Validity Issues of Digital Trace Data for Platform as a Service: A Network Science Perspective

  • Mehmet N. Aydin
  • Dzordana Kariniauskaite
  • N. Ziya Perdahci
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 745)


Data validity becomes a prominent research area in the context of data science driven research in the past years. In this study, we consider an application development on a cloud computing platform as a promising research area to examine digital trace data belonging to records of development activity undertaken. Trace data display such characteristics as found data that is not especially produced for research, event-based, and longitudinal, i.e., occurring over a period of time. Having these characteristics underlies many validity issues. We employ two application development trace data to articulate validity issues along with an iterative 4-phase research cycle. We demonstrate that when working with digital trace data, data validity issues must be addressed; otherwise it can lead to awry results of the research.


Validity Digital trace data Cloud computing Metadata actions Network science 



We are indebted to CEO of Imonacloud for providing us with an opportunity to employ the digital trace data on Imonacloud platform.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Mehmet N. Aydin
    • 1
  • Dzordana Kariniauskaite
    • 1
  • N. Ziya Perdahci
    • 2
  1. 1.Department of Management Information SystemsKadir Has UniversityIstanbulTurkey
  2. 2.Department of InformaticsMimar Sinan Fine Arts UniversityIstanbulTurkey

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