What we do

At Openscapes, we champion open practices in environmental science to help uncover data-driven solutions faster. Regardless of research question, environmental scientists are united by the need to analyze data — and to do so in a way that is efficient, reproducible, and easily communicated. With tools specifically created to meet modern demands for collaborative data science, we help create a positive open culture to enable better science in less time. Our approach:



Engage

We build awareness and excitement. We engage scientists with the possibilities of open data science with empathy, art, and storytelling, using narratives like our own path to better science in less time.

Empower

We help build confidence and skills. We empower scientists by connecting them with existing open software and communities that meet them where they are so they can develop the skills they need.

Amplify

We build champions and communities. We amplify scientists’ efforts through academic seminars as well as blogs and social media to increase the visibility of open practices on campus and online.

Champions Program

Openscapes Champions is a mentorship program that empowers science teams with open data science tools and grows the community of practice in the research group, organization, and beyond. Read how the 2019 Openscapes Champions have supercharged their research, and contact us about participating in the Champions program.

Incubated by Mozilla and NCEAS

Openscapes bridges data-intensive environmental science with the open movement. Learn more about us.

    

From our blog

Blog posts are both Openscapes stories and advice snippets for the community. Some are cross-posted on Medium.com. Also, see our media page for media, presentation slide decks, and publications.

Quarto Keynote at the RStudio Conference

By Julie Lowndes on August 10, 2022

This is a brief post summarizing my co-keynote at rstudio::conf(2022), with Mine Cetinkaya-Rundel titled Hello Quarto: share, collaborate, teach, reimagine. All slides, demos, art, are available for reuse and remix! slides: https://mine.quarto.pub/hello-quarto repo: https://github.com/mine-cetinkaya-rundel/hello-quarto art: https://twitter.com/allison_horst/status/1552693891706413056 twitter thread: https://twitter.com/juliesquid/status/1553527320308338688 At rstudio::conf(2022), I had the distinct honor to welcome folks to Quarto, which Openscapes has been using to collaborate and reimagine how we tackle inclusive environmental science & the climate crisis.

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Learning by doing: migrating to Quarto from Bookdown

By Stefanie Butland, Ileana Fenwick on July 21, 2022

Learning by doing: migrating to Quarto from Bookdown I just had rather a lot of fun working with Ileana Fenwick to convert a book to Quarto from RMarkdown! Given that Quarto is relatively new and there’s not yet an excess of resources beyond the official docs, we’ve documented how we did it. First, what is Quarto? It is a new open-source scientific and technical publishing system, building on ten years of what RStudio learned from RMarkdown, and extends these features beyond R.

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Hello Quarto! A Chat with NASA Openscapes, co-hosted with R-Ladies Santa Barbara

By Sam Csik, Julie Lowndes, Amy Steiker, Catalina Oaida Taglialatela, Aaron Friesz, J.J. Allaire, Erin Robinson, Stefanie Butland on June 22, 2022

Hello Quarto! A Quarto Chat with NASA Openscapes, co-hosted with R-Ladies Santa Barbara Our 6th Openscapes Community Call co-hosted with R-Ladies Santa Barbara featured a “celebrity interview” with NASA Openscapes Champions and J.J. Allaire, lead Quarto developer and CEO of RStudio, led by Sam Csik of R-Ladies Santa Barbara. Quarto is an open-source scientific and technical publishing system built on Pandoc that allows users to create dynamic documents, presentations, websites, and more.

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GitHub for supporting, reusing, contributing, and failing safely

By Allison Horst and Julie Lowndes on May 27, 2022

Welcome! This illustrated series tells a story about why GitHub is so powerful for supporting, reusing, contributing, and failing safely. It is here as a blog post and also as slides to be most flexible for teaching. This complements the Tidy Data Illustrated Series and is a collaboration around open science, coding, teaching, and art. Please reuse & remix with your own communities: Download from https://github.com/allisonhorst/stats-illustrations Reuse/remix from this slide deck

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