Data Sharing and Deposition

Data Availability Statement

At SUAS, we value open scientific exchange and believe in promoting transparency and reproducibility in research. We encourage Authors to submit to SCIMET Series journals to include a Data Availability Statement in their manuscripts. This statement should provide information about the availability of the research data and any restrictions or conditions associated with accessing it.

1. Data sharing may be inappropriate when ethical, legal, or privacy considerations arise. In such cases, authors must clearly outline any limitations in the Data Availability Statement during manuscript submission. It is the author's responsibility to ensure that any shared data adhere to the consent obtained from participants regarding the use of confidential information.

2. Data Repositories

Authors are strongly encouraged to deposit their research data in reputable and discipline-specific data repositories. Preferred data repositories should be recognized and indexed by organizations like DataCite, re3data, or other relevant repositories in their respective fields.

3. Data Citation

Research data should be cited in the main article to give proper credit and acknowledge the efforts of data creators. Authors must properly reference the deposited data in their reference list, including the dataset's persistent identifier (DOI, accession number, etc.).

Analytic Methods (Code) Transparency

For work where novel computer code was developed, authors should release it either by depositing it in a recognized, public repository such as GitHub or uploading it as supplementary information to the publication. The name, version, corporation and location information for all software used should be clearly indicated. Please include all the parameters used to run software/program analyses.

1. Code Availability

Authors are strongly encouraged to share the computer code and software used to generate results presented in their articles. The availability of code enhances research reproducibility and allows other researchers to build upon the work.

2. Code Repositories

Authors should deposit their code and software in well-established and reputable code repositories such as GitHub, GitLab, Bitbucket, or other relevant platforms. Providing a link to the code repository should be included in the Data Availability Statement.

3. Code Documentation

Authors must ensure that the deposited code is well-documented, readable, and easy to understand. Sufficient comments and explanations should be provided within the code to facilitate its usage by others.

4. Citation

Authors must provide a citation for the code in the article's reference list. Include the code's persistent identifier (e.g., DOI or URL) to facilitate proper acknowledgment and citation by other researchers.

Data Deposition and Suggested Repositories

Prior to manuscript submission, please choose the appropriate repository, below are recommended data repositories for your research:

Dataverse, Dryad, figshare, GigaScience, Mendeley Data, Zenodo

You may also visit DataCite, re3data to identify registered data repositories for your data sharing.

For journals with health research subjects, the deposition of sequence information to the community-endorsed, public repository is necessary. Accession numbers and other relevant, unique identifiers provided by the database should be included in the submitted manuscript.