How to register and link your data set?

Data sets are valuable research output. A lot of work usually goes into creating a data set, and once complete, it can be of value to other researchers. WUR is proud of its data output and finds it important to make it visible. For this reason, the data policy stipulates that all archived data sets underlying publications must be registered in Pure.

What is Pure?
Pure is the research information system behind Research@WUR, WUR’s institutional repository. Pure contains information on all WUR employees and their research output, such as articles, reports, presentations and data sets. What is registered in Pure becomes visible in Research@WUR and to everyone.

Registering and linking your data set
The WUR data policy stipulates that all data sets underlying (a) publication(s) need to be registered in Pure. To have your data set registered in Pure, please send an email to the Data Desk with the persistent identifier (e.g. DOI, accession number) or link to your data set. To link your data set to the accompanying publication(s), we also need you to specify the publications involved and their links/DOIs. It is not required to register data sets that do not underlie publications, but it is recommended, because registering all your archived data sets improves the findability and visibility of your research. If you wish to register an unpublished data set (archived on the W-drive) send the pathway and links/DOIs of accompanying publication(s) to the Data Desk. Library staff will then ensure your research output is properly linked and visible in Research@WUR.

Registering and linking your source code
If you publish your source code through Git@WUR and want to have it linked to your appropriate publications, contact the Data Desk. If you wish to obtain a DOI for your source code, publish a version of your source code in a data repository. 4TU.ResearchData and Zenodo are suitable repositories for source code originating from Git@WUR or GitHub.