Understanding our data sharing policies
Are you submitting your paper to a Taylor & Francis journal, and is there a data set associated with your work?
From 2018, Taylor & Francis will be introducing new policies on data sharing. 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 explaining where others can access the data.
Check the Instructions for Authors for the journal you are submitting to, to find out what data policy applies (plus, check if your funder has a policy). The details below will help you get to grips with our new data sharing policies and the steps you’ll now need to take as an author. Find out more in our dedicated FAQs section.
Why share data?
Some funders now make data sharing a requirement (you can check using this handy Sherpa-Juliet tool), and it’s become increasingly commonplace for some subject areas to make data available to everyone. There are several benefits to sharing data:
- 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.
- Sharing data can lead to re-use and discovery, with greater opportunities for carrying out meta-analyses and the extraction of new knowledge.
- Depositing data in a repository that mints a permanent identifier such as a DOI, allows authors and others to cite the data set, allowing researchers to get appropriate credit for their work.
- Data deposition supports the preservation of data long term.
- Wider public availability of research data supports the translation of research into practice.
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
Read more about the benefits of sharing data here.
Taylor & Francis offers the following standardized data sharing policies across our journals:
- Basic – Journal encourages authors to share and make data open where this does not violate protection of human subjects or other valid subject privacy concerns. Authors are further encouraged to cite data and provide a data availability statement.
- Share upon reasonable request – Authors agree to make their data available upon reasonable request. It’s up to the author to determine whether a request is reasonable.
- Publicly available – Authors make their data freely available to the public, under a license of their choice.
- Open data – Authors must make their data freely available to the public, under a license allowing re-use by any third party for any lawful purpose. Data shall be findable and fully accessible.
- Open and fully FAIR (Findable, accessible, interoperable and re-usable) – Authors must make their data freely available to the public, under a license allowing re-use by any third party for any lawful purpose. Additionally, data shall meet with FAIR standards as established in the relevant subject area.
The diagram above shows the typical workflow of an author submitting a paper to a journal with the basic data sharing policy. You can also read a version of this workflow in Chinese. 日本語版のダウンロードはこちらから
You can find guidance on citing data here. There are numerous referencing styles available and each journal’s Instructions for Authors will include information on the recommended style – always check there before referencing data in your article.
Generally, all reference styles will include: a persistent identifier (e.g. DOI) where this is available, the location of the data and the name(s) of the individual(s) responsible for the creation of the data, and the tag “[dataset]”.
Taylor & Francis endorses the FORCE11 Joint Declaration of Data Citation Principles.