Science & Technology Corporation

Science & Technology Corporation
Olof Palmestraat
Post Code
The Netherlands
Business Phone Number
+31 152629889
Business Email
Business Website Address
Github repository
Year of Certification
Work Languages
English, Dutch
OHDSI Software and Tools, OMOP CDM ETL, OMOP Standardized Vocabularies
Experience with health data translation

Experience with health data translation has been obtained from work outside S[&]T. Erik van Mulligen has been working with large health data sets in (European) projects (eTransafe, IPCI, etc.). Furthermore, S[&]T has supported its subsidiary Euretos with support in mapping large data sets to a common vocabulary (not to OMOP common data model).

Other expertise

S[&]T has over 20 years of reputation in the field of earth observation data (in particular for ESA and EUMETSAT). This involves different data processing steps (acquisition, validation, processing, presentation) on a 24 * 7 basis. This requires robust, reliable, monitored services that process the data stream. S[&]T developed a semantic text mining product that uses standardized vocabularies to harmonize textual data. S[&]T also has experience with sensitive data and many employees of S[&]T have a NATO or defense clearance.