A short course on Reproducible Research Techniques for Synthesis

The National Center for Ecological Analysis and Synthesis (NCEAS) together with DataOne is arranging a short course in Reproducible Research Techniques for Synthesis. The course focus on the importance of metadata, software development (R and Git) and communication of results.

The course was announced through CODATA as (further details on the course are available in the links provided):

Registration is now open for our intensive, five-day “Reproducible Research Techniques for Synthesis” immersion course. Running quarterly, the upcoming session will take place February 18-19, 22-24 virtually.

The course will enable researchers across career stages and sectors to gain fundamental data science skills in support of open, reproducible research techniques. Major course foci will include managing data to enable better reuse, building reproducible workflows using R and git, and communicating results within the framework of synthesis science.

This is an opportunity for students, researchers, data managers, and others to reinforce or expand their learning and become familiar with current best practices and tools in data science and open science.  These skills will enable you to maximize your productivity, share your data effectively, and accelerate the scientific community’s ability to work together on solving important questions about the environment and our interactions with it.

Learn more and register.

Capacity is limited. Register now to secure your place.

NorDataNet promotes reproducible research and encourage scientists (especially early career scientists) to attend.

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