Supporting scientific INBO-teams in their application of Open Science practices in projects
Details
A high-quality implementation of the steps in the Open Science research cycle (https://github.com/inbo/osd/releases/latest) is important in order to obtain high-quality and reliable results. A trajectory has been elaborated – the INBO Open Science Goals – in order to enhance state-of-the-art scientific skills of as many researchers as possible. On the one hand, courses, workshops, coding clubs, tutorials … iterate and deepen the concepts and methods that are important to scientific research at INBO. R is typically used for statistical analyses. We offer specific training as demanded by a research team. On the other hand we develop techniques and tools which we make available to both INBO and the scientific community.| Status | Running |
|---|---|
| Actual start/end date | 01/01/2011 - 31/12/2050 |
Teams
- Biometry and Quality Assurance
- Biometry, Methodology and Quality Assurance
- Analytic Laboratory
- Management Team
- Environment and Climate
- Monitoring Programme for the Natural Environment
INBO Research theme(s)
- Data & infrastructure
Tags
- open-science
- reproducible-research
- experimental-design
- design
- teaching
- r-packages
- modelling
- data-analysis
- open-science
Participants
Dirk BauwensEls Lommelen
Floris Vanderhaeghe
Gerrit Genouw
Paul Quataert
Pieter Verschelde
Thierry Onkelinx
Toon Van Daele
Toon Westra
Hans Van Calster
Raïsa Carmen
Ward Langeraert
Emma Cartuyvels
Tim Adriaens
Robrecht Dockx
Paul Quataert