Free Course: Data Science for openwashdata (ds4owd-002) - Free 9-week programme starting soon! Sign up now
Opinions, stories, tutorials, and tips from and for the openwashdata community
This blog post reports on the global response to the first Data Science for Open WASH Data (ds4owd) course launched in October 2023, which attracted WASH professionals worldwide. The post examines participants’ backgrounds, data management challenges, and learning outcomes, while announcing the upcoming second iteration of the course running from September to December 2024.
This is a report of an internship with the openwashdata team at the Global Health Engineering (GHE) group at ETH Zurich. The intern shares their experiences and learnings from working with the team.
We hosted an exciting hackathon, challenging data enthusiasts to dive into one of our 30+ datasets and craft innovative visualizations.
Join our team for 4 to 6 months and support us in building the openwashdata community while learning about open science, open research data, reproducibility, SDG6, and WASH.
Reflecting on a transformative year at the Chair of Global Health Engineering, a data scientist shares her journey from a new graduate to a key player in the Water, Sanitation, and Hygiene (WASH) sector.
In this series of blog posts, you will learn how to create maps with your geospatial data or plot a map with the help of external geospatial data.
openwashdata received another round of funding to continue working on their vision to establish an active global community that applies FAIR principles to data generated in the greater water, sanitation, and hygiene (WASH) sector.
This is a report of an internship that lasted for four months between March and June 2024. The intern, Margaux Götschmann, shares her experiences and learnings from working with the openwashdata team at the Global Health Engineering (GHE) group at ETH Zurich.
Join our team for 4 to 6 months and support us is building the openwashdata community while learning about open science, open research data, reproducibility, SDG6, and WASH.
This blog post provides a step-by-step guide on how to start developing an R data package throughout openwashdata.
openwashdata and SOIL have formed a strategic partnership to collaborate on data stewardship. Together, we will assess existing data management practices, formulate a preliminary data management strategy, and pinpoint datasets ready for open publication.
In this series of blog posts, you will learn how to create maps with your geospatial WASH data, and with the help of external geospatial data.
WASHWeb and openwashdata have formed a strategic partnership to facilitate improvements in access to water, sanitation and hygiene (WASH) data. Together, we will 1) maintain open source tools, 2) facilitate discussions and learning events, and 3) develop a WASH registry of Who works in the sector, What they do, Where they do it, and When it’s been done.
Within the social sciences, researchers value transparency to assess the scientific rigour of qualitative research. Although transparency in data production and analysis are increasingly commonplace, data access lags behind other disciplines. At GHE we are working to make our qualitative research more transparent, while developing standards for open access that will not be exclusionary for scholars in low-resource contexts.
In this blog post, you will first find ways to access, download, and share our published data. Are you interested to publish your data with us? We talk about the starting steps to launch your open data practices, get your unique ORCID iD, sign up for GitHub, and join the chat on Matrix.
