Training

About

The Data Management Campus offers a comprehensive suite of digital learning resources designed to support researchers, students, and staff across the ETH Domain in applying best practices in Research Data Management (RDM) and Open Research Data (ORD).

The learning modules are self-paced, cover essential topics across the research data lifecycle, and are designed to be relevant across disciplines and institutions within the ETH Domain. All modules are available as Open Educational Resources (OER) to encourage reuse and knowledge sharing.

Key Features

Access 10 self-paced modules on OpenLearnity (about 30 minutes each), and use the filters below to quickly find modules or learning materials that match your needs and stage of the research lifecycle.

Explore the ETH Domain Open Educational Resources for Research Data Management community on Zenodo to reuse or adapt the OER for workshops, onboarding, and local training initiatives – anyone can reuse and adapt the materials, and members of the ETH Domain are also welcome to contribute additional OER assets.

Data Management Campus

The Data Management Campus offers a set of comprehensive e-learning modules covering key aspects of Reseach Data Management (RDM) and Open Research Data (ORD). The modules are designed to support learners with different levels of familiarity with RDM and to align with various research stages.

All 10 modules are now available, together with their respective Open Educational Resources (OER).

Open Educational Resources

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Topic
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Institutions

Topic

Code Management, Data Organization, Data Publishing, Data Storage, FAIR Data Principles, Licenses, Long-Term Preservation, Open Science, Open Source Code, Sensitive Data

Institutions

EPFL

Authors

Contributors

Abstract

This training material is Module 5 of 5 of the training series by the EPFL Library Research Data team. It focuses on data and code publication, including why data and code should be treated as academic outputs, how to choose appropriate repositories, how to distinguish sharing from publication, how to use persistent identifiers and metadata to support FAIR and reusable outputs, and how to select suitable licenses for datasets and code. It also introduces practical publication workflows commonly used at EPFL, including Zenodo, the EPFL Zenodo community, the connection between Zenodo and GitHub, data journals, data availability statements, and key constraints related to privacy, third-party rights, commercialization, and potential valorization.

Designed for an instructor-led online or onsite workshop (~90 min, introductory level), it is published as an Open Educational Resource (OER). The package includes slides (.pptx and .odp with some speaker notes), a static .pdf export, a dataset for publication exercise (.csv) with its own README, and a README for this training module.

Here are the OER related to the five modules:
Module 1: Training "ABC of Research Data Management (RDM)"
Module 2: Training "Data Management Planning & Funding"
Module 3: Training "Data Organization & Storage Solutions"
Module 4: Training "Ethics in Research Data Management: Anonymization and Best Practices"
Module 5: Training "Data/Code Publication"

Link

Topic

Data Management Plan, Data Organization, Data Publishing, Data Storage, FAIR Data Principles, Long-Term Preservation, Open Science, Sensitive Data

Institutions

EPFL

Authors

Contributors

Abstract

This training material is Module 4 of 5 of the training series by the EPFL Library RDM team. It focuses on practical, ethics‑driven Research Data Management for projects involving personal or sensitive data, with a particular emphasis on concrete anonymization and pseudonymization practices, privacy‑preserving workflows, and day‑to‑day choices in handling such data. Participants are guided through identifying direct and indirect identifiers, designing data flows that minimise re‑identification risks, choosing appropriate tools for collection, storage and sharing, and preparing datasets for safe collaboration, archiving and publication. Brief overviews of relevant legal and institutional frameworks are provided only as a basis for understanding why and how these practical measures are needed, with EPFL ethics and legal experts contributing to the review and live discussion of these aspects.

Designed for an instructor-led online or onsite workshop (~90 min, introductory level), it is published as an Open Educational Resource (OER). The package includes slides (.pptx and .odp with some speaker notes), a static .pdf export, two datasets for exercises (.csv) with their own README, and a README for this training module.

Here are the OER related to the five modules:
Module 1: Training "ABC of Research Data Management (RDM)"
Module 2: Training "Data Management Planning & Funding"
Module 3: Training "Data Organization & Storage Solutions"
Module 4: Training "Ethics in Research Data Management: Anonymization and Best Practices"
Module 5: Training "Data/Code Publication"

Link

The Data Management Campus offers 10 independent e-learning modules hosted on OpenLearnity. Each module is designed to take 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 – you can start anywhere and choose only the topics that are 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 (available to learners outside the ETH Domain as well) unlocks additional features such as saving your progress, picking up where you left off, and accessing interactive activities (e.g., exercises/quizzes).

The ETH Domain ORD Program provides Open Educational Resources (OER) for RDM through the ETH Domain Open Educational Resources for Research Data Management community on Zenodo.

These resources support researchers, students, and RDM support staff in implementing best practices across the research data lifecycle. The community includes, for example:

  • Guides and tutorials
  • Videos
  • Exercises/quizzes
  • Exports from e-learning modules

Reuse and adapt (open to everyone): Materials can be reused and adapted for teaching, workshops, onboarding, and local training initiatives – within the ETH Domain and beyond.

Contribute (ETH Domain): Researchers and trainers within the ETH Domain are welcome to contribute additional OER assets, in line with the community’s curation policy.

Licensing: Materials are published under open licenses (the Data Management Campus modules are typically released under CC BY 4.0; please check the license shown on each Zenodo record). 

Contributors and Acknowledgements

This initiative was made possible thanks to the contributions of researchers, librarians, IT services, and other RDM/ORD experts. Contributions span the ETH Domain institutions (ETH Zurich, EPFL, Empa, PSI, WSL, Eawag) and partners.

Their expertise and feedback have been instrumental in strengthening research data management practices and supporting open science across the ETH Domain.

Contributors and Test Users

(Content input, review, and user testing – affiliation at time of contribution)

  • Abbas, Mohammad , Empa
  • Adamopoulou, Despina, Empa
  • Allan, James , Empa
  • Ammann, Markus , PSI
  • Bosch, Martí , EPFL 
  • 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 who developed and delivered 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 are shown as at the time of contribution and may have changed since.
Last updated: January 2026

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