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Sharing and Citing your Research Data

In the academic community there is an increased pressure on researchers to share and archive their data, with many funders now mandating data publication. The sharing of data enables others to reuse experimental results and supports the creation of new work built on previous findings, improving the efficiencies of the research process and supporting the critical goals of transparency and reproducibility.


At Wiley, we support the growing movement to make science more open, because this leads to a fairer, more efficient and accountable research landscape, which will ultimately drive a more effective and faster pace of discovery. We are committed to improving openness, transparency, and reproducibility of research. Fundamental to enabling reproducible research is the easy access to and ready discovery of its supporting data, made possible through a robust and universal framework that allows research data to be cited through standard reference lists. This will ensure that data is treated as a first-class research object, easily accessible as part of the scholarly literature, and that researchers are credited for their work.



Wiley is actively involved in contributing the research data community as an organizational member or signatory to the following initiatives:


Wiley’s Data Sharing Policies

Authors of articles published in Wiley journals are encouraged to share their research data including, but not limited to: raw data, processed data, software, algorithms, protocols, methods, materials.


The majority of Wiley’s journals enforce one of the following standardized data sharing policies:


Encourages Data Sharing

“[Journal] encourages authors to share the data and other artefacts supporting the results in the paper by archiving it in an appropriate public repository. Authors should include a data accessibility statement, including a link to the repository they have used, in order that this statement can be published alongside their paper.”


Expects Data Sharing

“[Journal] expects that data supporting the results in the paper will be archived in an appropriate public repository. Whenever possible the scripts and other artefacts used to generate the analyses presented in the paper should also be publicly archived. Exceptions may be granted at the discretion of the editor for sensitive information such as human subject data or the location of endangered species. Authors are expected to provide a data accessibility statement, including a link to the repository they have used, to accompany their paper."


Mandates Data Sharing

“[Journal] requires, as a condition for publication, that the data supporting the results in the paper will be archived in an appropriate public repository. Whenever possible the scripts and other artefacts used to generate the analyses presented in the paper should also be publicly archived. Exceptions may be granted at the discretion of the editor, especially for sensitive information such as human subject data or the location of endangered species. Authors will be required to provide a data accessibility statement, including a link to the repository they have used, for all accepted papers.”


See below for Wiley’s recommended methods of choosing an appropriate data repository for your research:


  • Visit our Author Compliance Tool to check the data sharing policy of your chosen journal and/or funder before submitting your work
  • Visit re3data.org or fairsharing.org to help identify registered and certified data repositories relevant to your subject area

Wiley’s Data Citation Policy

In recognition of the significance of data as an output of research effort, Wiley has endorsed the FORCE11 Data Citation Principles.


Wiley journals require data to be cited in the same way as article, book, and web citations and authors are required to include data citations as part of their reference list.


Data citation is appropriate for data held within institutional, subject focused, or more general data repositories. It is not intended to take the place of community standards such as in-line citation of GenBank accession codes.


When citing or making claims based on data, authors must refer to the data at the relevant place in the manuscript text and in addition provide a formal citation in the reference list. We recommend the format proposed by the Joint Declaration of Data Citation Principles:

[dataset] Authors; Year; Dataset title; Data repository or archive; Version (if any); Persistent identifier (e.g.DOI)


Add [dataset] immediately before the reference so we can properly identify it as a data reference. The [dataset] identifier will not appear in your published article.


Data Sharing and Citation Policies FAQs

  1. What research outputs are classified as data?
  2. Why should I share my research data?
  3. Where can I archive my data?
  4. What is a data accessibility statement?
  5. Why should I cite research data?
  6. How do I cite research data?
  7. What journals do these policies apply to?
  8. Is it mandatory to share my data for every article?
  9. Do the policies apply to sensitive or confidential data and/or data subject to third party restrictions?
  10. What are the copyright/license implications for sharing data?
  11. When should research data be shared?
  12. Will research data publically posted ahead of submission be considered prior publication?
  13. Are my data files subject to peer/editorial review?
  14. Can my manuscript be rejected on the basis of my data files?
  15. Will my manuscript be rejected if I do not submit data files?

What research outputs are classified as data?

Definitions of what research data is varies by discipline. 'Data' includes a research output that has been collected, observed or created for the purpose of analysis to produce the research results. Research data can include (but are not limited to): raw data, processed data, software, algorithms, protocols, methods, materials, photographs, specimens, etc. Generally, these policies apply to all research data that underlie and support the results documented in research articles. However, journals or communities might have more specific standards.


Why should I share my research data?

  1. Funders increasingly ask researchers to make their data publically available. According to SHERPA/JULIET, which tracks OA funders’ policies on data sharing, there are a growing number of funders who encourage it.
  2. Further, opening access to the world’s research data offers huge potential to improve the transparency of research, accelerate the pace of discovery, improve return on investment, and lead to a future in which more research can be independently verified or made reproducible.
  3. Wiley is committed to building and supporting connections between researchers and research communities, to improving the discoverability and reproducibility of research, and to encouraging openness and transparency in the exchange of knowledge and information.

Where can I archive my data?

