Skip to main content
Log in

Overview

EPJ Data Science is an open access journal focusing on new scientific methods for analyzing and synthesizing massive data sets to achieve new insights into societal phenomena

  • Covers extraction, analysis, and interpretation of data regarding complex systems.
  • Investigates new empirical laws concerning the function of complex systems.
  • Primarily targets techno-socio-economic systems, analyzing digital traces of human behavior as primary objects for investigation.
  • Provides a platform for discussing data-driven science in a wide range of research areas and applications.

Editors-in-Chief
  • David Garcia PhD
  • Yelena Mejova PhD

Societies and partnerships

Journal metrics

Journal Impact Factor
2.5 (2024)
5-year Journal Impact Factor
3.3 (2024)
Submission to first decision (median)
10 days
Downloads
572k (2024)

Call for papers

Latest articles

Journal updates

Journal information

Electronic ISSN
2193-1127
Co-Publisher information
EDP Sciences, Società Italiana di Fisica
Abstracted and indexed in
  1. ANVUR
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Current Contents/Engineering, Computing and Technology
  7. DBLP
  8. DOAJ
  9. Dimensions
  10. EBSCO
  11. EI Compendex
  12. Gale
  13. GoOA - The Chinese Academy of Sciences (CAS)
  14. Google Scholar
  15. INSPEC
  16. Japanese Science and Technology Agency (JST)
  17. Naver
  18. Norwegian Register for Scientific Journals and Series
  19. OCLC WorldCat Discovery Service
  20. Portico
  21. ProQuest
  22. SCImago
  23. SCOPUS
  24. Science Citation Index Expanded (SCIE)
  25. Social Science Citation Index
  26. TD Net Discovery Service
  27. WTI AG
  28. Wanfang
  29. eLibrary.ru
© Springer-Verlag GmbH Germany, part of Springer Nature

Journal navigation