Publicly available data sharing policy - Author Services

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Publicly available data sharing policy

Information for authors

Many Taylor & Francis journals have policies on data sharing which state how data associated with your article should be shared.

The following describes our publicly available data sharing policy. Publicly available datasets are accessible by anyone, anywhere. For example, they may be available at a library or by searching online. 

You’ll need to pay close attention to these instructions if you’re an author submitting to a journal with this policy.

About this policy

Depositing data

Data availability statement (DAS)

Data citation

Submission

Peer review

Support

Publicly available policy infographic

About this policy

Authors are required to make the data and materials supporting the results or analyses presented in their research paper publicly available information. Authors may, however, choose to apply a licence that limits re-use.

Please note that data should only be shared if it is ethically correct to do so, where this does not violate the protection of human subjects, or other valid ethical, privacy, or security concerns.

Depositing data

Data must be deposited in a recognized data repository. It must be able to mint, that is to create and assign, a persistent digital identifier. For example, a digital object identifier (DOI). The repository must also be able to recognise a long-term preservation plan.

We highly encourage researchers to consider the FAIR Data Principles when depositing data. We further advise researchers to use FAIRsharing and re3data.org to search for a suitable repository – both provide a list of certified data repositories.

Data availability statement (DAS)

Authors are required to provide a data availability statement, detailing where data associated with a paper can be found and how it can be accessed. The DAS should be submitted within the article manuscript, before the ‘References’ section. If data cannot be made open access, authors should state why in the data availability statement.

The table below contains some template statements which comply with our publicly available data sharing policy. This is not an exhaustive list however, and an individual data set might warrant a different type of statement.

Availability of data Template for data availability statement
Data available in a public repository that issues datasets with DOIs The data that support the findings of this study are available in [repository name e.g “figshare” at http://doi.org/[doi], reference number [reference number].
Data available in a public repository that does not issue DOIs The data that support the findings of this study are available in [repository name] [check finder tool] at [URL], reference number [reference number].
Data derived from public domain resources The data that support the findings of this study are available in [repository name] at [URL/DOI], reference number [reference number]. These data were derived from the following resources available in the public domain: [list resources and URLs]
Data sharing not applicable – no new data generated Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Data not available due to [ethical/legal/commercial] restrictions Due to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data is not available.

Find out more about data availability statements.

Data citation

Taylor & Francis supports the Force 11 Joint Declaration of Citation Principles, which recognize data as important, citable products of research, and that data citations should be both readable by humans and machines.

Authors are expected to cite any datasets in the body of the article, with a corresponding reference in the reference list. Please refer to our data citation best practice.

Submission

At the point of submission, you will be asked to provide the DOI, pre-registered DOI, hyperlink, or other persistent identifier associated with the data set(s). If you have selected to provide a pre-registered DOI, please be prepared to share the reviewer URL associated with your data deposit, upon request by reviewers.

Peer review

It is the author’s responsibility to ensure the soundness of any data. Any errors in the data rest solely with the producers of the dataset(s). Peer reviewers and editors will be considering a manuscript’s data availability statement and whether the authors have complied with the journal’s data sharing policy.

Support

If you need support with this policy, please refer to our data sharing FAQs or email [email protected].

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