Sharing Research Data in Collaborative Material Science and Engineering Projects

Tim Opatz (), Kim Feldhoff, Hajo Wiemer and Steffen Ihlenfeldt
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Tim Opatz: Institute of Mechatronic Engineering (IMD), Technische Universität Dresden, 01069 Dresden, Germany
Kim Feldhoff: Institute of Mechatronic Engineering (IMD), Technische Universität Dresden, 01069 Dresden, Germany
Hajo Wiemer: Institute of Mechatronic Engineering (IMD), Technische Universität Dresden, 01069 Dresden, Germany
Steffen Ihlenfeldt: Institute of Mechatronic Engineering (IMD), Technische Universität Dresden, 01069 Dresden, Germany

Data, 2025, vol. 10, issue 4, 1-20

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.

Keywords: research data management; collaborative research project; research data infrastructure; data release process; data sharing; data releasing (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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