Towards a Contextual Approach to Data Quality
Copyright policy )Towards a Contextual Approach to Data Quality
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.
- Polytechnic University of Milan Italy
- University of Hannover Germany
scientific epistemology, Data quality, Research data management, Dewey Decimal Classification::600 | Technik, Bibliography. Library science. Information resources, reproducibility crisis, Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::004 | Informatik, data quality, research data management, Reproducibility crisis, Scientific epistemology, Z, FAIR
scientific epistemology, Data quality, Research data management, Dewey Decimal Classification::600 | Technik, Bibliography. Library science. Information resources, reproducibility crisis, Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::004 | Informatik, data quality, research data management, Reproducibility crisis, Scientific epistemology, Z, FAIR
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).17 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!