Research Data Management TU Graz
Published September 21, 2026 | Version v1
Poster Open

Promoting digital object sharing practices through data stewards

Authors/Creators

  • 1. ROR icon Graz University of Technology

Description

This poster is/was presented at Fellowship of the Data – International RDM Community Meeting 2026

Sharing of digital objects in research remains essential for scientific reproducibility and integrity[i]. Making research data available is increasingly recommended by funders and institutions[ii]. Still, there is a variety in types of research output including computational materials such as software artefacts, models and the associated documentation necessary for the reproducibility of scientific studies[iii],[iv]. Data stewards play a critical role in fostering related open science practices by promoting the formalized use of repositories for all types of digital research output. Thereby additional activities come into play, such as the support of project consortia through the methodical use of research data management tools, just as individual guidance, and – if applicable - the curation of records for archiving or publication.

 

Files

poster_DO-share_26-09.pdf

Files (500.7 kB)

Name Size Download all
md5:c7ab07c46fc9008e3f7ddbcd3851efdc
500.7 kB Preview Download

Additional details

Related works

Is published in
Conference proceeding: https://zenodo.org/communities/datafellows (URL)

References

  • [i] Hanson, B., Sugden, A., Alberts, B.: Making data maximally available. Science 331(6018), 649–649 (2011). https://doi.org/10.1126/science.1203354
  • [ii] Jean-Quartier, C., Kleinberger-Pierer, H., Zach, B., Hasani-Mavriqi, I., Pešec, L., & Schmikl-Reiter, C. (2024). Fostering Open Data Practices in Research-Performing Organizations. Publications, 12(2), 15. https://doi.org/10.3390/publications12020015
  • [iii] Jean-Quartier, C., Jeanquartier, F., Stryeck, S., Simon, J., Söser, B., & Hasani-Mavriqi, I. (2025). Sharing practices of software artefacts and source code for reproducible research. International Journal of Data Science and Analytics, 20(3), 2539-2550. https://doi.org/10.1007/s41060-024-00617-7
  • [iv] Jean-Quartier, C., Tscheppe, N., Millonig, S., Klambauer, L., Holzinger, A., Stryeck, S., & Jeanquartier, F. (2026). Reproducibility and Environmental Efficiency of Metabolomics Cancer Modeling. Applied Sciences, 16(2), 588. https://doi.org/10.3390/app16020588
  • [v] Robinson-Garcia, N., Mongeon, P., Jeng, W., Costas, R. (2017) DataCite as novel bibliometric source. Journal of Infometrics 11(3). https://doi.org/10.1016/j.joi.2017.07.003
  • [vi] De Smedt, K., Koureas, D., Wittenburg, P. (2020) FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units. Publications 8, 21. https://doi.org/10.3390/publications8020021
  • [vii] Wendelborn, C., Anger, M., & Schickhardt, C. (2023). What is data stewardship? Towards a comprehensive understanding. Journal of biomedical informatics, 140, 104337. https://doi.org/10.1016/j.jbi.2023.104337
  • [viii] Jean-Quartier, C., Reichmann, S., Rey Mazón, M.& Hasani-Mavriqi, I. (2026). From Data Citations towards effective Valorization and Tracking of Data Reuse. Graz University of Technology. https://doi.org/10.3217/ybv6h-m2837