Tear down the walls! A guide to combining terminology services with NFDI services.
An overarching research data management across all domains is built upon metadata describing research data and their generation. In order to ensure that disciplines can create and share a common understanding of the concepts and relations used to describe data, we need terminologies as a formal representation of domain knowledge. The primary objective of TS4NFDI is to standardise and harmonise terminology services, establishing an interoperable and sustainable solution. TS4NFDI provides unified access to terminologies, and terminology mappings across all disciplines. TS4NFDI integrates or connects existing terminology services and, most importantly, reduces the efforts to integrate terminologies in any service or tool to manage research data. For this TS4NFDI provides a Terminology Service Suite (TSS) to provide a set of modular frontend functionalities via GUI widgets. These widgets can be incorporated into other web applications to provide semantic search functionality for data, or to facilitate data annotation in accordance with the FAIR principles.
Institutions
- University of Bonn (DE)
- University of Kaiserslautern (DE)
- Technische Informationsbibliothek (TIB) (DE)
- ZB MED - Information Centre for Life Sciences (DE)
- Verbundzentrale des GBV (DE)
- Institute of Informatics of the Slovak Academy of Sciences (SK)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-19
- DOI
- https://doi.org/10.5281/zenodo.16143554
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00