Academic Publishing insists on taking academic exchange and publication as the main line, carrying out comprehensive management based on science and technology, and fully exploring excellent international publishing resources. Within 5 years, it will form a strategic framework and scale with science (S), technology (T), medicine (M), education (E), and humanities and arts (H) as the main publishing fields. Academic Publishing is headquartered in Singapore and based in Malaysia, with the United States and China providing the main scientific and academic resources. At the same time, it has established long-term good cooperative relations with other publishing companies, scientific research communities, and academic organizations in more than a dozen countries and regions. Academic Publishing uses English and Chinese as its main publishing languages, mainly publishing books, journals, and conference papers in print and online. The vast majority of publications follow the international open access policy, providing stable and long-term quality and professional publications. With the joint efforts of the expert team and our professional editorial team, our publications will gradually be indexed by international databases in stages to provide convenient and professional retrieval for various scholars. At the same time, manuscripts we accept will be subject to the peer review principle, and cutting-edge and innovative research articles will be preferentially accepted for peer reference and discussion. All kinds of our publications are welcome for peer to contribute, access, and download.
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.
