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Community Call - Involving Multilingual Communities

rOpenSci’s community is increasingly international and multilingual. While we have operated primarily in English, we now receive submissions of packages from authors whose primary language is not. As we expand our community in this way, we want to learn from the experience of other organizations. How can we manage our peer-review process and open-source projects to be welcoming to non-native English speakers?

Our guest speakers will include:

  • Rayna Harris, who has co-led work with The Carpentries in internationalization of curricula.
  • Emilio Bruna, who as editor-in-chief of Biotropica, manages a journal with a heavily tropical-country audience and authorship base.

The call will be moderated by Melina Vidoni, an associate editor for rOpenSci software peer review. There will be 20 minutes for Q & A following the presentations.

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Taking over maintenance of a software package

Software is maintained by people. While software can in theory live on indefinitely, to do so requires people. People change jobs, move locations, retire, and unfortunately die sometimes. When a software maintainer can no longer maintain a package, what happens to the software?

Because of the fragility of people in software, in an ideal world a piece of software should have as many maintainers as possible. Increasing maintainers increases the so-called bus factor. A lower number of maintainers means fewer people have to get hit by a bus to then have no maintainers.

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Introducing the new rOpenSci docs server

As part of our continuous effort to improve rOpenSci infrastructure, we are rolling out a new service to automatically build and host documentation for all rOpenSci packages.

drakedocs

The webpages are generated using the popular pkgdown system with our rOpenSci template, and get automatically published on https://docs.ropensci.org/. Some examples:

We intend this to become the central place to find documentation for rOpenSci packages. We are still rolling this out so not all packages are there yet, but the majority is online now.

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Access Publisher Copyright & Self-Archiving Policies via the ‘SHERPA/RoMEO’ API

We’ve been following rOpenSci’s work for a long time, and we use several packages on a daily basis for our scientific projects, especially taxize to clean species names, rredlist to extract species IUCN statuses or [treeio](many probs with this post) to work with phylogenetic trees. rOpensci is a perfect incarnation of a vibrant and diverse community where people learn and develop new ideas, especially regarding scientific packages. We’ve also noticed how much the thorough review process improves the quality of the packages that join the rOpenSci ecosystem. And while we were admiring the dynamics of rOpenSci community, we started to wonder how we could contribute to this ecosystem. And this is how we started our quest to find a project that could fit rOpenSci goals while at the same time teach us new skills....

ramlegacy: a package for RAM Legacy Database

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Introduction

ramlegacy is a new R package to download, cache and read in all the different versions of the RAM Legacy Stock Assessment Database, a public database containing stock assessment results of commercially exploited marine populations from around the world. The package accomplishes all this by:

  • Providing a function download_ramlegacy(), to download all the available versions of the RAM Database and cache them on the user’s computer in a location provided by the rappdirs package. This way once a version has been downloaded it doesn’t need to be re-downloaded for subsequent analysis.
  • Supporting reading in specified tables or all tables from a cached version of the database through the function load_ramlegacy()
  • Providing a function ram_dir() to view the path of the rappdirs location where the downloaded database was cached.

The primary motivation behind developing the caching behavior of the package was to save the user time and effort spent in re-downloading different versions of the database as part of any future analysis.

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Working together to push science forward

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