rOpenSci | Blog

All posts (Page 53 of 90)

Introducing Maëlle Salmon, rOpenSci’s new Research Software Engineer

We’re very pleased to be introducing someone who needs no introduction in the R community. Join us in welcoming Maëlle Salmon to rOpenSci as a Research Software Engineer (part time, working from Nancy, France). We’d like to formally introduce her here and share a bit about the kinds of things she’ll be working on. Maëlle did a B.Sc. in Biology with an emphasis on maths and quantitative work, two Masters degrees - one in Ecology and one in Public Health - and a Ph....

nodbi: the NoSQL Database Connector

🔗 DBI What is DBI? DBI is an R package. It defines an interface to relational database management systems (R/DBMS) that other R packages build upon to interact with a specific relational database, such as SQLite or PostgreSQL. 🔗 NoSQL NoSQL databases are a very broad class of database that can include document databases such as CouchDB and MongoDB, key-value stores such as Redis, and more. They are generally not row-column relational stores though, though can include that....

fulltext v1: text-mining scholarly works

🔗 The problem Text-mining - the art of answering questions by extracting patterns, data, etc. out of the published literature - is not easy. It’s made incredibly difficult because of publishers. It is a fact that the vast majority of publicly funded research across the globe is published in paywall journals. That is, taxpayers pay twice for research: once for the grant to fund the work, then again to be able to read it....

5 Things I Learned Making a Package to Work with Hydrometric Data in R

One of the best things about learning R is that no matter your skill level, there is always someone who can benefit from your experience. Topics in R ranging from complicated machine learning approaches to calculating a mean all find their relevant audiences. This is particularly true when writing R packages. With an ever evolving R package development landscape (R, GitHub, external data, CRAN, continuous integration, users), there is a strong possibility that you will be taken into regions of the R world that you never knew existed....

.rprofile: Karthik Ram

Karthik Ram is a Data Scientist at the Berkeley Institute for Data Science and Berkeley Institute for Global Change Biology. He is a co-founder of rOpenSci, a collective to support the development of R-based tools which facilitate open science and access to open data. In this interview, Karthik and I discuss the birth of rOpenSci, tools and life hacks for staying sane while managing the constant stress of work fires and the importance of saying no....

Working together to push science forward

Happy rOpenSci users can be found at