Data 4 (5):90 (2020)

Authors
Stefano Canali
Politecnico di Milano
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.
Keywords research data management  scientific epistemology  data quality  reproducibility crisis  FAIR
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References found in this work BETA

The Logic of Scientific Discovery.K. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):55-57.
Is Meta-Analysis the Platinum Standard of Evidence?Jacob Stegenga - 2011 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 42 (4):497-507.
What Evidence in Evidence-Based Medicine?John Worrall - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S316-S330.

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Citations of this work BETA

Credibility and Evidence in the Handling of SARS-CoV-2.Helbert E. Velilla-Jiménez - 2021 - History and Philosophy of the Life Sciences 43 (2):1-8.

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