TU Wien Informatics

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Tomasz Miksa

Dr.techn.

Tomasz Miksa

Role

Contact

2025S

 

2025

2024

2023

  • Data Stewardship – Österreichische Nationale Strategie und Umsetzung / Bardel, A., Hasani-Mavriqi, I., Jean-Quartier, C., Schaffer, P., Macher, T., Kalová, T., Feichtinger, M., Bargmann, M., Sanchez Solis, B., Stork, C., Miksa, T., & Piroi, F. (2023). Data Stewardship – Österreichische Nationale Strategie und Umsetzung. Zeitschrift Für Hochschulentwicklung, 18(Sonderheft Forschung), 65–88. https://doi.org/10.21240/zfhe/SH-F/05
  • Repository Infrastructure Supporting Virtual Research Environments / Weise, M., Miksa, T., Grantner, T., Taha, J., Moser, M., Tsepelakis, S., Sanchez Solis, B., & Rauber, A. (2023, October 24). Repository Infrastructure Supporting Virtual Research Environments [Poster Presentation]. International Data Week 2023, Salzburg, Austria. https://doi.org/10.34726/5143
    Downloads: Full-text version (345 KB) / Poster, A1 (1.61 MB)
  • Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data / Staudinger, M., Hajszan, T., Miksa, T., Himmelbauer, I., Aberer, D., Rauber, A., & Dorigo, W. (2023). Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data. In 2023 IEEE 19th International Conference on e-Science (pp. 1–10). IEEE. https://doi.org/10.1109/e-Science58273.2023.10254929
  • Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Karampatakis, S., Miksa, T., & Käfer, G. (2023). Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction. In The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings (pp. 609–624). https://doi.org/10.1007/978-3-031-33455-9_36
    Project: OBARIS (2020–2022)
  • Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans / Miksa, T., Suchánek, M., Slifka, J., Knaisl, V., Ekaputra, F. J., Kovacevic, F., Ningtyas, A. M., El-Ebshihy, A. M., & Pergl, R. (2023). Towards a Toolbox for Automated Assessment of Machine-Actionable Data Management Plans. Data Science Journal, 22, Article 28. https://doi.org/10.5334/dsj-2023-028

2022

  • Towards A Data Repository for Educational Factories / Ekaputra, F. J., Weise, M., Flicker, K., bin Salleh, Mohd. R., Abd Rahman, Md. N., Muhamad Azwan, A. R., Miksa, T., & Rauber, A. (2022, November 2). Towards A Data Repository for Educational Factories [Conference Presentation]. 8th International Conference on Data and Software Engineering (ICoDSE 2022), Denpasar, Bali, Indonesia. https://doi.org/10.34726/2944
    Download: Presentation, 25 slides (1.23 MB)
  • The Sentinel-1 Global Backscatter Model extension over the polar zones and sea ice regions. / Bauer-Marschallinger, B., Cao, S., Wagner, W., Navacchi, C., Reuß, F. D., Miksa, T., Clark, T., & Geudtner, T. (2022, May 23). The Sentinel-1 Global Backscatter Model extension over the polar zones and sea ice regions. [Poster Presentation]. ESA Living Planet Symposium 2022, Bonn, Germany.
  • DCSO: towards an ontology for machine-actionable data management plans / Cardoso, J., Castro, L. J., Ekaputra, F. J., Jacquemot-Perbal, M.-C., Suchánek, M., Miksa, T., & Borbinha, J. (2022). DCSO: towards an ontology for machine-actionable data management plans. Journal of Biomedical Semantics, 13, Article 21. https://doi.org/10.1186/s13326-022-00274-4
    Download: Article (2.65 MB)
    Projects: OBARIS (2020–2022) / SPFBT (2020–2026)
  • A Lifecycle Framework for Semantic Web Machine Learning Systems / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Miksa, T., & Sabou, M. (2022). A Lifecycle Framework for Semantic Web Machine Learning Systems. In Database and Expert Systems Applications - DEXA 2022 Workshops (pp. 359–368). https://doi.org/10.1007/978-3-031-14343-4_33
    Project: OBARIS (2020–2022)
  • Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis / Ekaputra, F. J., Ekelhart, A., Mayer, R., Miksa, T., Šarčević, T., Tsepelakis, S., & Waltersdorfer, L. (2022). Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis. Semantic Web: Interoperability, Usability, Applicability, 1–34. https://doi.org/10.3233/sw-212883

