About
Explore a comprehensive suite of digital learning resources designed to support researchers, students, and staff across the ETH Domain in implementing best practices for Research Data Management (RDM) and Open Research Data (ORD).
The learning modules allow to learn at one’s own pace, cover a wide range of topics essential for effective management throughout the research data lifecycle, and are available as Open Educational Resources (OER).
Key Features:
- Modules: Access on SwissMOOC the collection of 10, independent e-learning modules, designed to be completed in about 30 minutes each.
- Search and Filter: Use the filter below to quickly find resources (modules or learning material) tailored to your specific needs.
- Educational Resources: Explore learning content on the Community on Zenodo, and contribute to knowledge sharing.
Module Overview
This training offers comprehensive e-learning modules, designed to address key aspects of RDM and ORD, as well as to cater to various levels of familiarity with RDM and various research stages.
We are developing and releasing modules progressively, with the first one published in Feb. 2025. New modules, along with their respective OER, are added regularly. All modules are expected to be available by Dec. 2025.
E-Learning Modules
Data Documentation and Metadata
Data Organization and Management
Data Publishing and Long-Term Preservation
Open Research Data, Research Data Management, and FAIR
Data Storage, Backup and Versioning
Reproducibility and Code Management
Sensitive Data
Writing Data Management Plans
Data and Code Licenses
Open Formats and Code
Open Educational Resources
Filter
Topic
Institutions
Authors
Contributors
Abstract
Video animation integrated into the learning module Data Management Plan, part of the Data Management Campus initiative. The video shows a fictional case study of a research team revising their DMP and integrating it in their workflow.
Its length is of 2 minutes and 12 seconds, and it's available here for download, with CC-BY-4.0 license, in two formats: MP4 and WEBM. The Powtoon platform has been leveraged for its creation, and exported in these formats, by using the following codecs: H. 264 / AAC for MP4, and VP9 / Opus for WEBM.
Link
Topic
Institutions
Authors
Bretscher, Robin (Project manager); Gattlen, Estelle (Producer); Gebel, Jane (Producer); Reutemann, Jeanine (Project leader); Felder, Fabian ; Ulrich-Nath, MoushumiÂ
Contributors
Abstract
Link
Contributors and Acknowledgements
This project has been possible thanks to the invaluable contributions of numerous researchers, librarians, and other RDM / ORD experts:
- Authors of educational resources that form the basis of our training materials
- Contributors who provided additional training materials on RDM
- Testers who helped refine and enhance the RDM modules
- ETH Domain M3 Project Team that with its collaboration carried out this initiative
Their expertise and dedication have been instrumental in advancing open science practices and improving research data management across the ETH Domain.
We extend our heartfelt thanks to all contributors for their significant efforts in making this project a success.
Contributors and Test Users
- Adamopoulou, Despina, Empa
- Allan, James
, Empa
- Ammann, Markus
, PSI
- Bouffard, Damien
, Eawag
- Constantin, Lionel
, Empa
- Dürr, Simon
, EPFL
- Feldmann, Lukas, Empa
- Fonod, RobertÂ
, EPFL
- Gabrielli, Marco
, Eawag
- Giannouli, Eleftheria
, ETH Zurich
- Granata, Valeria
, EPFL
- Hilleke, Mattis, ETH Zurich
- Mavromatidis, Georgios
, Empa
- Milovancevic, Dragana
, EPFL
- Morgado, Joana F., Empa
- Nägelin, Mara, WSL
- Pal, Ranita, WSL
- Pizzi, Giovanni
PSI
- Ramirez, Rafael
, WSL
- Richter, Roland
, Empa
- Saglam, Setenay
, Empa
- Schiebroek, CarlÂ
, ETH Zurich
- Schultheiss, Marc-EdouardÂ
, EPFL
- 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
Project Members
- Bucher, AndresÂ
, ETH Zurich
- Felder, Fabian
, Lib4RI
- Ilnicka, AgnieszkaÂ
, ETH Zurich
- Lütcke, HenryÂ
, ETH Zurich
- Montano, AngelaÂ
, EPFL
- Seitz, Arne
, EPFL
- Schmid, FabianÂ
, ETH Zurich
- Matthias TöweÂ
, ETH Zurich
- Moushumi Ulrich-NathÂ
, Lib4RI
- Francesco Varrato
, EPFL
The ETH Domain Open Research Data (ORD) initiative offers a range of Open Educational Resources (OER) for Research Data Management (RDM) through our Zenodo community.
These resources support researchers, students, and RDM staff in implementing best practices for RDM and ORD. Available Resources:
- E-learning modules
- Practical guides
- Tutorials
- Instructional videos
- Exercises and quizzes
All materials are freely accessible and reusable under Creative Commons Attribution license CC-BY-4.0, promoting open science and collaboration within the ETH Domain and beyond.
You can explore the ETH Domain RDM Community here and contribute to its goals.
The ETH Domain Open Research Data (ORD) initiative offers 10 elearning modules to cover the basic and most recurrent advanced topics researchers need to tackle in RDM and ORD:
- Data Publishing and Long-Term Preservation
- Open Science and FAIR Data Principles
- Data Organization and Management
- Data Documentation and Metadata
- Licenses
- Data Storage, Backup, and Versioning
- Code Management and Reproducibility
- Sensitive Data Treatment
- Writing Useful Data Management Plans
- Open File Formats and Open-source Code
All modules can be accessed for free by logging in with a Switch edu-ID. The open and reusable educational material is pedagogical sequences that can be taken separately. Find all modules here.