Data Science and Engineering (DSE) is an international, peer-reviewed, and open access journal published under the brand SpringerOpen, on behalf of the China Computer Federation (CCF). Focusing on the theoretical background and advanced engineering approaches, DSE aims to offer a prime forum for researchers, professionals, and industrial practitioners to share their knowledge in this rapidly growing area. It provides in-depth coverage of the latest advances in the closely related fields of data science and data engineering.

More specifically, DSE covers four areas: (i) the data itself, i.e., the nature and quality of the data, especially big data; (ii) the principles of information extraction from data, especially big data; (iii) the theory behind data-intensive computing; and (iv) the techniques and systems used to analyze and manage big data.

The journal publishes high-quality, original research papers, brief reports, and critical reviews in all theoretical, technological, and interdisciplinary studies that make up the fields of data science and engineering and its applications.

The publication costs are covered by The China Computer Federation (CCF) and Nanjing Sinovatio Technology Co. Ltd so authors do not need to pay an article-processing charge.

DSE operates a double-blind peer-review system, where the reviewers do not know the names or affiliations of the authors and the reviewer reports provided to the authors are anonymous.

All articles published are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Further information about open access can be found at

As authors of articles published in DSE you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the SpringerOpen copyright and license agreement (

For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines. Please contact if further information is needed.

  • An official publication of China Computer Federation (CCF)
  • Open access and fully sponsored by CCF
  • Integrates theories and methods from computer science, statistics, information science, and other fields
  • Publishes original papers on data collection and management, data integration and correlation, information and knowledge extraction, and data applications, etc.
  • Rapid review and publication of articles

Journal information

  • X. Sean Wang
  • Timos Sellis
Managing Editor
  • Bin Cui
Publishing model
Open Access. Learn about OA at Springer

Journal metrics

50 days
Submission to first decision
165 days
Submission to acceptance
96,850 (2019)

Latest issue

Volume 5

Issue 2, June 2020

Special Issue: Highly-Rated Short Papers of ICDM 2019

Latest articles

Societies, partners and affiliations

  • The China Computer Federation (CCF)
    The China Computer Federation (CCF)

About this journal

Electronic ISSN
Print ISSN
Abstracted and indexed in
  1. CNKI
  2. Chinese Academy of Sciences (CAS) - GoOA
  3. DBLP
  4. DOAJ
  5. Dimensions
  6. EBSCO Discovery Service
  7. Gale
  8. Google Scholar
  10. Institute of Scientific and Technical Information of China
  11. Naver
  12. OCLC WorldCat Discovery Service
  13. ProQuest-ExLibris Primo
  14. ProQuest-ExLibris Summon
  15. SCOPUS
  16. UGC-CARE List (India)
Copyright information