- We implement individual reports and dynamic visualisations for explorative analyses, clinical data safety monitoring boards and centralized clinical monitoring.
- As data centre we monitor quality and completeness of the captured data, perform explorative and feasibility analyses for (sub) studies and pre-process data for statistical analyses.
- We develop and maintain software packages at the interface between data management and data analysis.
- For SNSF funded projects we implement secure solutions for data sharing ensuring protection of sensitive data.
Integration of data from different sources including clinical routine
We offer support and consultation regarding preparation and consolidation of your data.
Custom software packages
We develop and maintain software packages for the simplification, automation and reproduction of recurring tasks at the interface between databases and data analysis. Our R package to import data from the clinical data management sytem secuTrial to R can be downloaded on CRAN. The latest version can be found on GitHub.
FAIR Data Principle
These four FAIR principles form the basis for a sustainable re-use of research data
Findable: Research data should be provided with a digital object identifier (DOI) and should be easy to find.
Accessible: Research data, or at least the associated metadata, should be easily accessible and access to the research data should be described.
Interoperable: Research data should be easy to interpret and use public and free data formats and standards as far as possible.
Re-useable: Data collection and processing are well documented so that research data can be easily reused.