Applying the RDA Data Maturity Model on the Core Dataset of the German Medical Informatics Initiative

Michaelis L, Inau ET, Muzoora MR, Wodke JA, Ganslandt T, Thun S, Waltemath D (2025)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2025

Publisher: CEUR-WS

Series: CEUR Workshop Proceedings

Book Volume: 3890

Pages Range: 124-128

Conference Proceedings Title: Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2024)

Event location: Hybrid, Leiden NL

Abstract

The German Medical Informatics Initiative authored a modularised Core Dataset which enables the sharing of clinical routine data across German hospital sites. In this work, we apply the RDA Data Maturity Model to run a FAIR assessment on one module of the Core Dataset. We summarise the results of this assessment and present the lessons learnt. We anticipate that the assessment will help to design a FAIRification workflow for the Core Dataset and to estimate the overall resources required for that task.

Authors with CRIS profile

Thomas Ganslandt Professur für Medical Data Science

Involved external institutions

Universitätsmedizin Greifswald / Universitätsklinikum Greifswald DE Germany (DE) Berliner Institut für Gesundheitsforschung (BIH) DE Germany (DE)

How to cite

APA:

Michaelis, L., Inau, E.T., Muzoora, M.R., Wodke, J.A., Ganslandt, T., Thun, S., & Waltemath, D. (2024). Applying the RDA Data Maturity Model on the Core Dataset of the German Medical Informatics Initiative. In Marco Roos, Annika Jacobsen, Andrea Splendiani, M. Scott Marshall, Andra Waagmeester, Leyla Jael Garcia Castro, Katherine Wolstencroft, Kristina Hettne, Rutger Vos (Eds.), Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2024) (pp. 124-128). Hybrid, Leiden, NL: CEUR-WS.

MLA:

Michaelis, Lea, et al. "Applying the RDA Data Maturity Model on the Core Dataset of the German Medical Informatics Initiative." Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2024, Hybrid, Leiden Ed. Marco Roos, Annika Jacobsen, Andrea Splendiani, M. Scott Marshall, Andra Waagmeester, Leyla Jael Garcia Castro, Katherine Wolstencroft, Kristina Hettne, Rutger Vos, CEUR-WS, 2024. 124-128.

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