Sharing Research Data in Collaborative Material Science and Engineering Projects

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

The objective of this paper was to examine the potential for the automated release of research data within the context of material science consortium projects, with adherence to the stipulated rules and contractual agreements, while also considering all relevant framework conditions, including those pertaining to protection and confidentiality. The investigation further aimed to explore the utilisation of the release process as a means for ensuring the quality of research data, employing an integrated review procedure. The study commenced with an examination of the regulations governing the sharing and reusing of research data, and the associated benefits. The fist phase of the study involved an evaluation of current release processes in common research data infrastructures. This was followed by the development of a methodological approach to the release of research data according to the needs of researcher in collaborative projects, such as automation of the release process, quality queries, reusability of data and more. The implementation of the main functions of this methodological approach was then undertaken in Kadi4Mat, an open-source research data infrastructure originally developed in the context of materials science. This implementation took the form of a prototypical and modular plugin.

Details

Original languageEnglish
Article number53
Number of pages20
Journal Data : open access ʻData in scienceʼ journal
Volume10
Issue number4
Publication statusPublished - 15 Apr 2025
Peer-reviewedYes

External IDs

ORCID /0000-0001-7540-4235/work/182334268
Scopus 105003450491
ORCID /0009-0009-9342-629X/work/193863853

Keywords

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Keywords

  • collaborative research project, research data infrastructure, data release process, research data management, data releasing, data sharing