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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 Science Partner Journal. The journal is dedicated to supporting scientific activities that further its mission—data for better health. Health Data Science is committed to publishing scientific advances and thoughtful views generated from collaboration between health professionals and experts from the fields of computer science (including artificial intelligence, data visualization and visual analysis, and others), statistics, informatics, engineering, ethics, and more. Health Data Science supports interdisciplinary collaboration that merges understanding of practical scenarios with cutting-edge technical approaches to ethically address challenges in health practice and aid in policy-making. The journal contributes to the health community through supporting scientific efforts that have potential to translate the value of health data for the benefit of patients‘ health and population’s well being.

Scope: Health Data Science publishes high-quality original research, reviews, perspectives, and editorials. The journal aims to publish research concerning all relevant health domains, particularly those where new technologies have greatly contributed to improving practice (such as public health, oncology, diabetes, radiology, cardiology, and more), and on various topics that advance the development of the field of health data science:

  • Cutting-edge techniques used in healthcare
  • Innovative technology evaluation in healthcare application
  • Description and analysis of disease subjects using data and metrics
  • Digital public health
  • Healthcare delivery science
  • Health policy
  • Data resource description and research
  • Data management, governance and provenance
  • Ethics issues in healthcare data utilization
  • Other relevant topics not aforementioned

    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

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      Peking University logo and AIIT logo

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