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 Organisation and Management
Data Publishing and Long-Term Preservation
Open Science and FAIR Data Principles
Data Storage, Backup, and Versioning
Code Management and Reproducibility
Upcoming
Sensitive Data Treatment
Upcoming
Writing Useful Data Management Plans
Upcoming
Licenses
Upcoming
Open File Formats and Open-Source Code
Upcoming
Open Educational Resources
Filter
Topic
Institutions
Authors
Contributors
Abstract
Data Organization and Management
By the end of this module, participants will be able to:
- Â Understand the concept of data organization within the research data lifecycle
- Â Explain the importance of effective data organization for FAIR RDM
- Â Develop a file-and-folder organization scheme tailored to your research data
- Â Establish and implement consistent file and folder naming conventions
- Â Distinguish between different types of RDM systems and their applications
About
The ETH Domain Data Management Campus offers a comprehensive program of 10 modules designed to help researchers master Open Research Data and Research Data Management.
The modules are delivered through OpenLearnity, an open edX platform. The uploaded file contains the modules in the openEdX export format (.tar). Our aim is to make all content and materials accessible and adaptable for use on other platforms, so you can easily integrate these resources into your preferred learning environment.
Our modules are designed to be flexible, with no time limits or grading. Simply choose the topics that interest you most and learn how to implement best practices in Research Data Management and open publishing.
Link
Topic
Institutions
Authors
Contributors
Abstract
Data Storage, Backup and VersioningÂ
By the end of this module, participants will be able to:
- Define data storage, backup, and versioning concepts
- Identify the right storage for different data stages (active, transitioning, cold)
- Apply best practices for backing up data using the 3-2-1 rule
- Use versioning techniques to track and manage file changes
- Recognize risks and limitations of various storage setups
- Evaluate and adopt the tools supported by your ETH Domain institution
About
The ETH Domain Data Management Campus offers a comprehensive program of 10 modules designed to help researchers master Open Research Data and Research Data Management.
The modules are delivered through OpenLearnity, an open edX platform. The uploaded file contains the modules in the openEdX export format (.tar). Our aim is to make all content and materials accessible and adaptable for use on other platforms, so you can easily integrate these resources into your preferred learning environment.
Our modules are designed to be flexible, with no time limits or grading. Simply choose the topics that interest you most and learn how to implement best practices in Research Data Management and open publishing.
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.