Our approach

We believe open practices can accelerate data-driven research and increase diversity, equity, inclusion, and belonging in science. These are critical to uncovering enduring science-based solutions faster, as well as for the well-being and resilience of research communities.


We approach open science as a spectrum, as a behavior change, and as a movement. We see data analysis as an entryway to meet scientists where they are, helping them develop new skillsets and mindsets while empowering them as leaders. We are influenced and inspired by many leaders and community organizers, particularly in the social justice, climate action, and get out the vote movements.

We know that daily demands leave little time for researchers to transition to better data practices and open science, which can be lonely and overwhelming. Openscapes helps researchers reimagine data analysis, develop modern skills that are of immediate value to them, and cultivate collaborative and inclusive research teams. We do this through mentorship, coaching, training, and community organizing, leveraging existing resources from the open community along with our own. Our activities include:

  1. Openscapes Champions Program. A remote-by-design, cohort-based open data science mentorship program for research groups. Cohorts of research groups are mentored 2x/month over several months following the Champions Lesson Series, learn how to supercharge their research.

  2. Openscapes Framework. A skill-building and community engagement open data science framework for research communities. This is a multi-year series of events designed to provide technical and leadership skill-building opportunities, through partnerships and the Openscapes Champions program.


We share our most current thinking and showcase community efforts through talks and publications on our media page. Some recent highlights include: