Towards a Contextual Approach to Data Quality

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dc.identifier.uri Canali, Stefano 2021-05-14T06:27:50Z 2021-05-14T06:27:50Z 2020
dc.identifier.citation Canali, S.: Towards a Contextual Approach to Data Quality. In: Data 5 (2020), Nr. 4, 90. DOI:
dc.description.abstract In this commentary, I propose a framework for thinking about data quality in the context of scientific research. I start by analyzing conceptualizations of quality as a property of information, evidence and data and reviewing research in the philosophy of information, the philosophy of science and the philosophy of biomedicine. I identify a push for purpose dependency as one of the main results of this review. On this basis, I present a contextual approach to data quality in scientific research, whereby the quality of a dataset is dependent on the context of use of the dataset as much as the dataset itself. I exemplify the approach by discussing current critiques and debates of scientific quality, thus showcasing how data quality can be approached contextually. eng
dc.language.iso eng
dc.publisher Basel : MDPI
dc.relation.ispartofseries Data 5 (2020), Nr. 4
dc.rights CC BY 4.0 Unported
dc.subject research data management eng
dc.subject scientific epistemology eng
dc.subject data quality eng
dc.subject FAIR eng
dc.subject reproducibility crisis eng
dc.subject.ddc 600 | Technik ger
dc.subject.ddc 004 | Informatik ger
dc.title Towards a Contextual Approach to Data Quality
dc.type Article
dc.type Text
dc.relation.essn 2306-5729
dc.bibliographicCitation.issue 4
dc.bibliographicCitation.volume 5
dc.bibliographicCitation.firstPage 90
dc.description.version publishedVersion
tib.accessRights frei zug�nglich

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