Working together to push science forward
Happy rOpenSci users can be found at
We mean it. On behalf of rOpenSci, thank you to everyone who has contributed their creativity, curiosity, smarts, and time in the last year. We are fortunate to have paid staff who work to build technical and social infrastructure to lower barriers to working with research data. But it is our community, built on trust, that binds us together and helps us see who we are working for. Many people have submitted their R packages for software peer review (31)1, reviewed those packages (~60), contributed some code or documentation to a package (117 people made their first code contribution to rOpenSci this year), (co-)authored a blog post or tech note about their package or an rOpenSci resource (48 authors), shared a use case to help package authors see how their work is being used and help other users imagine how they can apply it (26 people), attended a Community Call (331 people in 23 countries), cited our software (306 citations of 122 packages), asked or answered questions, explored project ideas, or gave us a generous shoutout in a talk, a post, or on Twitter....
Want to get some hands-on insights into running an open source community? Here’s an opportunity to work with me, rOpenSci’s Community Manager, on some non-code community-related work. I am looking for someone to work 1 day a week for 12 to 14 weeks. Working alongside rOpenSci’s Community Manager, Stefanie Butland, you will use guidelines and checklists to help run some of our established programs like our Blog and Community Calls. Tasks include:...
rOpenSci HQ rOpenSci Announces a New $896k Award From The Gordon and Betty Moore Foundation to Improve the Scientific Package Ecosystem for R. We’re excited to announce a new member of our team! Introducing Mark Padgham, rOpenSci’s new Software Research Scientist NumFOCUS recognizes Melina Vidoni and Will Landau for their contributions to rOpenSci. Videos, speaker’s slides, resources and collaborative notes from our Community Call on Testing in R are posted....
We’re thrilled to be introducing a new member of our team. Mark Padgham has joined rOpenSci as a Software Research Scientist working full-time from Münster, Germany. Mark will play a key role in research and development of statistical software standards and expanding our efforts in software peer review, enabled by new funding from the Sloan Foundation. He will work closely with Noam Ross, rOpenSci Leadership team member, and Scientist at EcoHealth Alliance and Karthik Ram, rOpenSci Project Lead....
The United States Deparment of Agriculture National Agricultural Statistics Service (USDA-NASS) provides a wide range of agricultural data that includes animal, crop, demographic, economic, and environmental measures across a number of geographies and time periods. This data is available by direct download or queriable via the Quick Stats interface. While the Quick Stats tool puts a large amount of data into the hands of users, the interface can be frustrating, especially when trying to access more than 50,000 records or hoping to automate downloading data when new data is released....
Happy rOpenSci users can be found at