A Framework for Avoiding the Open Research Data Dump (AFFORD)
Description
The project A Framework for Avoiding the Open Research Data Dump (AFFORD) aims at designing a sustainable support framework to lower the barriers to publishing data and other research outputs in an accessible form by bundling know-how, workflows, and tools under the umbrella of one organizational entity. It is a collaboration between The Interface Group and the Center for Reproducible Science of the University of Zurich. It uses the Swiss National Science Foundation project 213535 “Fluid Dynamics of the Central Nervous System: 3D Functional Anatomy & Pathophysiology in Mouse Models” (https://data.snf.ch/grants/grant/213535) as reference, accompanying this multi-center research endeavour through the full cycle of generating Open Research Data (ORD), from experiment planning to publishing. This project-based, data-driven approach will help the framework reach a sufficient level of maturity before it is made available to all university researchers.
The project is led by Vartan Kurtcuoglu (The Interface Group, Department of Physiology, University of Zurich) and Leonhard Held (Center for Reproducible Science, University of Zurich)
Links to the project output:
| Resource | URL | Content |
| AFFORD Website |
Compiles all resources for Open Research Data generated in this project: tutorials, templates, code snippets, presentations, etc. It is regularly updated to incorporate new content that may be useful for researchers and/or data stewards. |
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| AFFORD Repos |
Gitlab repositories that can be reused and adapted for different purposes. For example, the affordable data index repository that produces a website with a data catalogue. |
|
| Peer-review publication |
Fraga-González, G., van de Wiel, H., Garassino, F. et al. Affording reusable data: recommendations for researchers from a data-intensive project. Sci Data 12, 258 (2025). https://doi.org/10.1038/s41597-025-04565-0 |
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| Portal (data catalogue) |
https://fabric4.ch |
Data portal resulting from the collaboration between AFFORD’s data stewardship and the SNSF reference project 213535 “Fluid Dynamics of the Central Nervous System: 3D Functional Anatomy & Pathophysiology in Mouse Models" |
| Preprint |
Gorka Fraga-González, Francesco Garassino, Hester van de Wiel, Willy Kuo, Diane de Julien de Zélicourt, Vartan Kurtcuoglu, Eva Furrer, and Leonhard Held. (2024, December 12). Where are my data? The AFFORD workflow to create your own data index with Git, R and Quarto. MetaArXiv. https://doi.org/10.31222/osf.io/64fch |
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| Preprint |
Hester van de Wiel, Francesco Garassino, Zhixuan Li, Gorka Fraga-González, Eva Furrer, & Leonhard Held (2024, December 23). Stakeholder Engagement for Sustainable Open Research Data Support Services: Insights from Interviews and Surveys in Switzerland. MetaArXiv. https://doi.org/10.31222/osf.io/3d5we |
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Files
AFFORD_project_description.pdf
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Additional details
Related works
- Is source of
- Publication: 10.1038/s41597-025-04565-0 (DOI)
- Publication: 10.31222/osf.io/64fch (DOI)
- Publication: 10.31222/osf.io/3d5we (DOI)
- Is supplemented by
- Software: https://crsuzh.pages.uzh.ch/AFFORD_website (URL)