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.

Tips & support

Do you want to transfer data to the DKF?

Here are practical instructions to ensure safe and efficient data preparation and transfer.

Access instructions

Do you want to import data from secuTrial into R?

Our R package for this can be downloaded from CRAN. You can find the latest version of the package on GitHub.

Free of charge for DKF research groups

Consultation hour for technical questions on data preparation and visualisation, R and RShiny programming

Make an appointment

How to reach us

contact form

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.