Data and Reproducibility

Academic Publishing Pte. Ltd. strives to implement open scientific practices and promote transparency, replicability, and credibility of scientific discoveries. The data referred to in this part are raw data, processed data, code, protocols, software, algorithms, research materials, etc. 

Data availability

Authors are encouraged to provide a data availability statement when submitting to the journals of Academic Publishing Pte. Ltd. This statement should contain the following information: what data are available, where to find them, and applicable access terms. Data available may be restricted due to privacy, legal or ethical reasons. Authors may be required to provide relevant datasets during the peer review and editorial decision-making stages to assess the scientific validity of the dataset.

Data repository

We encourage authors to preserve their data to discipline-specific, community-recognized repositories before making a submission. If there is no community repository, authors can find suitable data repositories by visiting re3data.org or FAIRsharing.org. To ensure long-term preservation of data, and easy access for researchers, authors are encouraged to select a repository that can provide stable identifiers for datasets and allow public access to datasets.

Data citation

Authors should properly cite the data they used in their article and include the persistent identifiers (DOI, accession number, etc.) of the datasets. If the datasets were previously published, both the article and the datasets should be cited.