2021

2020

  • Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges / Oblasser, S., Miksa, T., & Kitamoto, A. (2020). Finding a Repository with the Help of Machine-Actionable DMPs: Opportunities and Challenges. International Journal of Digital Curation, 15(1), 12. https://doi.org/10.2218/ijdc.v15i1.704
  • Data Management Planning: How Requirements and Solutions are Beginning to Converge / Jones, S., Pergl, R., Hooft, R., Miksa, T., Samors, R., Ungvari, J., Davis, R. I., & Lee, T. (2020). Data Management Planning: How Requirements and Solutions are Beginning to Converge. International Journal of Big Data Intelligence, 2(1–2), 208–219. https://doi.org/10.1162/dint_a_00043
  • Research Object Crates and Machine-actionable Data Management Plans / Miksa, T., Jaoua, M., & Arfaoui, G. (2020). Research Object Crates and Machine-actionable Data Management Plans. In DaMaLOS - 1st Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020 (p. 10). PUBLISSO. https://doi.org/10.4126/FRL01-006423291
  • Towards semantic representation of machine-actionable Data Management Plans / Cardoso, J., Garcia Castro, L. J., Ekaputra, F. J., Jacquemot-Perbal, M.-C., Miksa, T., & Borbinha, J. (2020). Towards semantic representation of machine-actionable Data Management Plans. In DaMaLOS - 1st Workshop on Data and Research Objects Management for Linked Open Science : Co-located at the International Semantic Web Conference ISWC 2020 (p. 9). PUBLISSO. https://doi.org/10.4126/FRL01-006423289
  • Simulation Support for Explainable Cyber-Physical Energy Systems / Aryan, P. R., Ekaputra, F. J., Sabou, M., Hauer, D., Mosshammer, R., Einfalt, A., Miksa, T., & Rauber, A. (2020). Simulation Support for Explainable Cyber-Physical Energy Systems. In 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. IEEE. https://doi.org/10.1109/mscpes49613.2020.9133700

2019

  • RDA Austria - Abbauen Von Hindernissen Beim Teilen Von Daten / Miksa, T., Sanchez Solis, B., Rauber, A., Budroni, P., & Ganguly, R. (2019). RDA Austria - Abbauen Von Hindernissen Beim Teilen Von Daten. Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare (VÖB), 72(2), 365–372. https://doi.org/10.31263/voebm.v72i2.2833
  • Data Identification and Process Monitoring for Reproducible Earth Observation Research / Gößwein, B., Miksa, T., Rauber, A., & Wagner, W. (2019). Data Identification and Process Monitoring for Reproducible Earth Observation Research. In 2019 15th International Conference on eScience (eScience). eScience Symposium 2019: Digital Challenges in Open Science, Amsterdam, Netherlands (the). https://doi.org/10.1109/escience.2019.00011
  • Towards an alliance for distributed music data? / Sağlam, H., Hofmann, A., Ahmedaja, A., Miksa, T., & Knees, P. (2019). Towards an alliance for distributed music data? 45th International Council for Traditional Music World Conference, Bangkok, Thailand. http://hdl.handle.net/20.500.12708/87007
  • openEO - A standardised connection to and between Earth observation service providers / Schramm, M., Pebesma, E., Wagner, W., Verbesselt, J., Dries, J., Briese, C., Jakob, A., Mohr, M., Neteler, M., Mistelbauer, T., Miksa, T., Gebbert, S., Gößwein, B., Kadunc, M., Kempeneers, P., & Gorelick, N. (2019). openEO - A standardised connection to and between Earth observation service providers. In S. Albani, S. Loekken, & P. Soille (Eds.), Proceedings of 2019 Big Data from Space (BiDS’19) (pp. 229–232). Publications Office of the European Union. https://doi.org/10.2760/848593
  • Setting up Open Access Repositories : Challenges and Lessons from Palestine / Awadallah, R., ALAgha, I., Miksa, T., Rauber, A., Davidson, J., Yahya, A., Tammaro, A. M., Caselli, S., Anderson, J., Anderson, D., Salman, N., & Abuzir, Y. (2019). Setting up Open Access Repositories : Challenges and Lessons from Palestine. In 16th International Conference on Digital Preservation, iPRES 2019 (p. 11). International Conference on Digital Preservation. http://hdl.handle.net/20.500.12708/58784
  • Ten Principles for Machine-actionable Data Management Plans / Miksa, T., Simms, S., Mietchen, D., & Jones, S. (2019). Ten Principles for Machine-actionable Data Management Plans. PLoS Computational Biology, 15(3), e1006750. https://doi.org/10.1371/journal.pcbi.1006750

