The social weather of rOpenSci onboarding system

  Maëlle Salmon   | MAY 10, 2018

Our onboarding process ensures that packages contributed by the community undergo a transparent, constructive, non adversarial and open review process. Before even submitting my first R package to rOpenSci onboarding system in December 2015, I spent a fair amount of time reading through previous issue threads in order to assess whether onboarding was a friendly place for me: a newbie, very motivated to learn more but a newbie nonetheless. I soon got the feeling that yes, onboarding would help me make my package better without ever making me feel inadequate.

Nomisr - Access 'Nomis' UK Labour Market Data

  Evan Odell   | MAY 8, 2018

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. Registration is optional, although registration and the use of an API key allows for larger queries without the risk of being timed out or rate limited by the API.

How much work is onboarding?

  Maëlle Salmon   |   Noam Ross   | MAY 3, 2018

Our onboarding process, that ensures that packages contributed by the community undergo a transparent, 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-review process is a major part of ensuring its sustainability and quality. In this post, we’ll take a look at the effort put in by participants in the review process, and also learn something about exploring GitHub data along the way.

Our package reviews in review: Introducing a 3-post series about software onboarding data

  Maëlle Salmon   | APRIL 26, 2018

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? rOpenSci’s suite of packages is partly contributed by staff members and partly contributed by community members, which means the suite stems from a great diversity of skills and experience of developers.

Rectangling onboarding

  Maëlle Salmon   | APRIL 26, 2018

Our onboarding reviews, that ensure that packages contributed by the community undergo a transparent, constructive, non adversarial and open review process, take place in the issue tracker of a GitHub repository. Development of the packages we onboard also takes place in the open, most often in GitHub repositories. Therefore, when wanting to get data about our onboarding system for giving a data-driven overview, my mission was to extract data from GitHub and git repositories, and to put it into nice rectangles (as defined by Jenny Bryan) ready for analysis.

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