Point of View: Data science for the scientific life cycle

  1. Daphne Ezer  Is a corresponding author
  2. Kirstie Whitaker
  1. Alan Turing Institute, United Kingdom
  2. University of Warwick, United Kingdom
  3. University of Cambridge, United Kingdom
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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.

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  1. Daphne Ezer
  2. Kirstie Whitaker
Point of View: Data science for the scientific life cycle
eLife 8:e43979.