Data == knowledge! Much of the data we use, whether it be fromgovernment repositories, social media, GitHub, or e-commerce sites comesfrom public-facing APIs. The quantity of data available is trulystaggering, but munging JSON output into a format that is easilyanalyzable in R is an equally staggering undertaking.

Part of rOpenSci’s mission is to create technical infrastructure in the form of carefully vetted R software tools that lower barriers to working with data sources on the web. Our open peer software review system for community-contributed tools is a key component of this. As the rOpenSci community grows and more package authors submit their work for peer review, we need to expand our editorial board to maintain a speedy process.

You can find members of the rOpenSci team at various meetings and workshops around the world. Come say ‘hi’, learn about how our software packages can enable your research, or about our process for open peer software review and onboarding, how you can get connected with the community or tell us how we can help you do open and reproducible research. 🔗Where’s rOpenSci?

🔗Introduction I never thought that I’d be programming software in my career. I startedusing R a little over 2 years now and it’s been one of the most importantdecisions in my career. Secluded in a small academic office with no oneto discuss/interact about my new hobby, I started searching the web fortutorials and packages. After getting to know how amazing and nurturingthe R community is, it made me want to become a data scientist.

Have you ever needed to connect to a remote server over SSH to transfer files via SCP or to setup a secure tunnel, and wished you could do so from R itself? The new rOpenSci ssh package provides a native ssh client in R allows you to do that and even more, like running a command or script on the host while streaming stdout and stderr directly to the client.

For the fourth and last day of project recaps from this year’s unconf, here is an overview of the next five projects. (Full set of project recaps: recap 1, recap 2, recap 3, recap 4.) In the spirit of exploration and experimentation at rOpenSci unconferences, these projects are not necessarily finished products or in scope for rOpenSci packages.

KO: What is your name, job title, and how long have you been using R? JS: My name is Julia Silge and I’m a data scientist at Stack Overflow. I have been working in R for less than three years. KO: Wow! What were you all about before that?

For day 3 of project recaps from this year’s unconf, here is an overview of the next five projects. Stay tuned for the last recap tomorrow. (Full set of project recaps: recap 1, recap 2, recap 3, recap 4.) In the spirit of exploration and experimentation at rOpenSci unconferences, these projects are not necessarily finished products or in scope for rOpenSci packages. Let’s dive into today’s 5 projects in focus!

As part of our series summarizing all projects from this year’s unconf I’m excited to dive into all the security related offerings from this year. (Full set of project recaps: recap 1, recap 2, recap 3, recap 4.) In the spirit of exploration and experimentation at rOpenSci unconferences, these projects are not necessarily finished products or in scope for rOpenSci packages.

We held our 5th annual unconference in Seattle, May 21-22, 2018 at Microsoft’s Reactor space. Researchers, students, postdocs and faculty, R software users and developers, and open data enthusiasts from academia, industry, government, and non-profits came together for two days to hack on projects they dreamed up and for an opportunity to meet and work together in person.

After Stefanie’s recap of unconf18, this week the blog will feature brief summaries of projects developed at the event: each day 4 to 5 projects will be highlighted. (Full set of project recaps: recap 1, recap 2, recap 3, recap 4) In the following weeks, a handful of groups will share more thorough posts about their work.