Get Our e-AlertsSubmit Manuscript

About This Journal

Health Data Science is an online-only Open Access Science Partner Journal published in affiliation with Peking University (PKU) and distributed by the American Association for the Advancement of Science (AAAS). Health Data Science is also supported by the Advanced Institute of Information Technology. 

Like all partners participating in the Science Partner Journal program, Health Data Science is editorially independent from the Science family of journals and PKU is responsible for all content published in the journal. To learn more about the Science Partner Journal program, visit the SPJ program homepage.

Should researchers be interested in submitting their work to Health Data Science, we ask that they please first review the Information for Authors page.

Health Data Science content is Open Access, publishing under a Creative Commons Attribution License (CC BY) on a continuous basis. This means that content is freely available to all readers upon publication and content is published as soon as production is complete. Peking University holds an exclusive license to the content, the author(s) hold copyright and retain the right to publish.

AAAS is a member of the following organizations: ALPSP, DOAJ, OASPA, ORCID, SSP, and STM.

Mission and Scope

Health Data Science is a peer-reviewed, Open Access journal committed to promoting the appropriate application of cutting-edge technologies and analytic approaches for the health field, translating the value of health data into practice for the benefit of patients' health and populations' well-being and advancing health data science. The journal serves as a venue for interdisciplinary learning, communication and collaboration.

Scope: Health Data Science publishes innovative, scientifically-rigorous original research, comprehensive reviews, insightful perspectives, viewpoints and editorials. The topics of interest include but are not limited to:

  • Data management, governance and provenance
  • Dataset description and research
  • Application of cutting-edge techniques in healthcare
  • Ethics issues 
  • Comparative effectiveness research
  • Healthcare delivery science
  • Public health and health policies

    Publication Identifier

    e-ISSN: 2765-8783

    DOI Prefix: 10.34133


      If you are an author seeking information regarding editorial policies or if you have questions about submitting a manuscript, please first review the journal’s Publication Ethics and the Information for Authors page.

      Editorial and submissions inquiries

      Health Data Science Editorial Office
      Peking University
      38 Xueyuan Rd.
      Haidian District
      Beijing, China 100191

      To submit a new manuscript, check the status of a submitted manuscript or submit a revised manuscript

      Website Problems

      Supporting Organizations

      Peking University logo and AIIT logo

        Social Media

        Facebook: @SPJournals

        Twitter: @SPJournals

        WeChat QR