Sharing Research Data in Collaborative Material Science and Engineering Projects

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.

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Publication Details

Journal
Data
Published
2025-04-15
DOI
https://doi.org/10.3390/data10040053
Citations
1
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
3.25

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article

Sharing Research Data in Collaborative Material Science and Engineering Projects

Hajo Wiemer, Steffen Ihlenfeldt, Kim Feldhoff, Tim Opatz
1 citations
Data
Research Data Management Practices
3.25
article

Sharing Research Data in Collaborative Material Science and Engineering Projects

Hajo Wiemer, Steffen Ihlenfeldt, Kim Feldhoff, Tim Opatz
article en
1 citations

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.

DataVol. 10(4)
Fraunhofer Institute for Machine Tools and Forming Technology (DE), Technische Universität Dresden (DE)
Australian Government, European Commission
Openalex Percentile: Top 10%
Research Data Management Practices
3.25
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