Publishing, registering and linking your data set

Publishing research data in a data repository promotes data reuse, verifiability and increased research impact. The Data Librarian can help you publish your data sets in a data repository. Here you will find an overview of how to publish your data in a repository and the support the Data Librarian can provide.

Data publishing

Disciplines like bioinformatics have a long tradition of sharing and archiving their data through NCBIEBI, etc. Some groups (CGNISRIC) have a mandate to serve as a data repository for their discipline.

There are no WUR guidelines on which repository to use, but we can give some recommendations:

  • If a certain service is embedded in the submission workflow of a journal to which you want to submit your article, it may be convenient to choose that service.
  • If there is a disciplinary service for your field of research that can accommodate your data, that should be your first choice.
  • If there is no disciplinary service for your field, you can choose a multidisciplinary service, i.e. DANS-EASY, 4TU.ResearchData, Zenodo, Dryad, Figshare or Mendeley data.

The Data Desk can help you publish your data set(s) in the certificated data repositories DANS-EASY4TU.ResearchData and Zenodo. To publish your data set, the Data Librarian needs the following information:

  • The data files
    To ensure that the data can still be read and used over a long period of time, the data needs to be stored in a sustainable open format (see 'File formats').
  • A README file
    The README file is a document that accompanies the data set. It contains information (metadata) on the data set. The metadata is also added to the description of the data set in the archive. The README file also provides an explanation of the data set, making the data set understandable and reusable. A template and an explanation for making a README file is available.
  • The Metadata
    Metadata is used to make the description of the data set in the data repository, e.g. title, authors, keywords, etc. If not all the necessary metadata is incorporated in the README file, the Data Librarian will contact you for extra information. Good metadata enhances the findability of your data set.

If you choose to publish your data at DANS-EASY, 4TU.ResearchData or Zenodo, the data file preparation as well as storage is a free service offered to you by WUR Library. If you publish your data elsewhere, the Data Desk can advise you on data file preparation, but the final deposition of the data set will be done by you.

Registering and linking

Getting an unique identifier for your data set
When a data set is published in a data repository, a unique, persistent identifier (e.g. Digital Object Identifier (DOI), accession number) is usually assigned to it. Such an identifier will allow your data set to be cited. Journal publishers may require such a persistent identifier to make sure that the data is accessible. WUR Library has a subscription with Crossref to assign DOIs. If you need a unique persistent identifier for your project that you cannot get by storing your data in on one of the services that we mention on this webpage, contact the Data Desk

Registering and linking your data set
To have your data set registered in Pure, please send an email to the Data Desk with the persistent identifier (e.g. DOI) or link to your data set. To link your data set to the accompanying publications, we also need you to specify the publications involved. Library staff will then ensure your research output is properly linked and visible through Research@WUR.

Note: the WUR research data policy stipulates that all data sets underlying a publication must also be registered in Pure

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.

Costs of data publishing

Preparing the data for publishing
When you publish your data in DANS-EASY, 4TU.ResearchData or Zenodo, the Data Desk can assist you with preparing your data for publishing. Individual researchers aren't charged for this service. Adding appropriate metadata and giving advice on data documentation is part of the Service Level Agreement (SLA) WUR Library has with the Science Groups. If you want to publish your data in another data repository, the Data Desk can give you advice on preparing your files for data publishing free of charge. However, we will not actually prepare the data files for deposition.

Sustainable data storage
As a rule there is no cost if you publish data through us at DANS-EASY, 4TU.ResearchData or Zenodo. WUR Library has agreements with DANS and 4TU. In the exceptional case that there is a cost we will consult with you beforehand. The costs of storage in other data repositories will be for the research group's own account.