Welcome to the September 2025 edition of our newsletter! This month, we look at the demographics of the registrations for our "Data Science for openwashdata" course and share updates about the upcoming cohort.
Our latest blog post by Adriana analyzes registration data from the upcoming "Data Science for openwashdata" (ds4owd) course. The data shows:
The blog post includes visualizations on country representations, an age/gender pyramid, and distributions of education levels and programming experience.
The second cohort of Data Science for openwashdata (ds4owd-002) starts next week on Thursday, September 11th.
Registration remains open: https://ee-eu.kobotoolbox.org/single/7V3qeDYD
For those who could not attend the pre-course Q&A session, a recording and notes are available here: https://ds4owd-002.github.io/website/modules/md-00.html
We're beta testing a new R package by Nicoló called fairenough that will streamline our data publication process. This package leverages LLM tools like the R package elmer to help ensure our datasets meet FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
The package is currently in development and will help automate several aspects of data package creation and validation. If you participate in our course "Data Science for openwashdata", you will prepare your data for a publication using this package.
Explore the fairenough package: https://github.com/openwashdata/fairenough
This month we recognize Adriana Clavijo for her contributions to the openwashdata community. Thank you, Adriana, for your dedication to open science and WASH data!
We believe the openwashdata project prospers when we have YOU work together and promote open science and data practice! No matter what background you are from, we come up with some ways for you to get involved: