Publikationen

Publikationen FAIR Data Austria

Projekt

  • Blumesberger, S., Gänsdorfer, N., Ganguly, R., Gergely, E., Gruber, A., Hasani-Mavriqi, I., Kalová, T., Ladurner, C., Macher, T., Miksa, T., Sanchéz Solís, B., Schranzhofer, H., Stork, C., Stryeck, S. und Thöricht, H. 2021. FAIR Data Austria – Aligning the Implementation of FAIR Tools and Services. Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 74, 2 (Nov. 2021). DOI: https://doi.org/10.31263/voebm.v74i2.6379.

Data Stewardship

Training

maDMPs (peer reviewed)

  • Whyte, Angus, & Herterich, Patricia. (2022, February 23). Leveraging machine-actionable DMPs to build RDM infrastructure. Zenodo. DOI: https://doi.org/10.5281/zenodo.6246271
  • Miksa, T., Rauber, A., & Oblasser, S. (2021). Automating Research Data Management Using Machine-Actionable Data Management Plans. ACM Transactions on Management Information Systems13(2), 1–22. https://doi.org/10.1145/3490396
  • Raffael Foidl, Lea Salome Brugger, and Tomasz Miksa. Automating Evaluation of Machine-Actionable Data Management Plans with Semantic Web Technologies. In DaMaLOS – 2nd Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2021. PUBLISSO, November 2021. DOI: https://dx.doi.org/10.4126/FRL01-006429413
  • Tomasz Miksa, Paul Walk, Peter Neish, Simon Oblasser, Hollydawn Murray, Tom Renner, Marie-Christine Jacquemot-Perbal, João Cardoso, Trond Kvamme, Maria Praetzellis, Marek Suchánek, Rob Hooft, Benjamin Faure, Hanne Moa, Adil Hasan, and Sarah Jones. Application profile for machine-actionable data management plans. CODATA Data Science Journal, 20(1):32, October 2021. DOI: https://doi.org/10.5334/dsj-2021-032
  • João Cardoso, Leyla Jael Castro, and Tomasz Miksa. Interconnecting Systems Using Machine-Actionable Data Management Plans Hackathon Report. CODATA Data Science Journal, 20, 2021. DOI: https://doi.org/10.5334/dsj-2021-035
  • Tomasz Miksa, Maroua Jaoua, and Ghaith Arfaoui. Research Object Crates and Machine-actionable Data Management Plans. In DaMaLOS – First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020. PUBLISSO, November 2020. DOI: https://dx.doi.org/10.4126/FRL01-006423291
  • Simon Oblasser, Tomasz Miksa, and Asanobu Kitamoto. Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges. International Journal of Digital Curation, 15(1), March 2020. DOI: https://doi.org/10.2218/ijdc.v15i1.704
  • João Cardoso, Leyla Jael Garcia Castro, Fajar Ekaputra, Marie-Christine Jacquemot-Perbal, Tomasz Miksa, and José Borbinha. Towards semantic representation of machine-actionable Data Management Plans. In DaMaLOS – First Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020. PUBLISSO, 2020. DOI: http://dx.doi.org/10.4126/FRL01-006423289

DB Repository

  • Martin Weise, Cornelia Michlits, Moritz Staudinger, Eva Gergely, Kirill Stytsenko, Raman Ganguly, Andreas Rauber.
    FDA-DBRepo: A Data Preservation Repository Supporting FAIR Principles, Data Versioning and Reproducible Queries
    In Proceedings of the International Conference on Digital Preservation (iPRES 2021), October 19-22 2021, Beijing, China.
    Paper session: DOI: https://doi.org/10.17605/OSF.IO/B7NX5
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