Data Availability Statements
To maintain high standards of transparency, research reproducibility, and to promote the reuse of new findings, we strongly encourage authors to include a Data Availability Statement (DAS) as part of the final published article.
Data Availability Statements provide information about where data, software, or code supporting the results reported in a published article can be found. These should include, where applicable, links to datasets shared in an external data repository, which have been analysed or generated during the study. This section should list the database, accession number, DOI, URL or any other relevant details. You should also formally cite associated datasets in the reference section of an article.
The DAS can provide information about the data presented in an article (e.g., in Figures or Tables) or provide a reason if data is not available to access (e.g human health). If supporting data or code have been included in the article’s Electronic Supplementary Information (ESI), this should also be stated here.
A Data Availability Statement should be included at the end of the article, after the Conclusions section. The following are some examples of DAS that you can use:
- Crystallographic data for [compound number] has been deposited at the [name of repository, such as CCDC / ICSD / PBD] under [accession number] and can be obtained from [URL of data record, format https://doi.org/DOI].
- The datasets supporting this article have been uploaded as part of the supplementary material.
- The code for [description of software] can be found at [URL to code location] with [DOI – if a record of the code has also separately deposited in a repository, see guidelines below for Citing software and code].
- Data for this paper, including [description of data types] are available at [name of repository] at [URL – format https://doi.org/DOI].
We do not advise that you include a statement such as “Data available upon request from the authors". Uploading data to a project webpage, rather than a repository, is also best avoided as it becomes much more difficult to find and preserve for the longer term.
Authors may also wish to add formal citations for their datasets in their DASs.