2024S

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

• OS Trails
  2024 – 2027 / European Commission

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
• 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
• 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
• 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
• 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
• 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 / Budroni, P., Ganguly, R., Miksa, T., Rauber, A., & Sanchez Solis, 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

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

• 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
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• 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
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• 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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