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Datastorr: a workflow and package for delivering successive versions of 'evolving data' directly into R.
Falster, Daniel S; FitzJohn, Richard G; Pennell, Matthew W; Cornwell, William K.
Afiliación
  • Falster DS; Evolution & Ecology Research Centre, and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney NSW 2052, Australia.
  • FitzJohn RG; Department of Infectious Disease Epidemiology, Imperial College London, Faculty of Medicine, Norfolk Place, London W2 1PG, UK.
  • Pennell MW; Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
  • Cornwell WK; Evolution & Ecology Research Centre, and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney NSW 2052, Australia.
Gigascience ; 8(5)2019 05 01.
Article en En | MEDLINE | ID: mdl-31042286
The sharing and re-use of data has become a cornerstone of modern science. Multiple platforms now allow easy publication of datasets. So far, however, platforms for data sharing offer limited functions for distributing and interacting with evolving datasets- those that continue to grow with time as more records are added, errors fixed, and new data structures are created. In this article, we describe a workflow for maintaining and distributing successive versions of an evolving dataset, allowing users to retrieve and load different versions directly into the R platform. Our workflow utilizes tools and platforms used for development and distribution of successive versions of an open source software program, including version control, GitHub, and semantic versioning, and applies these to the analogous process of developing successive versions of an open source dataset. Moreover, we argue that this model allows for individual research groups to achieve a dynamic and versioned model of data delivery at no cost.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Difusión de la Información Límite: Humans Idioma: En Revista: Gigascience Año: 2019 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional / Difusión de la Información Límite: Humans Idioma: En Revista: Gigascience Año: 2019 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos