Data Science
Our offer
Integration of data from different sources including clinical routine
We offer support regarding data transfer, preparation and the consolidation of your data into clean data sets.
Management of data centres
We manage your data from registries and cohort studies and support you in the development of research questions. Moreover, we clarify all questions regarding the feasibility of (sub)studies.
Reporting and data analysis
We create reports, visualisations and explorative analyses, if applicable also by use of dynamic interfaces.
Centralised monitoring
We implement algorithms to monitor data quality and critical metrics of your clinical trial to support clinical monitoring.
Data Safety Monitoring Boards
We create reports and visualisations as a basis for decision-making for Data Safety Monitoring Boards / Data Monitoring Committees.
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.
Data Access Committees
We offer assistance regarding Data Sharing and during the development of a Data Management Plan. A Data Access Committee enables dissemination of data according to the FAIR principle while ensuring data protection.
Consultation hour for technical questions on data preparation and visualisation, R and RShiny programming
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How to reach us
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.
More information
We are part of the Research Data Management initiative at the University of Basel:
