This journal creates new avenues of dissemination for researchers using the increased availability of extensive data sets to quantitatively model real-world systems, and seek new discoveries, innovations and applications, often across the boundaries of traditional disciplines. Especially sought are contributions investigating novel research strategies so as to enable scientific discoveries, engineering innovations, or advances in medical diagnosis, prognosis, and treatment.
  • Balances general solution techniques with problem-specific results
  • Offers a forum for sharing methods and best practices that reveal patterns and associations embedded in data
  • Highlights data-centric tools created or cross-utilized to solve discipline-specific problems, and include suggestions for broader applications

Journal information

Editor-in-Chief
  • Alan A. Barhorst
Publishing model
Hybrid. Open Access options available

Journal metrics

96 days
Submission to first decision
123 days
Submission to acceptance
6,707 (2018)
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This journal has 2 open access articles

About this journal

Electronic ISSN
2510-1161
Abstracted and indexed in
  1. EBSCO Discovery Service
  2. Google Scholar
  3. Institute of Scientific and Technical Information of China
  4. Japanese Science and Technology Agency (JST)
  5. Naver
  6. OCLC WorldCat Discovery Service
  7. ProQuest-ExLibris Primo
  8. ProQuest-ExLibris Summon
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