Data archiving after research

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