Validity Issues of Digital Trace Data for Platform as a Service: A Network Science Perspective
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.
KeywordsValidity 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.
- 2.Barabási, A.L.: Network Science. Cambridge University Press, Cambridge (2016)Google Scholar
- 3.Bastian, M., Heymann, S., Jacomy, M.: Gephi: an open source software for exploring and manipulating networks. In: The Proceedings of the Third International ICWSM Conference ICWSM, San Jose, California, pp. 361–362. AAAI Press, Menlo Park (2009)Google Scholar
- 8.Howison, J., Wiggins, A., Crowston, K.: Validity issues in the use of social network analysis with digital trace data. J. Assoc. Inf. Syst. 12(12), 767 (2011)Google Scholar
- 11.Paz, F., Pow-Sang, J.A.: A systematic mapping review of usability evaluation methods for software development process. Int. J. Softw. Eng. Appl. 10(1), 165–178 (2016)Google Scholar
- 14.Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications, vol. 8. Cambridge University Press (1994)Google Scholar
- 15.Lima, S., Rocha, Á., Roque, L.: An overview of OpenStack architecture: a message queuing services node. Cluster Comput. 1–12 (2017)Google Scholar