Taylor & Francis will be introducing a set of new policies on data sharing from 2018.
The basic data sharing policy, which applies across many of our journals, encourages authors to deposit data in a suitable repository, cite it, and include a data availability statement stating where others can access the data.
What does this mean in practical terms for your journal?
On titles where this policy is applied, authors can expect to be asked during the submission process whether there is a data set associated with the paper. If they reply “yes”, they will be asked to provide the DOI, reserved DOI or other persistent identifier. If authors indicate there is a data set associated with the paper, they are further encouraged to cite that data set and to include a data availability statement.
Editors should simply be aware that they might begin seeing these elements in submissions. At present, formal peer review does not extend to the data set; however, a reviewer might be interested in viewing the data, in which case they can reach out to the editor and ask for a link to it. Authors should be prepared to share a reviewer link if they have one. If your journal applies a double-blind peer review process, the link will only be shared if the repository can blind the author identity. We do not expect many reviewers to request this initially, but will be monitoring this during 2018 to determine how to handle such requests efficiently.
The Instructions for Authors pages on Taylor & Francis Online will be updated to reflect this new policy, and will inform authors on the steps they need to follow before submitting papers to your journal.
- Interested in adopting a more progressive data sharing policy? Contact your Managing Editor.
- Have you received any questions from your authors? Please refer them to our FAQs.
Why have we adopted these policies?
Sharing data publicly improves the robustness of the research process, supporting validation, research transparency, reproducibility and replicability of results. This can, in turn, advance discovery and knowledge. Here’s one journal editor’s view on why data sharing is so important:
“In general, authors should consider data sharing as an opportunity to connect a reader of that single study to the larger research agenda. If data are published on a project that also directs readers to a main page where other study data sets are kept, the research can have even greater impact.” – Jon E. Grahe, Editor of The Journal of Social Psychology
How can I find out more?
Visit our Author Services site for detailed information on our policies, and discover how data sharing can benefit you, your authors and your research community.
If you have any questions about our basic data sharing policy, or would like to discuss the possibility of adopting a more progressive policy on your journal, please contact your Managing Editor.