Open WASH data by building Open Science Competencies and Community
Category
Explore
Institutions
ETH Zurich
Data type
openwashdata
Field
Mechanical and Process Engineering
Researchers
Elizabeth Tilley, Lars Schöbitz, Matthias Bannert
Description
The vision of this project is to create an active global community that applies FAIR principles to data generated in the greater Water, Sanitation, and Hygiene (WASH) sector. Current data management practices hold back progress which we address by empowering WASH professionals to engage with tools and workflows for open data and code. We introduce people to the concept of "open by default", as well as the use of open source software, the principles of open science, and benefits of open government (data). So far, we have developed a data cleaning and publishing workflow using the R ecosystem and are consistently applying the concepts and principles we teach. We are delivering a free online course with 10 modules for data science with R and concluded with 20 to graduate from the course, applying the learned material to a real-life dataset of their own.
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