Six tips for running a successful unconference

  Stefanie Butland   | NOVEMBER 17, 2017

Attendees at the May 2017 rOpenSci unconference. Photo credit: Nistara Randhawa In May 2017, I helped run a wildly successful “unconference” that had a huge positive impact on the community I serve. rOpenSci is a non-profit initiative enabling open and reproducible research by creating technical infrastructure in the form of staff- and community-contributed software tools in the R programming language that lower barriers to working with scientific data sources on the web, and creating social infrastructure through a welcoming and diverse community of software users and developers.

2017 rOpenSci ozunconf :: Reflections and the realtime Package

  Jonathan Carroll   | NOVEMBER 14, 2017

This year’s rOpenSci ozunconf was held in Melbourne, bringing together over 45 R enthusiasts from around the country and beyond. As is customary, ideas for projects were discussed in GitHub Issues (41 of them by the time the unconf rolled around!) and there was no shortage of enthusiasm, interesting concepts, and varied experience. I’ve been to a few unconfs now and I treasure the time I get to spend with new people, new ideas, new backgrounds, new approaches, and new insights.

Building Communities Together at ozunconf, 2017

  Nicholas Tierney   | OCTOBER 31, 2017

Just last week we organised the 2nd rOpenSci ozunconference, the sibling rOpenSci unconference, held in Australia. Last year it was held in Brisbane, this time around, the ozunconf was hosted in Melbourne, from October 26-27, 2017. At the ozunconf, we brought together 45 R-software users and developers, scientists, and open data enthusiasts from academia, industry, government, and non-profits. Participants travelled from far and wide, with people coming from 6 cities around Australia, 2 cities in New Zealand, and one city in the USA.

Unconf 2017: The Roads Not Taken

  Noam Ross   | AUGUST 8, 2017

Since June, we have been highlighting the many projects that emerged from this year’s rOpenSci Unconf. These projects start many weeks before unconf participants gather in-person. Each year, we ask participants to propose and discuss project ideas ahead of time in a GitHub repo. This serves to get creative juices flowing as well as help people get to know each other a bit through discussion. This year wasn’t just our biggest unconf ever, it was the biggest in terms of proposed ideas!

emldown - From machine readable EML metadata to a pretty documentation website

  Maëlle Salmon   |   Andrew MacDonald   |   Kara Woo   |   Carl Boettiger   |   Jeff Hollister   | AUGUST 1, 2017

How do you get the maximum value out of a dataset? Data is most valuable when it can easily be shared, understood, and used by others. This requires some form of metadata that describes the data. While metadata can take many forms, the most useful metadata is that which follows a standardized specification. The Ecological Metadata Language (EML) is an example of such a specification originally developed for ecological datasets.

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