Working together to push science forward
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In order to facilitate a transformation towards open and reproducible research, rOpenSci is building and improving not only the technical infrastructure, but the social infrastructure as well. To support this, occasionally a Community Call will focus on a topic that reflects the values of rOpenSci. The first of these, on Thursday, December 15th, 8-9 AM PST, will be on “How do I create a code of conduct for my event/lab/codebase?”....
A new package gpg has appeared on CRAN. From the package description: Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic methods. Includes utilities for public key encryption, creating and verifying digital signatures, and managing your local keyring. Note that some functionality depends on the version of GnuPG that is installed on the system. In particular GnuPG 2 mandates the use of ‘gpg-agent’ for entering passphrases, which only works if R runs in a terminal session....
I feel both proud and privileged to join rOpenSci as your Community Manager. I’ve been a compulsive community builder since the early 2000’s, but it has rarely been part of my job description. Now it seems like all roads have led to this. After a couple of fine days of indoctrination at the UC Berkeley home of rOpenSci, I’m settled into work in beautiful Kamloops, British Columbia, Canada. So much of my perspective of rOpenSci comes from being a newcomer....
Whether you are an environmental scientist, a pollution expert or just concerned about the air you breathe when cycling in the United Kingdom, the ropensci rdefra package can help find the information you need. This package gives you access to the UK-AIR database, hosted by the Department for Environment, Food & Rural Affairs in the United Kingdom, directly from R. The database comprises hundreds of air quality monitoring sites and each provides time series of concentration for different pollutants such as ozone, carbon dioxide and nitrogen oxides amongst others....
The new ropensci graphql package is now on CRAN. It implements R bindings to the libgraphqlparser C++ library to parse GraphQL syntax and export the syntax tree in JSON format: graphql2json("{ field(complex: { a: { b: [ $var ] } }) }") A syntax parser is perhaps not super useful to most end-users, but can be used to validate graphql queries or implement a GraphQL API in R. We hope to add more related functionality later on....
Happy rOpenSci users can be found at