Data articles： instruction for authors
Data article preparation
Data article is a descriptor that narrates information associated with a dataset, such as its origination, collection, applicable value, etc. We only accept and publish original work. Data article as well as corresponding dataset should be clear of confidential data, and data release would not violate public security. Please refer to the Template for Data Article for the structuring and content organization. Please use the submission system of the journal to submit the manuscript. A notification of “data article column” is necessary.
Data entities and metadata of the dataset described by the article need to be deposited to the Population and Health Data Archive (PHDA) platform, or other recognized data repositories. The access to the dataset is required to be included in the manuscript for peer review. Please see the Guideline of Data Submitting for more information.
All data articles will be sent for peer review to assess the ownership, value of reuse, legality, preciseness, quality, integrity, and ethics of the dataset, and the normalization, accuracy, consistency of the data article. Final decision on acceptance is based on the comments from at least 3 peer reviewers.
Submission of a data article need include a statement that indicates approval from the data owner(s).
The submitted dataset should be desensitized, i.e., not include privacy information, identify information of patients, volunteers, institutions, and hospitals.
Authorship of a data article should meet the criteria defined by the International Committee of Medical Journal Editor (ICMJE). Please sign and submit the Statement of Authorship and Contribution at submission.
Text plagiarism and self-plagiarism, manipulation of data are un-ethical and not acceptable. Authors are responsible for integrity of the article and the dataset.
Any research article related to the dataset, whether published or unpublished, should be indicated in the manuscript to ensure the transparency of academic publication. Duplicated publication is unethical and not acceptable.
All authors need disclose conflict of interests associated to the submitted work.
Dataset that involves human beings, experimental animals, or genetic resources need to be compliant with bioethical standards and relevant regulations.
Funding that support the dataset need to be included in the article.
Accepted data articles will go through regular editing and proofreading processes, and be published in print and online under Creative Common attributions. The described dataset is co-published on PHDA platform, with independent resource certification and identification, and can be accessed freely or shared under agreement in particular case.