Towards a Contextual Approach to Data Quality

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Canali, S.: Towards a Contextual Approach to Data Quality. In: Data 5 (2020), Nr. 4, 90. DOI:

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Sum total of downloads: 60

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.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Philosophische Fakultät

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 33 55.00%
2 image of flag of United States United States 12 20.00%
3 image of flag of China China 4 6.67%
4 image of flag of Austria Austria 3 5.00%
5 image of flag of Taiwan Taiwan 1 1.67%
6 image of flag of Netherlands Netherlands 1 1.67%
7 image of flag of Japan Japan 1 1.67%
8 image of flag of France France 1 1.67%
9 image of flag of Spain Spain 1 1.67%
10 image of flag of Denmark Denmark 1 1.67%
    other countries 2 3.33%

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