摘要：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.
关键词：research data management; scientific epistemology; data quality; FAIR; reproducibility crisis research data management ; scientific epistemology ; data quality ; FAIR ; reproducibility crisis
