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Thursday, July 17 • 12:00 - 13:00
Skills and tools for web native Open Science

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Research is becoming increasingly data intensive and computation driven across the board, from the life sciences to physics. There is also added pressure from funders and publishers for researchers to better document and share the outputs of their work, but despite a push for better practice, we’re still facing a gap between what computational skills (analysis, versioning, data management) researchers are expected to know and what they’re being taught at the university level.

There are a number of training programs out there (Software Carpentry, rOpenSci, Open Science Training Initiative, School of Data) working to provide additional support to researchers. But how do those skills map into the vision for more open, reproducible science? This session will explore both, providing hands on training and examples as well as fostering a discussion about how these skills lead to the vision of open research we’re all striving for.


Sophie Kay

Director, Open Science Training Initiative
avatar for Karthik Ram

Karthik Ram

co-founder, rOpenSci
Karthik Ram is a co-founder of ROpenSci, and a data science fellow at the University of California's Berkeley Institute for Data Science. Karthik primarily works on a project that develops R-based tools to facilitate open science and access to open data.

Thursday July 17, 2014 12:00 - 13:00 CEST
Space S3 Kulturbrauerei

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