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.
Upcoming
Data Publishing and Long-Term Preservation
Data Organization and Management
In Development
Open Science and FAIR Data Principles
In Development
Data Documentation and Metadata
Upcoming
Data Storage, Backup, and Versioning
Upcoming
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
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Abstract
- Differentiate data publication vs preservation
- Organize data for publication and preservation
- Identify the right repository for data
- Create persistent identifiers for datasets (e.g., DOI)
- Use data availability statements to make work more findable
- Identify the right license for data
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. These modules cover key topics such as preparing and publishing data in repositories, handling sensitive data, and using electronic notebooks.
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.
While the modules are delivered through the SwissMOOC Learning Management System, we aim to make all content and materials accessible and adaptable for use on other platforms. This way, you can integrate these valuable resources into your preferred learning environment.
Link
Topic
Institutions
Authors
Bretscher, Robin (Project manager); Gattlen, Estelle (Producer); Gebel, Jane (Producer); Reutemann, Jeanine (Project leader); Felder, Fabian 
;Â Ulrich-Nath, MoushumiÂ
Contributors
Abstract
Introduction animation video to Data Management Campus module on Data Publication and Preservation, published on SwissMOOC. The video is in mp4 format, accompanied by its underlying script, and all necessary assets to reproduce it with Adobe Premiere. Produced by the Data Management Campus team, the video has been created by the Media and Methods Lab of ETH Zürich.
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
- Ahmed Wael, EPFL
- Carl SchiebroekÂ
, ETH Zurich - Charlotte Weil , EPFL
- Clemens Wöllhaf, EPFL
- Damien Bouffard , Eawag
- Despina Adamopoulou, Empa
- Dragana Milovancevic , EPFL
- Eleftheria Giannouli , ETH Zurich
- Federica Tamburini , ETH Zurich
- Georgios Mavromatidis , Empa
- Giovanni Pizzi PSI
- Henry Wetton , ETH Zurich
- James Allan , Empa
- Joana F. Morgado, Empa
- Liliana Vargas , ETH Zurich
- Lionel Constantin , Empa
- Lukas Feldmann, Empa
- Mallory Wittwer, EPFL
- Mara Nägelin, WSL
- Marc-Edouard Schultheiss , EPFL
- Marco Gabrielli , Eawag
- Markus Ammann , PSI
- Mattis Hilleke, ETH Zurich
- Pascal Su, Empa
- Rafael Ramirez , WSL
- Ranita Pal, WSL
- Robert Fonod , EPFL
- Roland Richter , Empa
- Setenay Saglam , Empa
- Simon Dürr , EPFL
- Stefan Wehrli , ETH Zurich
- Thomas Weymuth , ETH Zurich
- Thomas Wüst , ETH Zurich
- Valeria Granata , EPFL
Project Members
- Agnieszka Ilnicka , ETH Zurich
- Andres Bucher , ETH Zurich
- Angela Montano , EPFL
- Arne Seitz , EPFL
- Fabian Felder , Lib4RI
- Fabian Schmid , ETH Zurich
- Francesco Varrato , EPFL
- Matthias Töwe , ETH Zurich
- Moushumi Ulrich-Nath , Lib4RI
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 the 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 persons affiliated to an ETH-Domain institution, via their Switch edu-ID. The open and reusable educational material is pedagogical sequences that can be taken separately. Find all modules here.
