News

Departmental license for researchers at the AMC, Anesthesiology Department

Through departmental licenses, an entire academic department can enable their researchers to run studies within Castor EDC. The Academisch Medisch Centrum (Academic Medical Center of the University of Amsterdam), Department of Anesthesiology recently signed a department license for its researchers and we spoke to them shortly after their kick-off training event.

Investigation of Hepatitis C prevalence in Belgium – PrevER-trial

A leading cause of chronic liver disease is hepatitis C viral infection (HCV), unfortunately prevalence data in Belgium are seriously outdated. The PrevER-trial is including 3000 participants within a 4-month period with two individuals working on data collection.

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Global multicenter observational investigator initiated study – DIANA Study, UGhent

The DIANA study is a large multicenter cohort study, lead by intensive care unit experts out of the University Hospital Ghent. This investigator initiated study will collect a large amount of data from multiple centers and provide insight into the use of antibiotics in the Intensive Care Unit from around the world.

How we chose the winner for our survey using R

Some time ago we ran a survey to find out why people had stopped using Castor. In this blog post I will explain how to write an R script to randomly pick one user from a group, while I also share some of the results of the survey.

Glasgow mini-seminar about the future of FAIR data sharing

Castor EDC has recently been approved as a vendor by the Glasgow University NHS R&D department. To celebrate this we are organizing a mini-seminar on ‘’The future of data standardization and sharing in clinical research’’ by our CEO: Derk Arts (MD, PhD). The mini-seminar will take place at the Queen Elizabeth University Hospital in Glasgow, UK on the 7th of December.

Castor is Committed to Scalable FAIR Data

We want to become a pioneering player in the field of Open Science by making every dataset in Castor EDC FAIR: Findable, Accessible, Interoperable and Reusable. By enabling FAIR data at scale, researchers can easily make their clinical research data available for the entire research community.

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