Back to Search Start Over

A curriculum for foundational Research Data Science skills for Early Career Researchers

Authors :
Shanahan, Hugh
Quick, Rob
Alfaro Córdoba, Marcela
Clement, Gail
Bezuidenhout, Louise
Shanmugasundaram, Venkat
Jones, Sarah
Ashley, Kevin
Diggs, Stephen
Gillespie, Colin
El Jadid, Sara
Sorokina, Maria
Barlow, Roger
Okorafor, Ekpe
Sipos, Gergely
Costantini, Alessandro
Short, Hannah
Publication Year :
2019
Publisher :
Zenodo, 2019.

Abstract

This recommendation describes the curriculum and example materials to give Early Career Researchers (ECR’s) the foundational skills in Data Science to work with their data. This curriculum combines technical skills, such as Software Carpentry with responsible research practices such as Open and Responsible Research. This curriculum is composed of: a set of curriculum specifications for the modules run in this curriculum, an example timetable for a 10-day intensive training event, a diagram to show how these modules are connected, a spreadsheet of links to example materials that implements this, metadata for the submission, an impact statement, a document discussing the maintenance plan of the materials. The purpose of this curriculum is to be deliberately broad and shallow to be delivered over approximately 70 contact hours. It could also form the basis for a much deeper programme which will not be explored further. In 2016 we ran one school in Trieste, Italy. In 2017 we ran two, Trieste and São Paulo, Brazil. In 2018 we ran three, Trieste, São Paulo and Kigali, Rwanda. In 2019 we will run fourschools (Addis Ababa, Ethiopia, Trieste, Abuja, Nigeria and San José in Costa Rica). At the end of this year approximately 400 students will have been taught on four continents using the curriculum developed here. Note: The submission package is available athttp://doi.org/10.5281/zenodo.3478590&nbsp

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......2659..24a978c5c2f9bc956b50e86630a1700a