Open science is the movement to make research accessible – not just open access publications, but also data, analytical code, and more.
I do my best to publish the research data and code from studies I’m involved in, but obviously there is always room for improvement. I would encourage others to make their data and code available. It is hardly any extra work, and could help other people to:
- Find new insights in your data (which was often collected with public funds)
- Learn from and adapt your code in new ways (which will advance science)
- Find errors in your code or data (which will stop you making them again in the future)
Here are some studies I’ve co-led where the data, code or models are available:
| Study and journal link | Countries | Link to data | Link to code |
| SanQoL-5 initial development | Mozambique | link | link |
| SanQoL-5 impact evaluation | Mozambique | link | link |
| SanQoL-5 validity in 6 countries | Ethiopia, India, Kenya, Malawi, Mozambique, Zambia | link | link |
| SanQoL-5 discrete choice experiment | Mozambique | link | link |
| Handwashing / respiratory systematic review | n/a | link | link |
| Handwashing costs | 46 least developed countries | Supp. Mat. C (link) | Model (link) |
| Sanitation visual analogue scale | Ghana, Mozambique | link | link |
| Uvira cost of diarrhoeal illness | DR Congo | link | link |
WASHeconomics.com 