“I’m a data scientist. One needs to be aware that data is important to do science. But it comes with lots of issues, to make good quality results. It’s not just about collecting data and using it. Any data-driven solutions you try to develop, you need to understand the users and their different roles. A lot of work on the data is not just about the technology. It’s also about the social aspects. It’s not just about setting up a system and saying, ‘The scientists will use it.’

What I learned from my computing science experience is that every domain is different. If you want to develop a computing solution for a domain, you need to get familiar with the user environment, workflows, best practices, language and so on, and it’s important to get familiar with this before coming up with a solution. Every domain I have worked in, I had to get familiar with the practice, so the users will see the computing solution as integrated, and they will use it.”