Data Center FAQs

Please note: this document is aimed at repository managers. There is also an Author FAQ sheet available on this site, it is possible your query is addressed there.

What is a Digital Object Identifier (DOI) and why should datasets have them?

A DOI is a system for persistently identifying and locating digital objects. Further explanation can be found at

DOIs provide a mechanism for citing data using a persistent identifier. Data is a first class research output and should be cited in the same way that as other sources of information, such as articles and books. Data citation can enable easy reuse and verification of data, allow the impact of data to be tracked and provide a structure for the recognition and attribution of data producers.

How do data centers fit in to the Geoscience Data Journal (GDJ) ecosystem?

GDJ primarily publishes Data Papers. These describe a dataset that is available in an approved data center, giving details of its collection, processing, file formats etc., but do not go into detail of any scientific analysis of the dataset or draw conclusions from that data. The papers should allow the reader to understand when, why and how the data was collected, and what the data is.

Data centres provide a trusted archive in which the data is stored and linked to persistently via a DOI.

What would my data center have to do to be approved by GDJ?

The primary requirement is to be able to mint DOIs.

Given that data publishing is an evolving field, we are keen to work with fellow stakeholders to promote data publishing and cross-linking (see for instance, the PREPARDE project). Consequently, we expect the process and requirements to develop over time, and to update this FAQ sheet accordingly.

How does my institution go about becoming approved?

If you are able to show you can mint DOIs then the main criteria has been addressed. Other than that, we are looking for evidence that the datasets are being lodged within a long-term sustainable repository, and that it will be possible to put in cross-links so that readers of either the dataset or the Data Paper can move from one site to the other.

Is the repository approval a lengthy process?

No, it should be reasonably straightforward. The key driver to approval is to have a primary contact within the data center with whom we can work.

Is there any support or guidance available from the journal? Whom do I contact to get my repository approved?

Yes. Several members of the Editorial Board have expertise in this area and will be willing to help with specific queries.
Please contact the journal at if you have any questions or would like to get your repository approved.

Once approved what then?

Once your data centre has been approved it will be listed on our approved list here (link). We also would like to work with you to ensure that all scientists depositing data in your centre are aware of the journal and the facility to submit a data paper. Please therefore provide us with contact details for a named member of staff with whom we can liaise to contact scientists who deposit and discuss link sharing.

Are there any licensing issues I need to be aware of?

Wiley does not claim any rights over datasets residing in repositories, and copyright on any article published by a Wiley Open Access journal is retained by the author(s) under the terms of the Creative Commons Attribution License (CC BY) which allows users to copy, distribute and transmit an article, adapt the article and make commercial use of the article. Having said this, in the interest of promoting the sharing and re-use of research data, we prefer that reviewers and readers are able to view and re-use the research data with the minimum of restrictions.

For more information visit the journal’s Open Access License and Copyright page.

What are the benefits of encouraging researchers to submit to GDJ?

The journal provides an Open Access platform where links to scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. Among other recent developments in this field, the recent Data Citation Index launch announcement by Thomson Reuters, together with increasing interest in data management and publication from funders, this will support researchers in their need to demonstrate the impact of their research whilst retaining appropriate academic credit for their work.

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