The challenges of big data biology.
Where this comes from
- Record sourced from PubMed, PMID 30950793.
- Also identified by DOI 10.7554/eLife.47381 and PMC identifier 6450665.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Big Data
- Biomedical Research
- Electronic Data Processing