RESEARCH DATA POLICY
A submission to the journal implies that materials described in the manuscript, including all relevant raw data, will be freely available to any researcher wishing to use them for non-commercial purposes, without breaching participant confidentiality.
The journal strongly encourages that all datasets on which the conclusions of the paper rely should be available to readers. We encourage authors to ensure that their datasets are either deposited in publicly available repositories (where available and appropriate) or presented in the main manuscript or additional supporting files whenever possible. Please see Springer Nature’s information on recommended repositories.
General repositories - for all types of research data - such as figshare and Dryad may be used where appropriate.
Where a widely established research community expectation for data archiving in public repositories exists, submission to a community-endorsed, public repository is mandatory.
Persistent identifiers (such as DOIs and accession numbers) for relevant datasets must be provided in the paper.
For the following types of data set, submission to a community-endorsed, public repository is mandatory:
For more information:
All original articles must include a Data availability statement. Data availability statements should include information on where data supporting the results reported in the article can be found including, where applicable, hyperlinks to publicly archived datasets analysed or generated during the study. By data we mean the minimal dataset that would be necessary to interpret, replicate and build upon the findings reported in the article. We recognise it is not always possible to share research data publicly, for instance when individual privacy could be compromised, and in such instances data availability should still be stated in the manuscript along with any conditions for access. Data Availability statements can take one of the following forms (or a combination of more than one if required for multiple datasets):
- The datasets generated during and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]
- The datasets generated during and/or analysed during the current study are not publicly available due [REASON WHY DATA ARE NOT PUBLIC] but are available from the corresponding author on reasonable request.
- The datasets during and/or analysed during the current study available from the corresponding author on reasonable request.
- Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
- All data generated or analysed during this study are included in this published article [and its supplementary information files].
- The data that support the findings of this study are available from [third party name] but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [third party name].
More examples of template data availability statements, which include examples of openly available and restricted access datasets, are available:
The journal also requires that authors cite any publicly available data on which the conclusions of the paper rely in the manuscript. Data citations should include a persistent identifier (such as a DOI) and should ideally be included in the reference list. Citations of datasets, when they appear in the reference list, should include the minimum information recommended by DataCite and follow journal style. Dataset identifiers including DOIs should be expressed as full URLs.
Research data and peer review
Peer reviewers are encouraged to check the manuscript’s Data availability statement, where applicable. They should consider if the authors have complied with the journal’s policy on the availability of research data, and whether reasonable effort has been made to make the data that support the findings of the study available for replication or reuse by other researchers. Peer reviewers are entitled to request access to underlying data (and code) when needed for them to perform their evaluation of a manuscript.
Springer Nature provides a research data policy support service for authors and editors, which can be contacted at email@example.com.
This service provides advice on research data policy compliance and on finding research data repositories. It is independent of journal, book and conference proceedings editorial offices and does not advise on specific manuscripts.
Research Data Policy Type 3 (for life sciences) by Springer Nature is distributed under the terms of the Creative Commons Attribution 4.0 International License