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. 2019 Mar 6:8:e43979.
doi: 10.7554/eLife.43979.

Data science for the scientific life cycle

Daphne Ezer #  1   2 , Kirstie Whitaker #  1   3
Affiliations

Data science for the scientific life cycle

Daphne Ezer et al. Elife. .

Abstract

Data science can be incorporated into every stage of a scientific study. Here we describe how data science can be used to generate hypotheses, to design experiments, to perform experiments, and to analyse data. We also present our vision for how data science techniques will be an integral part of the laboratory of the future.

Keywords: computational biology; data science; experimental design; none; open science; reproducibility; systems biology.

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Conflict of interest statement

DE, KW No competing interests declared

Figures

Figure 1.
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.
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