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Data Management Campus - open learning modules for researchers
Fabian Felder  1, *@  , Agnieszka Ilnicka  2@  , Henry Lütcke  2@  , Klara K. Nordén  1@  , Angela Montano Garcia  3@  , Francesco Varrato  3@  , Caterina Barillari  4@  , Andres Bucher  5@  , Julian Dederke  5@  , Chiara Gabella  3@  , Fabian Schmid  5@  , Matthias Töwe  5@  , Marinka Valkering-Sijsling  6@  
1 : Lib4RI - Library for the Research Institutes within the ETH Domain: Eawag, Empa, PSI & WSL  (Lib4RI)
Überlandstrasse 133 -  Switzerland
2 : Scientific IT Services, ETH Zürich
Scientific IT Services, ETH Zurich, 8092 Zurich, Switzerland -  Switzerland
3 : EPFL Library
EPFL Library, EPFL, 1015 Lausanne, Switzerland -  Switzerland
4 : Scientific IT Services, ETH Zürich
Scientific IT Services, ETH Zurich,4056 Basel, Switzerland -  Switzerland
5 : ETH Library, ETH Zurich  (ETH Library)
ETH Library, ETH Zurich, 8092 Zurich, Switzerland -  Switzerland
6 : Unit for Teaching and Learning, ETH Zürich
Unit for Teaching and Learning, ETH Zürich, 8092 Zürich, Switzerland -  Switzerland
* : Corresponding author

Open Research Data (ORD) and effective Research Data Management (RDM) are crucial components of Open Science, promoting scientific transparency, accessibility, and reproducibility. However, researchers often encounter barriers to adopting ORD and RDM practices, including unclear benefits, fear of data misuse, or lack of accessible training. The Data Management Campus, an initiative of the ETH Domain (Swiss Federal Institutes of Technology), addresses these challenges through learning modules tailored to researchers' needs and an Open Educational Resources (OER) approach that caters to trainers.

Grounded in comprehensive surveys, stakeholder consultations, and expert input, the modules are to be delivered as centralized, accurate, and practical online learning sequences (modules) on the Swiss MOOC Service, complemented by the underlying OER material via an associated Zenodo community. This paper outlines the Campus's development process, including needs assessment, content creation, platforms selection, and challenges in researcher engagement and long-term sustainability.


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