|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.|
Publicly available data sharing policy
Information for authors
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.
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.