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rOpenSci - open tools for open science

rOpenSci - open tools for open science
Open Tools and R Packages for Open Science
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Published
Author Scott Chamberlain

rgbif is an R package to search and retrieve data from the Global Biodiverity Information Facilty (GBIF). rgbif wraps R code around the [GBIF API][gbifapi] to allow you to talk to GBIF from R. We just pushed a new verion of rgbif to cran - v0.5.0. Source and binary files are now available on CRAN. There are a few new functions: count_facet, elevation, and installations. These are described, with examples, below.

Published
Author Karthik Ram

Our team has been cranking out a large number of tools over the past several months. As regular readers are aware, our software packages provide programmatic access to a diverse and extensive trove of scientific data. More recently we’ve expanded our efforts to build more general purpose and cross-domain tools.

Published
Author Scott Chamberlain

rplos is an R package to facilitate easy search and full-text retrieval from all Public Library of Science (PLOS) articles, and we have a little feature which aren’t sure if is useful or not. I don’t actually do any text-mining for my research, so perhaps text-mining folks can give some feedback. You can quickly get a lot of results back using rplos, so perhaps it is useful to quickly browse what you got.

Published
Author Karthik Ram

Upcoming Book on Open Science with R We’re pleased to announce that the rOpenSci core team has just signed a contract with CRC Press/Taylor and Francis R series to publish a new book on practical ways to implement open science into your own research using R. Given all the talk about the importance of open science, the discussion often lacks practical suggestions on how one might actually incorporate these practices into their

Published
Author Scott Chamberlain

The Global Biodiversity Information Facility (GBIF) is a warehouse of species occurrence data - collecting data from a lot of different sources. Our package rgbif allows you to interact with GBIF from R. We interact with GBIF via their Application Programming Interface, or API. Our last version on CRAN (v0.3) interacted with the older version of their API - this version interacts with the new version of their API.