In this page, you will find different use cases of our Health Data Infrastructure services. The three clients mentioned here include PMC, MCCA and DIFUTURE.
1. Research Suite for Prinses Máxima Center for Pediatric Oncology
The Hyve runs a series of services for Prinses Máxima Center (PMC) surrounding a system called the Central Subject Registry (CSR). The goal of the CSR is to provide researchers with an accessible and secure data warehouse, containing a de-identified summary set of data from all PMC patients. The CSR is based on tranSMART (clinical data resource) for finding cohorts of interest with the Glowing Bear user interface and on cBioPortal (visualization, analysis and download of cancer genomics data sets).
Moreover, the Hyve has built an automated ETL pipeline to transform and load PMC hospital data in the clinical and genomic data resources. Currently, querying on biosources and biomaterials data is being developed in the second PMC Glowing Bear project.
2. FAIR-Compliant IT Infrastructure for Mouse Clinic for Cancer and Aging research
The Netherlands Cancer Institute (NKI) and the European Research Institute for the Biology of Aging (ERIBA) have established a Mouse Clinic for Cancer and Aging research (MCCA). The aim of the MCCA is to accelerate cancer and aging research and to contribute to the theme of ‘healthy aging’.
The Hyve was consulted to create the IT infrastructure plan as part of the NWO application for MCCA extension.
In order to understand the MCCA business and the requirements of the desired IT infrastructure, we conducted interviews with stakeholders of different organizations and facilities (partners of MCCA consortium). Based on those requirements, business processes, data specifications and existing systems, we proposed a FAIR compliant IT infrastructure to capture and share data and wrote a 5-year implementation plan for the NWO application.
3. Research Infrastructure for Data Integration for Future Medicine consortium
DIFUTURE is one of the four consortia selected by German Ministry of Education and Research for funding during the development and networking phase in the Medical Informatics Initiative. The Hyve develops a research infrastructure that links and shares research data and clinical data to facilitate medical informatics researchers in the participating university medical centers.
The infrastructure consists of several primary clinical data warehouses (tranSMART), each for a specific clinical focus area, and linked subwarehouses for specific research projects.
We have developed the Docker scripts required for creating a data warehouse instance and a data loading component that transforms and loads a FHIR representation of the source data in the primary tranSMART data warehouse.Furthermore, we have developed a slicing tool that enables to select and copy a subset (slice) of the data from a source data warehouse to a target data warehouse. Currently, we are developing functionality that makes it possible to filter clinical data query results to only include data for patients for which specified variants are stored in a separate Variant Store.
For more details on the types of services we provide, please visit the Health Data Infrastructure solution page.
Please contact us if you want to discuss in more details about the use cases of Health Data Infrastructure as well as the specific situation of your organization. We are happy to help!