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Thursday, October 3
Thu, Oct 3, 3:48 PM - 5:00 PM
TBD
Speed Session 2

CODATA-RDA Research Data Science Schools (306437)

*Marcela Alfaro Córdoba, Universidad de Costa Rica 
Louise Bezuidenhout , University of Oxford 
Simon Hodson, CODATA 
Sarah Jones, Digital Curation Centre 
Rob Quick, Indiana University Bloomington 
Hugh Shanahan, Royal Holloway, University of London 

Keywords: education, early career researchers, data science

Contemporary research – particularly when addressing the most significant, transdisciplinary research challenges – cannot effectively be done without a range of skills relating to data. This includes the principles and practice of Open Science and research data management, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualization, and modeling techniques, software development and annotation. A working group has been set up to address the critical need for skills around data science, research data management, and open science practice by pulling together existing and emerging initiatives and resources into a sustainably run, globally applicable foundational programme in Research Data Science, particularly for Low and Middle-Income Countries (LMICs). The approach for this is to run a series of Schools which typically run for two weeks that provide a foundation in the wide range of topics described above to Early Career Researchers (ECR’s), with a focus on supporting those from LMIC’s. Since August 2016 these schools have run in Trieste, Italy; Sao Paulo, Brazil; Brisbane, Australia, and Kigali, Rwanda and will have two new in 2019.