2024S

• Data Stewardship / 194.045 / UE
• Data Stewardship / 194.044 / VO
• Interdisciplinary Project in Data Science / 194.147 / PR

2023

• 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
• 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
• 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)

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)
• 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
• 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

• Precisely and persistently identifying and citing arbitrary subsets of dynamic data / Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., Flicker, K., Zettsu, K., Meixner, K., McIntosh, L., Jenkyns, R., Pröll, S., Miksa, T., & Parsons, M. A. (2021). Precisely and persistently identifying and citing arbitrary subsets of dynamic data. Harvard Data Science Review, 3(4). https://doi.org/10.1162/99608f92.be565013
• Enabling FAIR use of Ethnomusicology Data - Through Distributed Repositories, Linked Data and Music Information Retrieval / Hofmann, A., Miksa, T., Knees, P., Bakos, A., Sağlam, H., Ahmedaja, A., Yimwadsana, B., Chan, C., & Rauber, A. (2021). Enabling FAIR use of Ethnomusicology Data - Through Distributed Repositories, Linked Data and Music Information Retrieval. Empirical Musicology Review, 16(1), 47–64. https://doi.org/10.18061/emr.v16i1.7632
• Automating Research Data Management Using Machine-Actionable Data Management Plans / Miksa, T., Rauber, A., & Oblasser, S. (2021). Automating Research Data Management Using Machine-Actionable Data Management Plans. ACM Transactions on Management Information Systems, 13(2), 1–22. https://doi.org/10.1145/3490396
• WellFort: A Platform for Privacy-Preserving Data Analysis / Miksa, T., Sarcevic, T., Mayer, R., & Waltersdorfer, L. (2021). WellFort: A Platform for Privacy-Preserving Data Analysis. ERCIM News, 2021(126). http://hdl.handle.net/20.500.12708/138787
• FAIR Data Austria - Aligning the Implementation of FAIR Tools and Services / 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., & Thöricht, H. (2021). FAIR Data Austria - Aligning the Implementation of FAIR Tools and Services. Die Mitteilungen Der Vereinigung Österreichischer Bibliothekarinnen Und Bibliothekare, 74(2), 102–120. https://doi.org/10.31263/voebm.v74i2.6379
• Automating Evaluation of Machine-Actionable Data Management Plans with Semantic Web Technologies / Foidl, R., Brugger, L. S., & Miksa, T. (2021). 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 (p. 13). PUBLISSO. https://doi.org/10.4126/FRL01-006429413
• Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data / Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., Flicker, K., Zettsu, K., Meixner, K., McIntosh, L. D., Jenkyns, R., Pröll, S., Miksa, T., & Parsons, M. A. (2021). Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data. Harvard Data Science Review, 3(4). https://doi.org/10.1162/99608f92.be565013
  Project: CDL-SQI (2018–2024)
• Explainable cyber-physical energy systems based on knowledge graph / Aryan, P. R., Ekaputra, F. J., Sabou, M., Hauer, D., Mosshammer, R., Einfalt, A., Miksa, T., & Rauber, A. (2021). Explainable cyber-physical energy systems based on knowledge graph. In Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. ACM Digital Library. https://doi.org/10.1145/3470481.3472704
• The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities / Schramm, M., Pebesma, E., Milenković, M., Foresta, L., Dries, J., Jacob, A., Wagner, W., Mohr, M., Neteler, M., Kadunc, M., Miksa, T., Kempeneers, P., Verbesselt, J., Gößwein, B., Navacchi, C., Lippens, S., & Reiche, J. (2021). The openEO API-Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities. Remote Sensing, 13(6), 1125. https://doi.org/10.3390/rs13061125
• Application profile for machine-actionable data management plans / Miksa, T., Walk, P., Neish, P., Oblasser, S., Murray, H., Renner, T., Jacquemot-Perbal, M.-C., Cardoso, J., Kvamme, T., Praetzellis, M., Suchánek, M., Hooft, R., Faure, B., Moa, H., Hasan, A., & Jones, S. (2021). Application profile for machine-actionable data management plans. Data Science Journal, 20(1), 32. https://doi.org/10.5334/dsj-2021-032
• Interconnecting Systems Using Machine-Actionable Data Management Plans - Hackathon Report / Cardoso, J., Castro, L. J., & Miksa, T. (2021). Interconnecting Systems Using Machine-Actionable Data Management Plans - Hackathon Report. Data Science Journal, 20. https://doi.org/10.5334/dsj-2021-035

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

• 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
• 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
• 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

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

• RDA Europe workshop -- From planning to action.Towards the establishment of an Austrian research infrastructure / Miksa, T., Budroni, P., Ganguly, R., Rauber, A., & Sanchéz Solís, B. (2017). RDA Europe workshop -- From planning to action.Towards the establishment of an Austrian research infrastructure. Mitteilungen Der Vereinigung Österreichischer Bibliothekarinnen Und Bibliothekare, 70(3–4), 382–389. https://doi.org/10.31263/voebm.v70i3.1962
• Information integration for machine actionable data management plans / Miksa, T., Rauber, A., Ganguly, R., & Budroni, P. (2017). Information integration for machine actionable data management plans. International Journal of Digital Curation, 12(1), 22–35. https://doi.org/10.2218/ijdc.v12i1.529
• Using ontologies for verification and validation of workflow-based experiments / Miksa, T., & Rauber, A. (2017). Using ontologies for verification and validation of workflow-based experiments. Journal of Web Semantics, 43, 25–45. https://doi.org/10.1016/j.websem.2017.01.002
• Machine-actionable Data Management Plans (maDMPs) / Simms, S., Jones, S., Mietchen, D., & Miksa, T. (2017). Machine-actionable Data Management Plans (maDMPs). Research Ideas and Outcomes, 3, e13086. https://doi.org/10.3897/rio.3.e13086

2016

• Verification and validation of scientific workflow re-executions / Miksa, T. M. (2016). Verification and validation of scientific workflow re-executions [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.36295
  Download: PDF (6.02 MB)
• Identifying Impact of Software Dependencies on Replicability of Biomedical Workflows / Miksa, T., Rauber, A., & Mina, E. (2016). Identifying Impact of Software Dependencies on Replicability of Biomedical Workflows. Journal of Biomedical Informatics, 64, 232–254. https://doi.org/10.1016/j.jbi.2016.10.011

• Reproducible query processing in relational databases with evolving database schemas / Staudinger, M. (2023). Reproducible query processing in relational databases with evolving database schemas [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.101569
  Download: PDF (2.29 MB)
• Integrating RDM services using machine-actionable data management plans / Zoubek, F. (2023). Integrating RDM services using machine-actionable data management plans [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.101082
  Download: PDF (2.29 MB)
• Designing a data citation framework for RDF* stores / Kovacevic, F. (2021). Designing a data citation framework for RDF* stores [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.89424
  Download: PDF (3.12 MB)
• Designing an architecture for machine-actionable research data management planning in an institutional context / Oblasser, S. W. (2020). Designing an architecture for machine-actionable research data management planning in an institutional context [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.59642
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• Entwurf eines Frameworks zur Unterstützung von Reproduzierbarkeit für die openEO Plattform / Gößwein, B. (2019). Entwurf eines Frameworks zur Unterstützung von Reproduzierbarkeit für die openEO Plattform [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.56713
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• Designing research repositories using automated workflows and machine actionable data management plans / Bakos, A. (2017). Designing research repositories using automated workflows and machine actionable data management plans [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.45852
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