a community effort to bring open data practices to the WASH sector
February 23, 2024
An active global community that applies FAIR principles (Wilkinson et al. 2016) to data generated in the great water, sanitation, and hygiene sector.
Empower WASH professionals to engage with tools and workflows for open data and code.
Screenshot from Greene et al. (2021)
Screenshot from Greene et al. (2021)
Screenshot from Soeters, Mukheibir, and Willetts (2021)
Screenshot from Soeters, Mukheibir, and Willetts (2021)
Screenshot from Mupinga et al. (2021)
Screenshot from Mupinga et al. (2021)
wasteskipsblantyre documenation website by Yesaya et al. (2023) built with pkgdown
One-way communication
Two-way engagement
Zoom for 10 modules over 2 months at the following times:
Registration open for next course: https://forms.gle/AhhWpPfnbLwzp5Ai9
Phase 1
Phase 2
Activity 1.3: Identify how ethical approval for data collection differs for types of organizations (university, NGO) and types of data (quantitative, qualitative).
Activity 1.4: Identify current data management practices and develop a draft data management strategy for organization.
Activity 1.5: Publish at least five datasets of two different types that are available to the organization, following openwashdata data publishing workflow.
This project was supported by the Open Research Data Program of the ETH Board.
This material is licensed under Creative Commons Attribution Share Alike 4.0 International.