Data Science and Engineering

Print ISSN: 2364-1185

Electronic ISSN: 2364-1541

Basic Info

  • Publisher: Springer
  • Country: germany
  • Date added to EuroPub 2018/Jan/25

Subject & More

LCC Subject Category: Computer and Information Science, Engineering, Data Communication and Networks, Information Science

Publisher's keywords: Novel Applications of Big Data, Big Data Based Decision-Making, Big Data-Based Optimization, Data Security, Privacy, and Trust, The Nature and Quality of Data, Mining Big Data

  • Language of fulltext: english
  • Time from submission to publication: 12 Weeks

Publication Charges

  • Article Processing Charges (APCs): No
  • Submission charges: No
  • Waiver policy for charges? No

Open access & licensing

  • Type of License: CC BY
  • Open Access Statement: Yes
  • Year open access content began: 2016
  • Does the author retain unrestricted copyright? True
  • Does the author retain publishing rights? True

Best practice polices

  • Permanent article identifier: DOI
  • Content digitally archived in: LOCKSS, CLOCKSS, Portico,
  • Deposit policy registered in: Sherpa/Romeo

Impact Factor