openwashdata

a community effort to bring open data practices to the WASH sector

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Prof. Elizabeth Tilley, Global Health Engineering, ETH Zurich, Switzerland

August 29, 2024

openwashdata community

• To address this, we started the openwashdata community

openwashdata community

Vision

An active global community that applies FAIR principles (Wilkinson et al. 2016) to data generated in the greater water, sanitation, and hygiene sector.

Mission

Empower WASH professionals to engage with tools and workflows for open data and code.

openwashdata academy

• We also established the openwashdata academy through which we provide training to anyone interested in the greater WASH sector.

data science for openwashdata 001

• free, live, online, 10-week programme
• 200 registrations
• 100 show-ups
• 20 graduates - Check out final reports: openwashdata.org/pages/academy/graduates/
• next iteration: September/October 2024, sign-up: https://forms.gle/MP5rNYZagBdfG2ZRA

ds4owd-001.github.io/website/

openwashdata data stewardship network

• establishing data stewardship network from September 2024
• 🇿🇦 University of KwaZulu-Natal WASH R&D Centre
• 🇲🇼 BASEflow Malawi
• 🇭🇹 SOIL Haiti
• funded proposal: openwashdata.org/pages/gallery/proposal-02/

openwashdata data catalogue

data catalogue

• data from course graduates & community members & public data
• curated as stand-alone websites
• available as R package, XLSX, CSV

openwashdata.org/pages/gallery/data/

Join us!

• Newsletter: https://buttondown.com/openwashdata
• Data donation: https://openwashdata.org/pages/blog/posts/2024-05-17-data-publication-1/

Thanks 🌻

This project was supported by the Open Research Data Program of the ETH Board.

The slides were created via revealjs and Quarto: https://quarto.org/docs/presentations/revealjs/

You can view source code of slides on GitHub

Or you can download slides in PDF format

This material is licensed under Creative Commons Attribution Share Alike 4.0 International.

References

Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3 (1). https://doi.org/10.1038/sdata.2016.18.