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.
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.
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.
The Collaborative Knowledge Foundation (CoKo) and Europe PMC are excited to announce a new partnership to develop web-based, open source content and workflow management components that will enable ingest and processing of manuscripts. The system will be built on Coko’s PubSweet technology framework and will contribute to the vision of creating modern, digital-first technologies that improve the speed of research.
Our onboarding processensures that packages contributed by the community undergo atransparent, constructive, non adversarial and open review process.Before even submitting my first R package to rOpenSci onboarding systemin December 2015, I spent a fair amount of time reading through previousissue threads in order to assess whether onboarding was a friendly placefor me: a newbie, very motivated to learn more but a newbie nonetheless.I soon got
I’m excited to announce a new package for accessing official statistics from the UK. nomisr is the R client for the Nomis database. Nomis is run by Durham University on behalf of the UK’s Office for National Statistics (ONS), and contains over a thousand datasets, primarily on the UK labour market, census data, benefit spending and general economic activity.
Our onboarding process, thatensures that packages contributed by the community undergo atransparent, constructive, non adversarial and open review process,involves a lot of work from many actors: authors, reviewers and editors;but how much work ? Managing the effort involved in the peer-reviewprocess is a major part of ensuring its sustainability and quality.
Our onboardingreviews,that ensure that packages contributed by the community undergo atransparent, constructive, non adversarial and open review process, takeplace in the issue tracker of a GitHub repository. Development of thepackages we onboard also takes place in the open, most often in GitHubrepositories.
On March the 17th I had the honor to give a keynote talk about rOpenSci’s package onboarding system at the satRday conference in Cape Town, entitled “Our package reviews in review: introducing and analyzing rOpenSci onboarding system”. You can watch its recording, skim through the corresponding slides or… read this series! What is rOpenSci onboarding?