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BMC Artificial Intelligence follows the policies of the BMC journals, unless otherwise noted below which are designed to support our commitment to open data sharing.

Availability of datasets
Where a widely established research community expectation for data archiving in public repositories exists, submission to a community-endorsed, public repository is mandatory. A list of data where deposition is required, can be found on the Editorial Policies Page. 

BMC Artificial Intelligence 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. If a dataset is not able to be deposited in any of the above repositories due to legal guidelines or ethical reasons, this must be clearly stated in the “Availability of Data and Materials” section.

Data citation
BMC endorses the Force 11 Data Citation Principles and requires that all publicly available datasets be fully referenced in the reference list with an accession number or unique identifier such as a digital object identifier (DOI).

Authors are required to formally cite any datasets stored in external repositories that are mentioned within their manuscript, including the main datasets that are the focus of the submission, as well as any other datasets that have been used in the work. For previously published datasets, we ask authors to cite both the related research articles and the datasets themselves. All methods, software, and code developed for the manuscript should include a citation on the reference list. 

All Springer Nature journals, including BMC Artificial Intelligence, are participants in the Initiative for Open Citations. As such, data citations are included in full in the formal reference list, exported to Crossref and are openly available.

An author list and title for the dataset should be included in the data citation, and should reflect the author(s) and dataset title recorded at the repository. If author or title is not recorded by the repository, these should not be included in the data citation. The name of the data-hosting repository, URL to the dataset and year the data were made available are required for all data citations. For DOI-based (e.g. figshare or Dryad) repositories the DOI URL should be used. For repositories using accessions (e.g. SRA or GEO) an identifiers.org URL should be used where available. Please refer to the following examples of data citation for guidance:

• Zhang, Q-L., Chen, J-Y., Lin, L-B., Wang, F., Guo, J., Deng, X-Y. Characterization of ladybird Henosepilachna vigintioctopunctata transcriptomes across various life stages. figshare https://doi.org/10.6084/m9.figshare.c.4064768.v3 (2018).
• NCBI Sequence Read Archive https://identifiers.org/ncbi/insdc.sra:SRP121625 (2017).
• Barbosa, P., Usie, A. and Ramos, A. M. Quercus suber isolate HL8, whole genome shotgun sequencing project. GenBank https://identifiers.org/ncbi/insdc:PKMF00000000 (2018).
• DNA Data Bank of Japan https://trace.ddbj.nig.ac.jp/DRASearch/submission?acc=DRA004814 (2016).

Availability of computer code and software
Authors must make available upon request, to editors and reviewers, any previously unreported custom computer code or algorithm used to generate the data presented in the manuscript. If published, the software application/tool should be readily available to any scientist wishing to use it for non-commercial purposes, without restrictions (such as the need for a material transfer agreement). If the implementation is not made freely available, then the manuscript should focus clearly on the development of the underlying method and not discuss the tool in any detail.

A statement describing how software or custom code can be accessed must be included in the Declaration section “Availability of Data and Materials". License information for the software or method should also be stated clearly in the “Availability of Data and Materials section” and on the repository site.

This section should include a link to the most recent version of your software or code (e.g. GitHub or Sourceforge or Code Ocean) as well as a link to the archived version referenced in the manuscript. The software or code should be archived in an appropriate repository with a DOI or other unique identifier. For software in GitHub, we recommend using Zenodo. 

Code with an assigned DOI must be formally cited and listed in the References section of the manuscript.

Availability of research materials
BMC Artificial Intelligence follows the BMC editorial policies for the sharing of research materials. 

Submission of a manuscript to a BMC journal implies that materials described in the manuscript, including all relevant raw data, will be freely available to any scientist wishing to use them for non-commercial purposes. It is acceptable to request reasonable payment to cover costs of distribution and reagents may be made available via commercial or non-commercial third party providers. Any restrictions on materials availability, including if materials are to be distributed by a for-profit company, must be clearly stated in the paper. As per our policy on authorship responsibilities, it is expected that the corresponding author (or relevant designated authors) will be responsible for materials availability unless otherwise stated. 

Study pre-registration
BMC Artificial Intelligence encourages study pre-registration and pre-registration of analysis plans in public repositories; details of pre-registration should be provided in the manuscript.

Replication studies
BMC Artificial Intelligence welcomes submission of replication studies that provide new insights into previously published results and will evaluate these submissions with the same editorial standards we apply to other submissions.

Standards of reporting
BMC Artificial Intelligence​​​​​​​ advocates complete and transparent reporting of research and follows the BMC editorial policies on standards of reporting. Additional information is available through the journal’s submission guidelines.

Helpful resources for sharing your research data
We are committed to supporting researchers in sharing their research data, and getting the credit they deserve. Here are some useful resources to help:

• Get free advice from our research data help desk
• Find a recommended repository for your data
• Publish your data in BMC Genomic Data (genomic, transcriptomic and high-throughput genotype data) or in BMC Research Notes (data from across all natural and clinical sciences)