Choosing where to publish your datasets can be problematic and time consuming. See below for Wiley’s recommended methods of choosing an appropriate data repository for your research:


  • Visit re3data.org or for extensive catalogues of registered and certified data repositories
  • Some funders have designated archives set up for researchers to deposit their data. Check our Author Compliance Tool to see your funder’s data sharing policy.

In general, research data should be submitted to discipline-specific, community-recognized repositories where possible, or to general-purpose repositories if no suitable community resource is available. If your funder or target journal do not have specific data repository recommendations, researchers from all disciplines can consider generalist repositories such as Dryad, figShare, or Zenodo.


What is a data accessibility statement?

Data accessibility statements provide information about where the research data and other artefacts supporting the results reported in the paper can be found. Where applicable, links to the repository where the dataset(s) are publicly archived are included. Wiley’s data sharing policies either recommend or require (depending upon policy) the inclusion of a data accessibility statement as part of the manuscript. Some funders require data accessibility statements be included in publications, authors must confirm any funder-specific requirements.


Why should I cite research data?

Wiley is implementing the FORCE 11 Joint Declaration of Data Citation Principles – this means that authors are required to include data citations as part of their reference list and Wiley journals require data to be cited in the same way as article, book, and web citations.


Assigning a persistent identifier to your research data enables other researchers to cite your data, as well your published research article. Formal citation in reference lists supports reproducibility, facilitates the tracking of data reuse, and may help recognize or credit individual’s contributions to research and the work put into collecting, managing, and archiving data.


How do I cite research data?

We recommend the format proposed by the Joint Declaration of Data Citation Principles:


[dataset] Authors; Year; Dataset title; Data repository or archive; Version (if any); Persistent identifier (e.g. DOI)


We have altered our production and publication systems to process data citations. By adding [dataset] before the reference, our systems will recognize the citation appropriately. This additional tag will not be visible within the reference list of the published article. Readers will therefore enjoy the same benefits as for article citations, including the ability to easily navigate to where the work was cited in the article and quickly access the referenced material via direct links.


What journals do these policies apply to?

Wiley is encouraging all journals to adopt one of the standard research data sharing policies. All Wiley journals are implementing the data citation policy. You can access the list of journals and the policies they support at the Author Compliance Tool.


Is it mandatory to share my data for every article?

The minimum requirement of all policy types is to encourage data sharing; only those journals that have adopted the strongest level of data sharing policy mandate data sharing for every article. And, all policy types recognize that some data (such as data about identifiable human research participants), can’t be openly shared. You can access the list of journals and the policies they support at the Author Compliance Tool.


Do the policies apply to sensitive or confidential data and/or data subject to third party restrictions?

Exceptions to policy and restrictions on data availability are granted for reasons associated with the protection of human privacy, issues such as biosafety, and/or to respect terms of use for data obtained under license from third parties. Confidential data, e.g., human subject or patient data, should always be anonymized, or permission to share should be obtained in advance. If in doubt, authors should seek counsel from their institution’s ethics committee.


What are the copyright/license implications for sharing data?

Where data are held in repositories, the choice of license will be determined by the terms of the repository. Some funders also have specific license requirements. Authors are responsible for reviewing the license agreements during submission.


Researchers should ideally decide how their research data is made available, but can only share data they are legally permitted to share or make public. In general, a license that enables the maximum potential for reuse, such as one of the Creative Commons licenses (CC-0, -BY, -BY-NC), is preferred. It is the responsibility of the author depositing data to confirm they have the necessary rights to submit data to a repository or journal.


When should research data be shared?

Authors are encouraged to make research data available as early as possible, in accordance with community practice and as required by funder and institutional policy. Practice varies by field, and embargoes on data sharing are common practice in some communities so, in the absence of funder mandate, the relevant community standards should prevail. Only the “mandates data sharing” policy requires data sharing as a condition for publication and requires data sharing upon acceptance by the journal – authors should confirm the policy of their target journal prior to submission.


Will research data publically posted ahead of submission be considered prior publication?

Wiley does not generally consider research data deposit as prior publication, however individual journal policies may vary and we recommend that researchers contact their chosen journal’s Editor if they are in doubt.


Are my data files subject to peer/editorial review?

If your data is available during peer review, it may be accessed by reviewers to help in their evaluation. Journal Editors likewise may use available data just as they would any other available resources.


Can my manuscript be rejected on the basis of my data files?

Conceivably, yes, if the reviewers and Editor(s) feel there are discrepancies between the data files (if checked) and the figures, tables, and graphs in your article.


Will my manuscript be rejected if I do not submit data files?

An Editor may choose to reject your manuscript if you are unwilling (rather than unable) to comply with the data sharing policy of the journal in question. View your chosen journal’s data policy information on our Author Compliance Tool.


Wiley’s Data Sharing Service

A number of Wiley journals participate in Wiley's Data Sharing Service, which enables you to automatically archive your data when submitting your article within the existing manuscript submission workflow. Wiley’s Data Sharing Service is currently available through a partnership with figshare. Once accepted for publication, data files will be transferred automatically and deposited to the figshare data repository, without charge or further work. For more information, please visit our Data Sharing Service FAQs page.