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Data-Centric BiologyA Philosophical Study$
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Sabina Leonelli

Print publication date: 2016

Print ISBN-13: 9780226416335

Published to Chicago Scholarship Online: May 2017

DOI: 10.7208/chicago/9780226416502.001.0001

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PRINTED FROM CHICAGO SCHOLARSHIP ONLINE (www.chicago.universitypressscholarship.com). (c) Copyright University of Chicago Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in CHSO for personal use.date: 23 October 2019

Researching Life in the Digital Age

Researching Life in the Digital Age

Chapter:
(p.141) 6 Researching Life in the Digital Age
Source:
Data-Centric Biology
Author(s):

Sabina Leonelli

Publisher:
University of Chicago Press
DOI:10.7208/chicago/9780226416502.003.0007

Chapter 6, which is targeted at anyone interested specifically in the life sciences, examines the implications of my analysis of data-centric science for biology as a discipline and for the knowledge thus gained about living organisms. I consider three examples of successful data integration within the field of plant science, which I take to exemplify three different modes of data integration in biology as a whole, each with its own goals, means and ways of valuing and assessing data. I then use this analysis to stress how differences in how data are elected, analyzed and integrated may challenge existing conceptions of what counts as scientific knowledge in the first place. Finally, I highlight the opportunities offered by data-centric research as well as the dangers and misconceptions associated with big data rhetoric and practices, paying particular attention to related processes of inclusion and exclusion, and the ways in which data infrastructures can affect the visibility and future development of research traditions both within and beyond the life sciences.

Keywords:   data integration, data use, data reuse, plant science, translational research, Big Data

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