Introduction: Making sense of data-driven research in the biological and biomedical sciences
Studies in History and Philosophy of Biological and Biomedical Sciences
Debates about the emergence, signiﬁcance and long-term impact of ‘big data’ have become ubiquitous across most scientiﬁc disciplines. Thanks to new technologies for generating and storing information, data production is said to have increased on an unprecedented scale, together with the expectation that data should be made freely accessible to global research networks as a common resource from which new knowledge can be harvested (as often emphasised by editorials inNatureandScienceover the last decade). The biological and biomedical sciences are no exception, and are in fact widely seen as ﬁelds where the difﬁculties and potential rewards of handling big datasets are most pronounced.
This article belongs to a special issue: Data-Driven Research in the Biological and Biomedical Sciences On Nature and Normativity: Normativity, Teleology, and Mechanism in Biological Explanation. Edited By Sabina Leonelli, Lenny Moss and Daniel J. Nicholson
Author's version of a paper subsequently published in Studies in History and Philosophy of Biological and Biomedical Sciences. Please cite the published version by following the DOI link.
Vol. 43, Issue 1, pp. 1 - 3