what’s next?

data stewardship for WASH Center

Lars Schöbitz

Global Health Engineering, ETH Zurich

February 6, 2025

WASH Center: Computational Competency

Where do we stand?

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

Diagram at: https://github.com/Global-Health-Engineering/concept-maps

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:

  1. 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.

  2. 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

ds4owd-001.github.io/website/

data science for openwashdata 002

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

ds4owd-001.github.io/website/

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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.