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Short CV

Martin is a PreDoc researcher at the Data Science Research Unit (DS-IFS) at the department of Information Systems Engineering at the Vienna University of Technology (TU Wien). His research interests cover a broad spectrum of secure data infrastructures, virtual research environments, FAIR data and research data repositories.

He is co-chair of the RDA Trusted Research Environments for Sensitive or Confidential Data working group and has published articles in refereed journals and papers at international conferences.

Martin received his MSc in Software Engineering & Internet Computing from TU Wien in 2022 and BSc in Software & Information Engineering from TU Wien in 2019.

Publication Highlights

  1. Weise, M., & Rauber, A. (2024). DBRepo: A Data Repository System for Research Data in Databases, in Proceedings of the 2024 IEEE International Conference on Big Data, pp. 322–331, December 15-18th (Washington DC, USA). DOI: 10.1109/bigdata62323.2024.10825401
  2. David, R., Rybina, A., Burel, J.-M., Heriche, J.-K., Audergon, P., et. al (2023). "Be Sustainable": Recommendations for FAIR Resources in Life Sciences research: EOSC-Life's Lessons. The EMBO Journal, pp. e115008. DOI: 10.15252/embj.2023115008
  3. Weise, M., Kovacevic, F., Popper, N., & Rauber, A. (2022). OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting. Data Science Journal, 21. DOI: 10.5334/dsj-2022-004

Project Highlights

  1. ARI&Snet, 2023-2026: Austrian Research Information & Service Network. As part of the project, an institutionalized national network for infrastructure for the coordination, planning and management of research facilities, services, research information and research data will be established. Taking into account national and international strategies and standards, ARI&Snet sustainably strengthens Austrian agendas in the field of digital research support and ensures the long-term operation of both existing and newly developed services.

  2. Shared RDM, 2023-2026: Shared RDM Services and Infrastructure. The goal of the project is to create a framework to offer selected tools and infrastructures in the field of FDM as shared services for selected Austrian universities and research institutions. This bundling of different expertise creates a sensible use of resources and promotes interoperability, standardization and the connection to international initiatives.

Teaching Highlights

  1. Data Stewardship VO, 2025
  2. Data Stewardship UE, 2025