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How to Design an Interactive System for Data Science: Learning from a Literature Review

In: Advances in Information Systems Development

Author

Listed:
  • Ana Sofia Almeida

    (University of Coimbra)

  • Licinio Roque

    (University of Coimbra)

  • Paulo Rupino Cunha

    (University of Coimbra)

Abstract

As part of an ongoing design science research project, this paper presents a systematic literature review and the classification of 214 papers scoping the work on Data Science (DS) in the fields of Information Systems and Human-Computer Interaction. The overall search was conducted on Web of Science, Science Direct and ACM Digital Library, for papers about the design of IT artefacts for Data Science, over the period of 1997 until 2017. The work identifies promising research clusters in the crossroads of IS, HCI and Design, but few studies were found with concrete guidance on how to design a system for DS, when targeting for broader technical and business user profiles and multi-domain applications. In this paper, we propose a DS lifecycle process and a set of design principles to guide the design of such a system to support the whole creative DS lifecycle process.

Suggested Citation

  • Ana Sofia Almeida & Licinio Roque & Paulo Rupino Cunha, 2019. "How to Design an Interactive System for Data Science: Learning from a Literature Review," Lecture Notes in Information Systems and Organization, in: Bo Andersson & Björn Johansson & Chris Barry & Michael Lang & Henry Linger & Christoph Schneider (ed.), Advances in Information Systems Development, pages 133-150, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-22993-1_8
    DOI: 10.1007/978-3-030-22993-1_8
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