2018

  • Defining Requirements for Machine-actionable Data Management Plans / Miksa, T., Neish, P., Rauber, A., & Walk, P. (2018). Defining Requirements for Machine-actionable Data Management Plans. In M. Potterbusch, N. McGovern, A. Whiteside, C. Mumma, E. Verbruggen, J. Meyerson, B. Lyons, N. Pang, S. Schaefer, J. Weatherburn, M. Pennock, M. Lindlar, & T. Patterson (Eds.), 15th International Conference on Digital Preservation, iPRES 2018. International Conference on Digital Preservation. https://doi.org/10.17605/OSF.IO/CGP86
  • A Landscape Survey of ActiveDMPs / Simms, S., Jones, S., Miksa, T., Mietchen, D., Simons, N., & Unsworth, K. (2018). A Landscape Survey of ActiveDMPs. International Journal of Digital Curation, 13(1), 204–214. https://doi.org/10.2218/ijdc.v13i1.629
  • Debunking Active Data Management Plans / Cardoso, J., Miksa, T., & Borbinha, J. (2018). Debunking Active Data Management Plans. In 2018 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data. https://doi.org/10.1109/bigdata.2018.8621860
  • Framing the scope of the common data model for machine-actionable Data Management Plans / Miksa, T., Cardoso, J., & Borbinha, J. (2018). Framing the scope of the common data model for machine-actionable Data Management Plans. In 2018 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data. https://doi.org/10.1109/bigdata.2018.8622618

2017

2016

2014

  • Risk Driven Selection of Preservation Activities for Increasing Sustainability of Open Source Systems and Workflows / Miksa, T., Mayer, R., Strodl, S., Rauber, A., Vieira, R., & Antunes, G. (2014). Risk Driven Selection of Preservation Activities for Increasing Sustainability of Open Source Systems and Workflows. In Proceedings of the 11th International Conference on Digital Preservation. International Conference on Digital Preservation, Melbourne, Australia, Non-EU. http://hdl.handle.net/20.500.12708/55958
  • Resilient Web Services for Timeless Business Processes / Miksa, T., & Rauber, A. (2014). Resilient Web Services for Timeless Business Processes. In International Conference on Information Integration and Web-based Applications and Services. The 16th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2014), Hanoi, Vietnam, Non-EU. ACM. http://hdl.handle.net/20.500.12708/55955
  • Process Management Plans / Miksa, T., Strodl, S., & Rauber, A. (2014). Process Management Plans. International Journal of Digital Curation, 9(1), 83–97. http://hdl.handle.net/20.500.12708/157878
  • Ontologies for Describing the Context of Scientific Experiment Processes / Mayer, R., Miksa, T., & Rauber, A. (2014). Ontologies for Describing the Context of Scientific Experiment Processes. In Proceedings of the 10th International Conference on e-Science. International Conference on e-Science, Guarujá, SP, Brazil, Non-EU. http://hdl.handle.net/20.500.12708/55978

2013

  • Framework for verification of preserved and redeployed processes / Miksa, T., Rauber, A., Mayer, R., Pröll, S., Strodl, S., Vieira, R., & Barateiro, J. (2013). Framework for verification of preserved and redeployed processes. In iPRES 2013 - 10th International Conference on Preservation of Digital Objects (pp. 136–145). Biblioteca Nacional de Portugal. http://hdl.handle.net/20.500.12708/54995