Introduction: Making sense of data-driven research in the biological and biomedical sciences
Leonelli, Sabina
Date: 1 March 2012
Journal
Studies in History and Philosophy of Biological and Biomedical Sciences
Publisher
Elsevier
Publisher DOI
Abstract
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 ...
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.
Social and Political Sciences, Philosophy, and Anthropology
Faculty of Humanities, Arts and Social Sciences
Item views 0
Full item downloads 0