Metadata for Research Data

Time and Place: 2.2.2022, 10:00-11:30 AM, online

Target group: Researchers, Data Stewards, Research Support Staff

Language: English


Metadata and documentation of research data are key aspects of implementing the FAIR data principles. Metadata is information that describes an object and puts your research data into context. When used effectively, metadata help with (re)usability, discoverability, and storage of research results. What does this mean for your research practice and how can you describe your data? This webinar provides an introduction to the definition and use of metadata in research data management. We will cover FAIR research data as a resource and demonstrate strategies to efficiently discover scientific datasets. We will further learn about creating metadata in a data repository and conclude the session by discussing DMP use cases.


  • Welcome
  • Finding and Reusing Research Data – Jenny Ostrop (University of Bergen)
  • How to Describe Your Data – Christoph Ladurner (Graz University of Technology)
  • Metadata, Documentation and Data Management Plans – Elena Fürst and Tereza Kalová (University of Vienna, Vienna University Library)


Jenny Ostrop, University of Bergen. Jenny Ostrop is Senior Academic Librarian at the University of Bergen, Norway and has a life science research background. As part of the library research data team, she holds courses and provides guidance on information literacy, open science, and research data management.

Christoph Ladurner, TU Graz. Christoph Ladurner has been responsible for the repository at the TU Graz for 10 years now. He is active in international and national projects such as InvenioRDM, FAIR Data Austria and Open Education Austria Advanced.

Elena Fürst, University of Vienna. Elena Fürst works as a project manager for the FAIR Data Austria project. She is responsible for developing RDM training concepts and materials based on qualitative and quantitative studies and needs assessments. She is also part of the digitization project RIS Synergy, where she is involved in implementing standardized data interfaces and conducting a concept study for an Austrian national research portal.

Tereza Kalová, University of Vienna. Tereza Kalová works as a project manager for the FAIR Data Austria project, which develops innovative services and tools for research data management at Austrian research institutions, at the Vienna University Library. Her work focuses on the design of training courses on research data management. Further, she coordinates the development of a certificate course “Data Steward”.


Video recording and und presentation slides of the webinar „Metadata for Research Data“, 02.02.2022, University of Vienna:

About the event series

The event series “Research Data Management in Austria” is aimed at researchers and/or research support staff and serves to promote networking and exchange on the topic of research data management, writing a data management plan and similar related topics