what’s next?
data stewardship for WASH Center
Global Health Engineering, ETH Zurich
February 6, 2025
WASH Center: Computational Competency
Where do we stand?
- Computational competency is a key skill for solid research data management
- Survey: https://forms.gle/XSyUJ5GrmzvXtTFN8
- 24 responses
FAIR data publishing workshop
FAIR data publishing workshop
- 19 participants
- starting point to understand overall goals of FAIR data publishing
- hands-on experience with data publishing tools
- next step is building a foundation in R programming for team members
Research Data Management
Three terms for three stages
| term | explanation | file format |
|---|---|---|
| unprocessed raw data | data that is not processed and remains in its original form and file type | often XLSX, also CSV and others |
Three terms for three stages
| term | explanation | file format |
|---|---|---|
| unprocessed raw data | data that is not processed and remains in its original form and file type | often XLSX, also CSV and others |
| processed analysis-ready data | data that is processed to prepare for an analysis and is exported in its new form as a new file | CSV, R data package |
Three terms for three stages
| term | explanation | file format |
|---|---|---|
| unprocessed raw data | data that is not processed and remains in its original form and file type | often XLSX, also CSV and others |
| processed analysis-ready data | data that is processed to prepare for an analysis and is exported in its new form as a new file | CSV, R data package |
| final data underlying a publication | data that is the result of an analysis (e.g descriptive statistics or data visualization) and shown in a publication, but then also exported in its new form as a new file | CSV |
Data Management Strategy
Data steward support
Data steward for WASH R&D Center
- A fully funded 2-year position, hopefully extended to 5-years with 3rd party funding
- 600 applications, screend to 6, invitations for interviews going out today
- Going through a 12-month programme together with data steward at NGO BASEflow in Malawi
Data steward activities (WP1)
Activity 1.3: Identify how ethical approval for data collection differs for types of organizations (university, NGO) and types of data (quantitative, qualitative).
Activity 1.4: Identify current data management practices and develop a draft data management strategy for organization.
Activity 1.5: Publish at least 10 datasets of two different types that are available to the organization, following openwashdata data publishing workflow.
Data steward activities (WP1)
Activity 1.3: Identify how ethical approval for data collection differs for types of organizations (university, NGO) and types of data (quantitative, qualitative).
Activity 1.4: Identify current data management practices and develop a draft data management strategy for organization. Future
Activity 1.5: Publish at least 10 datasets of two different types that are available to the organization, following openwashdata data publishing workflow. Past
Data steward activities (WP3)
Community expansion
- Activity 3.1: Offer advanced data science training and workshops to community members.
- Activity 3.2: Develop a mentorship program to support new members in adopting ORD practices.
- Activity 3.3: Organize community events to foster networking and collaboration.
1st openwashdata forum/retreat/gathering
- Switzerland
- 23rd to 27th June 2025
- Data stewards (Switzerland, Malawi, South Africa)
- Programme to be defined
data science for openwashdata 002
A the end of the workshop, participants will be able to:
Be able to use a common set of data science tools (R, RStudio IDE, Git, GitHub, tidyverse, Quarto) to illustrate and communicate the results of data analysis projects.
Learn to use the Quarto file format and the RStudio IDE visual editing mode to produce scholarly documents with citations, footnotes, cross-references, figures, and tables.
data science for openwashdata 002
data science for openwashdata 002
- analytics dashboard: https://openwashdata.github.io/dashboard/dashboard.html
- analytics data: https://github.com/openwashdata/analytics
- graduates 2024: https://openwashdata.org/pages/academy/graduates/
data science for openwashdata 002
- free, live, online, 10-week programme
- next iteration from Thursday, 11th September 2025 at 13:30 to 16:00 (South Africa timezone)
- Sign-up: https://forms.gle/MP5rNYZagBdfG2ZRA
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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.
