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Want to Intern with rOpenSci’s Community Manager?

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:

  • Reviewing and editing community-contributed blog posts via Git and GitHub, publishing them to our website, and drafting and scheduling tweets to promote them
  • Publishing information on upcoming Community Calls to the rOpenSci website, promoting them through multiple channels, and post-Call video editing
  • Monitoring social media for use cases of rOpenSci packages or resources, encouraging people to share those in our public forum, and scheduling tweets to promote them
  • Drafting and scheduling tweets when an rOpenSci package is featured in RViews Top 40, highlighted in R-Weekly monthly news, or similar digests
  • Sharing your opinions with us on how we can improve any of these

Who are you? You are familiar with R communities, understand that it’s people that make software, and you have a sense of community building with a “what’s it like to be you” perspective. You have a working knowledge of Git and GitHub, are skilled in written and spoken communication, grammar, and editing in English and are comfortable communicating on Twitter.

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Thank You, 2019

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.

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2 Months in 2 Minutes - rOpenSci News, December 2019

 

🔗

rOpenSci HQ

We cleaned our website URLs with R!

How we corrected URLs in our website source (broken internal and external URLs, shortlinks, http scheme, etc.) using R tools (crul::ok(), commonmark, etc.) and some manual work.

HTTP testing in R: overview of tools and new features

Testing is a crucial component to any software package. Testing makes sure that your code does what you expect it to do; and importantly, makes it safer to make changes moving forward because a good test suite will tell you if a change has broken existing functionality. Our recent community call on testing is a nice place to get started with testing.

One way to make testing even harder is through including HTTP requests. This adds complexity for many reasons:

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Working together to push science forward

Happy rOpenSci users can be found at