Data Science and Engineering (DSE) is an international, peer-reviewed, open access journal published on behalf of the China Computer Federation (CCF), and is affiliated with CCF Technical Committee on Database (CCF TCDB). 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 sponsor 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.

  • 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

Editor-in-Chief
  • Bin Cui,
  • Timos Sellis
Publishing model
Open Access. How to publish with us

Journal metrics

58 days
Submission to first decision (Median)
174,628 (2021)
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About this journal

Electronic ISSN
2364-1541
Print ISSN
2364-1185
Abstracted and indexed in
  1. Baidu
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. Chinese Academy of Sciences (CAS) - GoOA
  6. DBLP
  7. DOAJ
  8. Dimensions
  9. EBSCO Discovery Service
  10. EI Compendex
  11. Emerging Sources Citation Index
  12. Gale
  13. Google Scholar
  14. INSPEC
  15. Naver
  16. Norwegian Register for Scientific Journals and Series
  17. OCLC WorldCat Discovery Service
  18. Portico
  19. ProQuest Advanced Technologies & Aerospace Database
  20. ProQuest-ExLibris Primo
  21. ProQuest-ExLibris Summon
  22. SCImago
  23. SCOPUS
  24. TD Net Discovery Service
  25. UGC-CARE List (India)
  26. WTI AG
  27. Wanfang
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