2018 was a great year for The Hyve, in which we set the first steps in supporting Open Targets. The Open Targets Platform was already on our radar as an interesting platform, Open Source, user-friendly and good-looking, the kind of platform we love[…]
Observational health data holds the power to provide new insights in the clinical field, but in a European network with varying data ontologies, data structures and IT-systems, this proves to be a challenging task. To tackle this issue, a shift in[…]
On Thursday 17th of January was the 4th HealthRI meeting, marking already four years of bringing together a number of Dutch health data research projects and infrastructure (such as CTMM TraIT, BBMRI, ELIXIR-NL, DTL, NFU etc.) under one umbrella[…]
Reflections on a collective exercise In these last two months our Data Warehouse team organized two user meetings around tranSMART and Glowing Bear: the first took place at the European i2b2 tranSMART Academic Users Group Conference in Geneva. The[…]
The Hyve can look back on a productive and prominent year for RADAR-base as we reached a number of important milestones. We have made significant improvements to the platform and many partners of RADAR-CNS have incorporated RADAR-base in their[…]
In a previous blog on Glowing Bear we highlighted its visualization features, based on data stored in the tranSMART 17.1 data warehouse. The advantage of Glowing Bear is that it allows users without any programming skills to perform queries and[…]
After already attending the first European OHDSI Symposium in March 2018, I now had the pleasure of visiting the annual symposium in Washington in October. Representing the Hyve together with Kees, we learned about all the developments going on in[…]
Why develop an identity and access management tool yourself, when a perfectly good solution is already available? In this blog we discuss what makes Keycloak such an attractive open-source tool and how it works with Glowing Bear and cBioPortal.
The RADAR-base platform collects a wealth of sensor data from smartphones and wearable devices. User-friendly and highly adaptable data visualisations help scientists to analyse the data at individual participant level or at study level.