Data sharing policy

The sharing of data enhances rigor by enabling independent researchers to verify the reproducibility of findings. Additionally, it offers evidence in cases where research misconduct is claimed. Releasing the full data sets that are the foundation of the results in research article provides many advantages. It promotes reuse, lessens research waste, and enhances collaboration. These benefits lead to a more reliable evidence base and a healthier society.

We encourage and support the sharing of research data, ensuring it is discoverable, citable, and recognized as an important intellectual asset. Increased transparency builds trust in research outcomes by allowing for independent verification of results.

The manuscript data comprises of any information collected, observed, and researched to validate the published findings which may be numerical data, visual data, descriptive data, interview data, spreadsheets, quantitative and qualitative information

The sharing of data with our open access journal is regulated by one of the methods listed below;

Encouraging Data Sharing

The journal promotes the sharing of data and other artifacts that support the results in the paper by encouraging authors to archive them in a suitable public repository. Authors have the option to share their data and are required to include a data availability statement for research- and synthesis-based articles to verify whether shared data is available or not. A statement either confirming the presence or absence of shared data must be included in the manuscript along with the link to access the said data. It is essential to cite any shared data. For those authors who have made their data available

Mandates Data Sharing

Journals that necessitate data sharing declare that sharing data relevant to journal articles is a requirement for acceptance. Researchers have the option to share data either before submission or, alternatively, after peer review but before publication. This policy is effective when data sharing is the norm within a research community. The dissemination of data that validates research and the information pertaining to that research is established as a conditional prerequisite for publication in a public repository. A data availability statement is required to be included in the manuscript, along with a link to the repository and a citation of the data being shared. There may be exceptions to data sharing that apply to information necessary to adhere to ethical or legal obligations (for instance, any identifying information of a human subject who has consented to the experimental research). Peer review of this data is essential to verify the accuracy, quality, and authenticity of the data being shared. Some of the evaluations conducted by the reviewer include assessing the completeness of the data, ensuring proper labeling of the data, and confirming the presence of suitable metadata related to the information being shared.