| rOpenSciの紹介 |
Joel Nitta |
2023 |
|
ja
|
| Developing Software Together (training for champions program applicants) |
Pao Corrales |
2023 |
|
en
|
| How to contribute to base R (champions training) |
Heather Turner |
2023 |
•
|
en
|
| Programming for Science |
Yanina Bellini Saibene |
2023 |
|
en
|
| Preparing remote sensing data for deep learning using r-spatial |
Cesar Aybar |
2023 |
|
en
|
| Tell me who you hang out with and I will tell you who you are. A collaborations analysis using social networks analysis |
Yanina Bellini Saibene |
2023 |
•
|
en
|
| How to enable and sustain thriving Open Source Ecosystems (OSE) |
Karthik Ram |
2023 |
|
en
|
| How rOpenSci performs peer-review |
Mauro Lepore |
2023 |
|
en
|
| Package Development: Not Rocket Science (champions training) |
Maëlle Salmon |
2023 |
|
en
|
| Package Development: the Mechanics (champions training) |
Maëlle Salmon |
2023 |
|
en
|
| rOpenSci. Reproducible Open Science for (and by) All |
Yanina Bellini Saibene |
2023 |
|
en
|
| rOpenSci Champions Program. Mentorship Training and Orientation |
Yanina Bellini Saibene |
2023 |
|
en
|
| rOpenSci Champions Program. A mentoring & training program for Scientific Open Source Champions |
Yanina Bellini Saibene |
2023 |
|
en
|
| Multilingual Publishing |
Maëlle Salmon |
2023 |
|
en
|
| rOpenSci. Bringing the best parts of academic peer-review to research software |
Yanina Bellini Saibene |
2022 |
|
en
|
| The Challenges & Opportunities of Sustaining Open Source Ecosystems |
Karthik Ram |
2022 |
|
en
|
| rOpenSci. Open Source Software Community |
Yanina Bellini Saibene |
2022 |
•
|
en
|
| rOpenSci. Convertite en una campeona del desarrollo de paquetes de R |
Yanina Bellini Saibene |
2022 |
•
|
es
|
| Comunidades de práctica: desarrollando capacidades en ciencia de datos en América Latina |
Yanina Bellini Saibene |
2022 |
|
es
|
| rOpenSci, infraestructura para una ciencia abierta en Agrometeorología |
Yanina Bellini Saibene |
2022 |
|
es
|
| rOpenSci Software Peer Review, 🤗 Empathy, 📶 communication, 🗒️ documentation, and 🤖 automation |
Maëlle Salmon |
2022 |
|
en
|
|
|
2021 |
•
|
en
|
| Assessment and Standardization of R Packages for Statistical Analysis by rOpenSci |
Mark Padgham |
2021 |
•
|
en
|
| How can ornithologists find R packages? |
Steffi LaZerte |
2021 |
•
|
en
|
| osmdata: Roadless areas and avian diversity |
Mark Padgham |
2021 |
•
|
en
|
| Using rOpenSci packages to access open data for ecology |
Steffi LaZerte |
2021 |
|
en
|
| Cyberinfrastructure for Ecological Forecasting |
Carl Boettiger |
2021 |
•
|
en
|
| Are we learning to build better models at the cost of better decisions? |
Carl Boettiger |
2021 |
•
|
en
|
| The right kind of machine learning for a changing planet? |
Carl Boettiger |
2021 |
•
|
en
|
| The R-universe project |
Jeroen Ooms |
2021 |
•
|
en
|
| rOpenSci’s Model for Managing a Federated Open Source Software Community |
Stefanie Butland |
2021 |
•
|
en
|
| autotest, a package for automatic testing of packages |
Mark Padgham |
2021 |
•
|
en
|
| Tutorial. GET better at testing your R package! |
Maëlle Salmon |
2021 |
•
|
en
|
| Monitoring health and impact of open-source projects |
Jeroen Ooms |
2021 |
|
en
|
| Navigating open-source software - Ensuring you can rely on what you use |
Rebecca Killick |
2020 |
•
|
en
|
| The R Package Review Process. Perspectives from an rOpenSci Associate Editor |
Brooke Anderson |
2020 |
|
en
|
| Revisar paquetes para una mejor ciencia |
Maëlle Salmon |
2020 |
•
|
es
|
| La travesía de taxlist en rOpenSci |
Miguel Alvarez |
2020 |
•
|
es
|
| Peer-Reviewing R Code: Where We've Been and Where We're Going at rOpenSci |
Noam Ross |
2020 |
•
|
en
|
| staypuft: object validation and serialization & should this even be a package? |
Scott Chamberlain |
2020 |
•
|
en
|
| rOpenSci, peer review, statistical software, and testing |
Mark Padgham |
2020 |
•
|
en
|
| rOpenSci, revues de packages R par les pairs pour une meilleure science |
Maëlle Salmon |
2019 |
|
fr
|
| Mejores paquetes de R, mejor ciencia |
Maëlle Salmon |
2019 |
|
es
|
| A guide to modern reproducible data science with R |
Karthik Ram |
2019 |
•
|
en
|
| A preview of Rtools 4.0 |
Jeroen Ooms |
2019 |
•
|
en
|
