About

Concept

Archives of Data Science, Series A publishes papers of short to medium length (approximately 8 - 20 pages) in the emerging field of data science. It covers regular research articles from the field of Data Science and special issues on conferences, workshops and joint activities of the German Classification Society/Gesellschaft für Klassifikation (GfKL) and its cooperating partners and organisations.

Archives of Data Science, Series A is the first of a bundle of journals for the field of data science. All publications are available both as free OpenAccess articles as well as printed version orderable via KIT Scientific Publishing (KSP).

Peer Review Policy

Every submitted paper is reviewed by at least two reviewers.

Accepted final papers will be published as fully reviewed online-first version that are freely available and already citable with the note Online-First in the reference. Final papers are published in cooperation with KIT Scientific Publishing (KSP) as an electronic version. Each issue of the journal can also be ordered as print-on-demand version.

Copyright

Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. By virtue of their appearance in this open access journal, articles are free to use, with proper attribution, in educational and other non-commercial or commercial settings.
By submitting an article the authors agree that their work is published (on acceptance) under the terms of the Creative Commons Attribution-ShareAlike (CC CY-SA) license.
For details, we refer to the FAQ of KIT Scientific Publishing (in German). For further information on this license, see: http://creativecommons.org/licenses/by-sa/4.0/

Editorial Board

In alphabetic order:

  • A. Geyer-Schulz (Karlsruhe Institute of Technology)
  • E. Hüllermeier (Paderborn University)
  • H. A. Kestler (Ulm University)
  • B. Lausen (University of Essex)
  • F. Murtagh (University of Huddersfield)
  • J. Pociecha (Cracow University of Economics)
  • A. F. X. Wilhelm (Jacobs University Bremen)

Link us

http://www.archivesofdatascience.org

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Contact details

Technical Support
For problems when preparing a submission and with the submission and reviewing processes of the journal please contact:
Technical Support Team
em-journals@iism.kit.edu
KIT Scientific Publishing
c/o KIT-Bibliothek
Straße am Forum 2
D-76131 Karlsruhe
Germany
Contact
Principal Contact: Prof. Dr. Andreas Geyer-Schulz
Karlsruhe Institute of Technology
Institute of Information Systems and Marketing
Information Services and Electronic Markets
Kaiserstraße 12
76131 Karlsruhe
Germany

Phone: +49 721 608 48402
Fax: +49 721 608 48403
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