rOpenSci and the Peer-Review of Research Software

こんにちは - Who I’m ? :-)

rOpenSci Community Manager.
R-Ladies Leadership Team.
The Carpentries Instructor, Trainer, and Board of Director Vice Chair.
Austral University Adjunct Professor (Argentina)
GitHub Star.
Former researcher (1998-2022) at the National Institute of Agricultural Technology (Argentina).

Communities of Practice

groups of people who share a passion for something that they know how to do, and who interact regularly in order to learn how to do it better – Etienne Wenger

rOpenSci

we are a group of people who passion is open and reproducible research for everyone, build it by everyone. And we know how to do it by creating technical and social infrastructure.

Creating a suite of carefully vetted, federated R software tools.
Making the right data, tools and best practices more discoverable.
Welcoming and diverse community.
Building capacity of software users and developers and fostering a sense of pride in their work.
Promoting advocacy for a culture of data sharing and reusable software.

We do this creating a suite of carefully vetted, federated R software tools. Developers of research software send their package to our review process, and after they pass, the package is part of our suite. Developers get support on from our staff and from the community. Users get high quality software to do science.

Making the right data, tools and best practices more discoverable. Our R-Universe platform allows to publish and search more than 18000 R packages.

Welcoming and diverse community through a code of conduct, our Champions Program and our multilingual publishing efforts.

Building capacity of software users and developers and fostering a sense of pride in their work with the projets I already mention, but also by publishing online books, organizing community call and co-working session, higlighing developer with interviews and creating contect on our web pages, forum and newsletter.

(Statistical) Software Peer-Review

Transparent
Constructive
Non-adversarial
Open

How it works?

Pre-inquiry to check scope to our two software-review streams: scientific data lifecycles and statistical algorithms.

Peer-review: license, documentation, test coverage, usability, quality, stile.

Accepted: badge and add to our suite.

Scope Scientifics Data Lifecycles

data deposition
data validation and testing
workflow automation
version control
citation management and bibliometrics
scentific software wrappers
field and laboratory reproducibility tools
database software bindings

Scope Statistical Algorithms

Bayesian and Monte Carlo software
Exploratory Data Analysis and Summary Statistics
Machine Learning Software
Regression and Supervised Learning
Spatial Software
Time Series Software
Dimensionality Reduction, Clustering, and Unsupervised Learning
Probability Distributions

Some numbers

200+ scientific software packages
577 reviewers
700 unique contributors
19,452,200 downloads

Why to Participate?

Improve software quality.
Software as a genuine research output.
- Agreements with journal for a fast track review.
Become part of a community of practice of users and developers around Research Software Engineering:
- Allow innovation on tools & practices.
- Eases software dev & maintenance.
- Enhances software longevity.
- Fosters collaboration.

Why to Participate? Examples

Support the generation of the package documentation website.
Help looking for co-maintainers and contributors.
Highlight your work in our blog, newsletter, and social media.
Create the space for the community answer questions and help to solve problems.
Create the space to discuss new ideas.
Skills ups opportunities: co-working sessions, community calls, mentoring, training.
Share funding, jobs, events and collaboration opportunities.
Support when you need to retire a package.