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dc.contributor.authorAydın, Mehmet Nafiz
dc.contributor.authorKariniasukaite, Dzordana
dc.contributor.authorPerdahci, Ziya N.
dc.date.accessioned2021-01-26T17:21:00Z
dc.date.available2021-01-26T17:21:00Z
dc.date.issued2018
dc.identifier.isbn9783319777023
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3740
dc.description.abstractData 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.en_US
dc.language.isoEnglishen_US
dc.publisherSpringer Verlagen_US
dc.subjectCloud computingen_US
dc.subjectDigital trace dataen_US
dc.subjectMetadata actionsen_US
dc.subjectNetwork scienceen_US
dc.subjectValidityen_US
dc.titleValidity issues of digital trace date for platform as a service: A network science perspectiveen_US
dc.typeBooken_US
dc.identifier.startpage654en_US
dc.identifier.endpage664en_US
dc.relation.journal6th World Conference on Information Systems and Technologies, WorldCIST 2018en_US
dc.identifier.issue745en_US
dc.contributor.khasauthorAydın, Mehmet Nafizen_US
dc.contributor.khasauthorKariniasukaite, Dzordanaen_US


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