Role of a Croatian National Repository Infrastructure in Promotion and Support of Research Data Management

Scientific paper - Review paper

• Author: Kristina Posavec
• Author: Draženko Celjak https://orcid.org/0000-0002-0585-3390
• Author: Ljiljana Jertec Musap https://orcid.org/0000-0002-0059-9899
• Author's institution: University of Zagreb; (SRCE, University Computing Centre)
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences

Abstract (english)

The paper will give an overview of national infrastructure for digital repositories, Digital Academic Archives and Repositories (DABAR), and its role as technology steward in raising awareness about research data management (RDM) and promoting good practices in the Croatian A&R community. The University of Zagreb, University Computing Centre (SRCE) is providing national infrastructure DABAR suitable for storing and dissemination of different types of digital objects. Through DABAR, all Croatian higher education and research institutions can establish their digital repository. A strong collaboration between SRCEs DABAR team and institutions repository managers has proven to be important in the process of disseminating knowledge about research data management among researchers and the scientific community at large. The paper will provide information about this collaboration during the project RDA Europe 4.0 – The European plug-in to the global Research Data Alliance (RDA). The main goal of this collaboration is to raise awareness about the importance of managing and sharing research data.

• Keywords (english): repository; research data; datasets; RDM; data steward
• Language: english
• Publication type: Scientific paper - Review paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: Data Science Journal
• Numbering: vol. 19, no. 1, pp. 1-7, 48
• e-ISSN: 1683-1470
• DOI: https://doi.org/10.5334/dsj-2020-048
• URN:NBN: urn:nbn:hr:102:785732
• Publication: 2020-12-14
• Document URL: https://datascience.codata.org/articles/10.5334/dsj-2020-048/
• Type of resource: Text
• Access conditions: Open access
• Created on: 2022-01-18 11:30:15