TU Darmstadt / ULB / TUprints

Modeling institutional research data repositories using the DCAT3 Data Catalog Vocabulary : A case study on TUdatalib

Geißner, Andreas (2023)
Modeling institutional research data repositories using the DCAT3 Data Catalog Vocabulary : A case study on TUdatalib.
Universitäts- und Landesbibliothek Darmstadt, 2023
doi: 10.26083/tuprints-00024288
Master Thesis, Secondary publication, Publisher's Version

[img] Text
BHR509_Geißner.pdf
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (1MB)
Item Type: Master Thesis
Type of entry: Secondary publication
Title: Modeling institutional research data repositories using the DCAT3 Data Catalog Vocabulary : A case study on TUdatalib
Language: English
Date: 12 December 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Place of primary publication: Berlin
Series: Berliner Handreichungen zur Bibliotheks- und Informationswissenschaft
Series Volume: 509
Collation: 99 Seiten
DOI: 10.26083/tuprints-00024288
Corresponding Links:
Origin: Secondary publication
Abstract:

Semantic Web and Linked Data technologies might solve issues originating from research data being published by independent providers. For maximum benefit from these technologies, metadata should be provided as standardized as possible. The Data Catalog Vocabulary (DCAT) is a W3C recommendation of potential value for Linked Data exposure of research data metadata.

The suitability of DCAT for institutional research data repositories was investigated using the TUdatalib repository as study case. A model for TUdatalib metadata was developed based on the analysis of selected resources and guided by a draft of DCAT 3. The model allowed for providing the essential information about the repository structure and contents indicating suitability of the vocabulary and, conceptually, should permit automated data conversion from the repository system to DCAT 3. A loss of expressiveness comes from the omission of dataset series. Conformance with DCAT 3 class definitions led to a highly complex model, thus creating challenges with actual technical realizations. A comparative study revealed simpler models to be used at two other repositories, but implementation of the TUdatalib or a similar model would have potential to improve alignment to DCAT specifications.

DCAT 3 was observed to be a promising option for Linked Data exposure of institutional research data repository metadata and the TUdatalib model might serve towards developing a general DCAT 3 application profile for institutional and other research data repositories.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-242883
Classification DDC: 000 Generalities, computers, information > 020 Library and information sciences
Divisions: Zentrale Einrichtungen > University and State Library Darmstadt (ULB)
Zentrale Einrichtungen > University and State Library Darmstadt (ULB) > Informationstechnologie, Forschung und Entwicklung
Date Deposited: 12 Dec 2023 13:12
Last Modified: 16 Jan 2024 12:55
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24288
PPN: 514020628
Export:
Actions (login required)
View Item View Item