Data Availability Statement — required
A Data Availability Statement is mandatory in every research article, Brief Report, Systematic Review and Meta-Analysis published by Brieflands. It must appear as its own section immediately before the references. A manuscript submitted without one will be returned at technical check.
What the statement says is your choice. Brieflands requires the statement, not the sharing. You may deposit the data openly, offer them on request, or explain why they cannot be released — but you must say which, and be specific. “Data are available” with nothing further is not an acceptable statement.
The same rule applies to analysis code: where custom code or scripts produced the results, say whether the code is available and where. Where you deposit data or code, cite the dataset in your reference list with its DOI or accession number, exactly as you would cite an article, so the deposit is counted and credited.
Restriction is a legitimate answer. Patient privacy, informed-consent limits, third-party rights and national law are all valid reasons — state the reason rather than leaving the statement vague.
How to write Data Reproducibility?
From these templates, please select only one of the below templates.
- If you used "research data" in your article AND you have uploaded your research data during this submission -> Use Template 1
- If you used "research data" in your article AND You have uploaded your research data to other data repository websites like Mendeley -> Use Template 2
- If you used "research data" in your article AND you have not uploaded it anywhere due to restrictions, e.g., privacy or ethics -> Use Template 3
- If you have not analyzed (used) any research data in your article -> Use Template 4
Template 1:
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Template 2:
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Template 3:
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Template 4:
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Where to deposit
Use a repository that issues a persistent identifier (a DOI or a stable accession number) and commits to long-term preservation. A personal website, a cloud drive or a file-sharing link is not a repository and will not be accepted as one.
Use the subject-specific repository for your data type where one exists — for example a sequence archive for sequence data, a structure database for structures, or a trial registry for trial results. These are what reviewers and other researchers in your field expect and search.
Where no subject repository fits, use a recognised general repository such as Dataverse, Mendeley Data, Zenodo, Dryad or figshare. The Brieflands Repository is available as a further option, and files uploaded with your submission are held there.