06–10, 2022, Leuven, Belgium |
| Editors | Hans Weigand, Tiago Prince Sales, Paul Johanesson |
| Publisher | CEUR |
| Number of pages | 11 |
| Publication status | Published - 17 Jun 2022 |
| Event | 16th International Workshop on Value Modelling and Business Ontologies, VMBO 2022 - Maria-Theresiacollege, Leuven, Belgium Duration: 6 Jun 2022 → 6 Jun 2022 Conference number: 16 https://caise22.ugent.be/workshops-2/#VMBO |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR |
| Volume | 3155 |
| ISSN (Print) | 1613-0073 |
Workshop
| Workshop | 16th International Workshop on Value Modelling and Business Ontologies, VMBO 2022 |
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| Abbreviated title | VMBO |
| Country/Territory | Belgium |
| City | Leuven |
| Period | 6/06/22 → 6/06/22 |
| Other | The importance of modeling the essence of enterprises on a level that abstracts from operational details is increasingly recognized. Two established enterprise modeling approaches are value modeling and business ontology. Value modeling is a business modeling approach that focuses on the value objects exchanged in business networks. Business ontology provides abstract descriptions of enterprises in their business context, focusing on what is needed to create and transfer value. Research in these fields is conducted using instruments like the REA Ontology (Resources, Events, Agents), the Unified Foundational Ontology (UFO), the Business Model Canvas, the e3value toolset, the Value Delivery Modeling Language (VDML), and the Enterprise Engineering framework. The goal of the VMBO workshop series is two-fold. First, it aims to bring together researchers with an interest in value modeling and business ontology to present and discuss the current state of the art. Second, it aims to identify key areas for further research. |
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Keywords
- FAIRification
- Data protection
- Data utility
- Responsible Data Science
- Dutch clinical care
- FACT
- REA ontology