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. You’ll need to pay close attention to these instructions if you’re an author submitting to a journal with this policy.
Authors are required to make the data and materials supporting the results or analyses presented in their paper freely available. 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.
Data must be deposited in a recognized data repository that can mint a persistent digital identifier, such as a digital object identifier (DOI), and recognizes a long-term preservation plan.
We highly encourage researchers to consider the FAIR Data Principles when depositing data. We further advise researchers use FAIRsharing and re3data.org to search for a suitable repository – both provide a list of certified data repositories.
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, 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.|
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 understandable by humans and machine-readable.
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.
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.
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.