Data Management Campus
The Data Management Campus offers a set of e-learning modules covering key aspects of Reseach Data Management (RDM) and Open Research Data (ORD). The modules are designed for learners with different levels of familiarity with RDM and address different stages of the research data lifecycle.
All 10 modules are available on OpenLearnity, together with their Open Educational Resources (OER) for reuse and adaptation.
E-Learning Modules
Open Educational Resources
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Qualitative Data Governance for Transdisciplinary and Participatory Research
The goal of this module is to rethink the data-sharing movement for Qualitative research in a Transdisciplinary (Td) and Participatory research context, looking beyond just the outcome to the entire project process. This includes early dialogue with societal partners and the ethical considerations needed for qualitative research.
In this module, participants will learn how to:
- Describe the relation between open science and Td research.
- Discuss why shared data governance is critical for Td research.
- Identify the ethical, practical, and epistemological challenges of applying standard Open Research Data (ORD) practices to qualitative data.
- Think about key questions related to data governance in your own research project (or those you oversee) and identify relevant resources for further guidance.
- Reflect on the different levels of data sharing to determine which are most appropriate for each kind of data in your project.
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The Data Management Campus offers 10 independent e-learning modules hosted on OpenLearnity. Each module takes about 30 minutes, can be completed at your own pace, and has no grading or time limits.
The modules do not follow a required sequence: start anywhere and choose the topics most relevant to you.
Modules available:
- Data and Code Licenses
- Data Documentation and Metadata
- Data Organization and Management
- Data Publishing and Long-Term Preservation
- Data Storage, Backup and Versioning
- Open Formats and Code
- Open Research Data, Research Data Management, and FAIR
- Reproducibility and Code Management
- Sensitive Data
- Writing Data Management Plans
Access: You can browse and view the modules without logging in. Logging in with a SWITCH edu-ID – also available to learners outside the ETH Domain – allows you to save your progress, resume where you left off, and access interactive activities such as exercises and quizzes.
The Data Management Campus provides a collection of Open Educational Resources (OER) through the ETH Domain Open Educational Resources for Research Data Management community on Zenodo.
The collection includes resources such as:
- Guides and tutorials
- Videos
- Exercises and quizzes
- Materials from the e-learning modules
Reuse and adapt:Â Anyone can reuse and adapt the materials for teaching, workshops, onboarding, and other training activities, within the ETH Domain and beyond.
Contribute: Researchers, trainers, and other RDM/ORD practitioners within the ETH Domain are welcome to contribute additional OER in line with the community’s curation policy.
Licensing: Materials are published under open licenses. Data Management Campus materials are typically released under CC BY 4.0; please check the license indicated on each Zenodo record.Â
Contributors and Acknowledgements
The Data Management Campus was made possible by contributions from researchers, librarians, IT services, and RDM/ORD experts across the ETH Domain.
Their expertise, feedback, and participation in testing helped shape and improve the learning resources.
Contributors and Test Users
Content development, review, and user testing – affiliation at time of contribution
- Abbas, Mohammad
, Empa - Adamopoulou, Despina, Empa
- Allan, James , Empa
- Ammann, Markus , PSI
- Bosch, Martà , EPFLÂ
- Bouffard, Damien , Eawag
- Cilingir, Gözde , WSL
- Constantin, Lionel , Empa
- Dürr, Simon , EPFL
- Eschmann, Quentin , EPFL
- Feldmann, Lukas , Empa
- Fonod, Robert , EPFL
- Franken, Robin , EPFL
- Gabrielli, Marco , Eawag
- Giannouli, Eleftheria , ETH Zurich
- Granata, Valeria , EPFL
- Hauser, Stefanie , Empa
- Hilleke, Mattis, ETH Zurich
- Lopes, Fábio , Empa
- Mavromatidis, Georgios , Empa
- Milovancevic, Dragana , EPFL
- Minotti, Carlo , PSI
- Morgado, Joana F., Empa
- Nägelin, Mara, WSL
- Pal, Ranita, WSL
- Pizzi, Giovanni PSI
- Ramirez, Rafael , WSL
- Richter, Roland , Empa
- Saglam, Setenay , Empa
- Schiebroek, Carl , ETH Zurich
- Schultheiss, Marc-Edouard , EPFL
- Siegwolf, Patrick , Empa
- Su, Pascal, Empa
- Tamburini, Federica , ETH Zurich
- Vargas, Liliana , ETH Zurich
- Wael, Ahmed, EPFL
- Wehrli, Stefan , ETH Zurich
- Weil, Charlotte , EPFL
- Wetton, Henry , ETH Zurich
- Weymuth, Thomas , ETH Zurich
- Wittwer, Mallory, EPFL
- Wöllhaf, Clemens, EPFL
- Wüst, Thomas , ETH Zurich
- Zade, Omkar , PSI
Project Team
Core team responsible for developing and delivering the initiative – affiliation at time of contribution
- Bucher, Andres , ETH Zurich
- Felder, Fabian , Lib4RI
- Ilnicka, Agnieszka , ETH Zurich
- Lütcke, Henry , ETH Zurich
- Marqués, Laura , ETH Zurich
- Montano, Angela , EPFL
- Seitz, Arne , EPFL
- Schmid, Fabian , ETH Zurich
- Töwe, Matthias , ETH Zurich
- Ulrich-Nath, Moushumi , Lib4RI
- Varrato, Francesco , EPFL
Affiliations reflect those at the time of contribution and may have changed since.
Last updated: October 2026