Giso Grimm - Short Interview
Giso Grimm - Short Interview
Today we are talking about Open Science - a topic that is becoming increasingly important and the subject of much discussion. How did you come to this topic?
Firstly via the FLOSS community, i.e. all those who are committed to free and open software. Especially on Linux operating systems, software is used that discloses all details and to which I can also contribute myself. Ultimately, it's the same in the world of open science: if scientific results and their origins are transparent and open, the results can be reproduced, weaknesses in studies can be better recognised and we can learn from them more quickly.
What is behind your initiative or project and how does it actually support Open Science?
The research tool TASCAR is a tool for acoustic simulations, but also a laboratory tool that is designed from the outset for reproducible and open science. This includes not only open-source tools, but also documentation, formalised release processes and accessibility. The same applies to my tool OVBOX, which we use to analyse communication behaviour.
What (scientific) aspirations do you personally associate with Open Science and how does this manifest itself in your daily work?
It is important to me that the processes that lead to scientific results are as transparent and reproducible as possible. This means, among other things, that free and open source tools should be used as long as they have the necessary properties for scientific work. In addition, team discussion is of course important at all stages of scientific work; open science cannot be achieved as a solitary endeavour.
What would an ideal Open Science world look like for you?
Very transparent. However, this also means that beyond purely scientific findings, data must be very well documented and published. This is work for which there is often not enough time at the moment.
Finally, what advice do you have for Open Science newcomers?
To network in order to gain a good orientation. Always question the reproducibility of your own results. I think open science should be taught at an early stage in teaching, and working groups should be a place for exchange across all phases of education and hierarchies.