Software, Data and Models are the central tools that underpin almost all scientific work at PIK. As an Institute we share a common commitment to ensuring these tools are fit for purpose. They are focused on effectively answering the most pressing scientific questions of our age, while upholding highest standards of quality and integrity.
Scientific Modelling Strategy
The Board of Scientists of PIK coordinates our Scientific Modelling Strategy, covering three key areas:
- Models improving our understanding of natural and socio-economic systems
- Models providing future scenarios and pathways
- Models informing decisions.
The individual research departments modelling sites contain more details on the most important Models and tools:
Open Science and Open Source
PIK strives to uphold high standards of scientific practice and commits itself to the Open Science Declaration of the Leibniz Association. As part of this commitment PIK enables researchers to make the software, modelling code and the data underpinning our research widely available. This is enshrined in our Open Source strategy.
A list of our published Software is here.
Reproducibility and Quality Assurance
To ensure high quality and easy reproducibility of our scientific work, PIK has Software and Model Guidelines. These standards address responsibility, sustainability, implementation, documentation and outreach themes for our software, data, and models. Properly archiving all data and software contributing to a published paper is part of our publication workflow.
Software, Data and Models Council
Within PIK, the Software, Data & Models Council, in which all working groups are represented, is tasked with maintaining and developing these guidelines, and coordinating all technical aspects of software, data and modelling.
Coordination and software development within individual Research Departments is supported by dedicated RSE groups where appropriate.
