Affiliation:
1. Department of Sociology, Philosophy and Anthropology, University of Exeter, Exeter, United Kingdom
Abstract
The availability of big data has the potential to transform many areas of the life sciences and usher in new ways of doing research. Here, I argue that big data biology also raises fundamental questions in the philosophy of science: for example, what is a good dataset, and how can reliable knowledge be extracted from big data? Collaborations between biologists, data scientists and philosophers of science will help us to answer these and other questions.
Funder
H2020 European Research Council
Australian Research Council
Alan Turing Institute
Publisher
eLife Sciences Publications, Ltd
Subject
General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience
Reference35 articles.
1. Theory and observation in science;Bogen,2013
2. Big Data, Little Data, No Data
3. Scientific perspectivism: a philosopher of science's response to the challenge of big data biology;Callebaut;Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences,2012
4. Evaluating evidential pluralism in epidemiology: mechanistic evidence in exposome research;Canali;History and Philosophy of the Life Sciences,2019
5. Publication trends in model organism research;Dietrich;Genetics,2014
Cited by
58 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献