Education & Capacity Building for Open Science
For researchers to engage in open science, they must first learn best practices and receive training in using the tools and software that enable reproducibility. We partner with organizations that train biomedical researchers in computational reproducibility and open research practices using a variety of methods and formats, spanning reproducible data analysis, data management, code, data, and protocol sharing, and contributing to open source for research.
Showing 6 results
To support a project that will enable collaboration, scalable analysis, and open workflows for communities in the Global South via community-focused interactive computing hubs in the cloud, paired with training and capacity building.
Chris Holdgraf Laura Ación Emmy Tsang Toby Hodges Lou Woodley Richard Dunks
MetaDocencia provides online computational and scientific training to Spanish-speaking researchers, teachers, and professionals throughout Latin America.
Dr. Laura Ación
Open Science Training and Mentoring
Yo Yehudi Bérénice Batut Malvika Sharan Emmy Tsang
Reproducibility for Everyone runs workshops to train life sciences researchers in reproducibility tools and best practices.
rOpenSci helps develop R packages for the sciences via community-driven learning, review and maintenance of R software
Karthik Ram Maelle Salmon Noam Ross Jeroen Ooms
The Carpentries teaches researchers computational skills through a scalable and community-centered model.
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