openwashdata
a community effort to bring open data practices to the WASH sector
October 11, 2023
Hello! 👋
Lars Schöbitz
- Environmental Engineer
- Open Science Specialist at Global Health Engineering
- RStudio certified instructor for Data Science with R
My role - Open Science Specialist
- research data management
- reproducible workflows
- mindset for Open Science
- research communication
- teaching data science tools
- proposal writing
Job Description: Open Science Specialist
openwashdata community
openwashdata community
Vision
An active global community that applies FAIR principles (Wilkinson et al. 2016) to data generated in the great water, sanitation, and hygiene sector.
Mission
Empower WASH professionals to engage with tools and workflows for open data and code.
The Opportunity
Journal Articles
Screenshot from Greene et al. (2021)
Journal Articles
Screenshot from Greene et al. (2021)
PDF reports
Screenshot from Soeters, Mukheibir, and Willetts (2021)
PDF reports
Screenshot from Soeters, Mukheibir, and Willetts (2021)
PDF reports + Dropbox
Screenshot from Mupinga et al. (2021)
PDF reports + Dropbox
Screenshot from Mupinga et al. (2021)
The Journey
The Product
What does final look like?
wasteskipsblantyre documenation website by Yesaya et al. (2023) built with pkgdown
Engage
Our channels
One-way communication
- Website: openwashdata.org
- Newsletter: buttondown.email/openwashdata
Two-way engagement
- Instant messaging: Element based on Matrix Chat | openwashdata-lobby | ghe-open
- Data donation ideas: github.com/openwashdata/data/issues
- Social media: Global Health Engineering LinkedIn
course: data science for openwashdata
Zoom for 10 modules over 15 weeks at the following times:
- Start: 31st October 2023 - 2 pm to 4:30 pm CET
- End: 6th February 2024 - 2 pm to 4:30 pm CET
This course is:
- free
- provides participants with a certificate
- using exclusively tools that are free and open source
- offers 1:1 coding support between lectures and beyond the course
Goals
Goals (by August 2024)
- Newsletter: 500 subscribers
- Website: 30 daily visits
- Data: 50 R data packages
- Course: 20 participants successfully complete the first course
Funding
ETH ORD Program
Open Research Data Program of the ETH Board: https://ethrat.ch/en/eth-domain/open-research-data/
ORD 1st Explore (150k), our funded proposal: https://openwashdata.org/pages/gallery/proposal/
ORD 2nd Contribute (30k), our funded proposal: https://github.com/openwashdata-dev/proposal-eth-ord-scheme-contribute/blob/main/proposal-eth-ord-scheme-contribute.md
ORD 2nd Explore (150k) guidelines, due 29th February 2024: https://ethrat.ch/wp-content/uploads/2023/10/Application-Guidelines_TrackA_Explore_2nd_call_FINAL.pdf
ORD 6th Contribute (30k) guidelines, due 12th December 2023: https://ethrat.ch/wp-content/uploads/2023/10/Application-guidelines_TrackC-Contribute-projects-6th-call-FINAL.pdf
ETH ORD Program
We draw your attention to the fact that the Contribute calls are suitable for young researchers (PhD and postdoc) who would like to add value to their data within their projects.
Open Science Working Group Email (2023-10-05)
Open Science Tools - HS23
Open Science Tools - HS23
Keen to learn the use of Open Science tool for collaborative scientific writing?
Check out: ost-hs23.github.io/website/syllabus
- Day 1: 17th October 2023 - 08:30 am to 12:30 pm CET
- Day 2: 24th October 2023 - 08:30 am to 12:30 pm CET
- ECTS: 0.5
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
