Archiving research data facilitates the re-use and verification of research results. By depositing a dataset in a data repository, it is not only protected against corruption and loss, but also becomes findable and citable via a DOI.
WUR policy stipulates that all datasets underlying a publication must be archived for at least 10 years. The following WUR-supported archiving solutions may be used:
|Open / Internal data*||Confidential / Secret data*|
|National Data Archives: DANS-EASY and 4TU Centre for Research Data||A data archive for secret data is in development. Until then, the W:-drive can be used.|
|Discipline-specific archive (WUR-approved)|
|Journal-associated archive (WUR-approved)|
* Definitions of confidentiality class can be found here.
What is a dataset?
A dataset is a set of files containing research data and documentation sufficient to make the data re-useable.
What should a dataset include?
A dataset should comprise all files and documentation necessary to verify and/or reproduce the research. This includes:
- All data files (raw data, processed data, code etc.) used in the data collection, processing and analysis. Files that are irrelevant to verification and/or reproduction or that are too large for archiving can be excluded.
- Sufficient documentation to understand the production, provenance, processing, interpretation and relationships between the data files.
More information: Publishing your dataset in a repository