Datastorr: a workflow and package for delivering successive versions of 'evolving data' directly into R-Reference-Cited by-同舟云学术

Datastorr: a workflow and package for delivering successive versions of 'evolving data' directly into R

Published:2019-05-01 Issue:5 Volume:8 Page:
ISSN:2047-217X
Container-title:GigaScience
language:en
Short-container-title:

Author:

Falster Daniel S¹^ORCID,FitzJohn Richard G²,Pennell Matthew W³^ORCID,Cornwell William K¹^ORCID

Affiliation:

1. Evolution & Ecology Research Centre, and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney NSW 2052, Australia

2. Department of Infectious Disease Epidemiology, Imperial College London, Faculty of Medicine, Norfolk Place, London W2 1PG, UK

3. Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

Funder

Australian Research Council

NSERC Discovery

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

Link

http://academic.oup.com/gigascience/article-pdf/8/5/giz035/28573105/giz035.pdf

Reference45 articles.

1. Data archiving in ecology and evolution: best practices;Whitlock;Trends Ecol Evol,2011

2. The advent of mandatory data archiving;Fairbairn;Evolution,2011

3. Data archiving is a good investment;Piwowar;Nature,2011

4. Data-sharing: everything on display;Van Noorden;Nature,2013

5. Scientists losing data at a rapid rate;Gibney,2013

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3. Datastorr: a workflow and package for delivering successive versions of 'evolving data' directly into R;GigaScience;2019-05-01