TU Wien Informatics

20 Years

Role

2024S

 

2023

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 (2020–2024)
  • 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)

2021

2020

  • 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
  • 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
  • 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

  • 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
  • RDA Austria - Abbauen Von Hindernissen Beim Teilen Von Daten / Miksa, T., Sánchez Solis, B., Rauber, A., Budroni, P., & Ganguly, R. (2019). RDA Austria - Abbauen Von Hindernissen Beim Teilen Von Daten. Die Mitteilungen Der Vereinigung Österreichischer Bibliothekarinnen Und Bibliothekare, 72(2), 365–372. https://doi.org/10.31263/voebm.v72i2.2833
  • 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
  • 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, Non-EU. http://hdl.handle.net/20.500.12708/87007
  • 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, Neatherlands, EU. https://doi.org/10.1109/escience.2019.00011

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