It's nearly the end of February, and we hope you have had a good start to 2025. At openwashdata, we are actively filling positions and are looking for a Scientific Assistant to support our team in Switzerland.
If you like what you see in this newsletter and can contribute to our mission, we have a job posting for you. We are looking for a Scientific Assistant to support our team. The position is open until 31st March 2025. Learn more about the position and apply: https://jobs.ethz.ch/job/view/JOPG_ethz_JdKElDackUdCjqVlFG
We published three additional datasets in the past two months and are now at 29. Learn more about our new datasets on their dedicated websites:
planetaryhdi - https://openwashdata.github.io/planetaryhdi:
Planetary Pressures Adjusted Human Development Index Dataploswater - https://openwashdata.github.io/ploswater: Data on
Publications in PLOS Water Journalglossarywho - https://openwashdata.github.io/glossarywho: WHO
Glossaryanalytics - https://openwashdata.github.io/analytics: What the
Package Does (Title Case)glossarywho R packageThe glossarywho R package gives you access to a recently published
glossary with 207 terms by the World Health Organisation. The resource
was compiled by Epidemiology, Monitoring and Evaluation UHL (EME),
Maternal, Newborn, Child & Adolescent Health & Ageing (MCA) Team to standardize the usage of terms around health data and
statistics. The glossary is accessible as a PDF here:
https://www.who.int/publications/i/item/9789240105485. Our R package
provides the glossary as a dataset in our typical R data package format,
a CSV and an XLSX. We plan to build on this and collect more PDFs that
contain glossaries. If you know of any, please share them with us:
https://github.com/openwashdata/data/issues/54
The data science for openwashdata course conducted by Global Health Engineering (GHE) at ETH Zürich generates data on participants' engagement with the course, previous experiences with programming and takeaways from the course. This package makes accessing data stored in various formats easier and provides consolidated storage for it. In the future, this data will be used to give an overview of the course's impact.
We have built a dashboard from the analytics data that is accessible here: https://openwashdata.github.io/dashboard/dashboard.html
Our contributor of the month is once again Yash Dubey. Yash is concluding his 6-month internship with the openwashdata team at the end of February. He has produced everything covered in this newsletter, and we will truly miss him as a team member. Thank you, Yash, for your hard work and dedication to the project.
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: