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. Here’s how:



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.

Operated by NCEAS and incubated by Mozilla

Openscapes bridges environmental synthesis 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.

Data Science as an Entryway to Open Publishing

By Julia Lowndes and Nicholas Tierney on August 25, 2020

In May 2020 we presented a virtual fireside chat at the Open Publishing Fest called “Data Science as an Entryway to Open Publishing”. The premise was that the open source R programming language is a powerhouse for data analysis and statistics – and it also is fueling open publishing through R Markdown and a large, engaged, and innovative community. We briefly showed community-created examples of tutorials, blogs, websites, manuscripts, books, etc, and discussed how they are an entryway to open science, preprints, and open scientific publishing.

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Plenary at the ESIP conference

By Julie Lowndes on August 3, 2020

In July 2020 I gave a plenary at the Earth Systems Information Partners (ESIP)’s Summer Meeting. ESIP is partnership of over 110 organizations supporting earth science data including NASA, USGS, and NOAA, and was created by NASA in 1998. This was an honor to present about Openscapes with this group and learn from this community about their work building and supporting data-driven communities. It was a really engaging remote conference experience.

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Better Data Management for Better Data Science

By Darcy Bradley on July 6, 2020

Cross-posted at emLab This is a guest post from Darcy Bradley, marine ecologist and Research Director of the Environmental Market Solution Lab’s Ocean Program at UC Santa Barbara. A leader in many realms, Darcy is thrilled to be a part of a community that celebrates open and reproducible data science; this post provides a glimpse into how she engaged that community to help her and her team improve project and data management for her research group.

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Lessons from remote meetings to bring to science

By Julie Lowndes on June 25, 2020

I had the pleasure of writing a piece with Abby Cabunoc Mayes and Chad Sansing that was just published in Open Source Way called 3 lessons from remote meetings we’re taking back to the office. For me, this includes our scientific offices and labs. In this article we offer 3 lessons: Set an inclusive tone Provide robust documentation Choose the right tools This publication builds from a previous post, How to run a remote workshop, Openscapes/Open Leaders-style and conversations on Twitter.

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