Point of View: Data science for the scientific life cycle
- Alan Turing Institute, United Kingdom
- University of Warwick, United Kingdom
- University of Cambridge, United Kingdom
Figures
Figure 1
Integrating data science into the scientific life cycle.
Data science can be used to generate new hypotheses, optimally design which observations should be collected, automate and provide iterative feedback on this design as data are being observed, reproducibly analyse the information, and share all research outputs in a way that is findable, accessible, interoperable and reusable (FAIR).We propose a virtuous cycle through which experiments can effectively and efficiently "stand on the shoulders" of previous work in order to generate new scientific insights.
Download links
A two-part list of links to download the article, or parts of the article, in various formats.
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Point of View: Data science for the scientific life cycle
eLife 8:e43979.
https://doi.org/10.7554/eLife.43979
