MEDEORA Data Network
Creating knowledge.
We integrate data from laboratories and research institutions, harmonize it on a shared platform, and make it available for use in research, public health, and the life sciences.
Existing laboratory and information systems can continue to be used .
Your data is already there.
They're just scattered around.
Every day, laboratories and research institutions generate valuable data . However, this data is often scattered across various locations, systems, and data formats.
Simply combining them does not, in and of itself, create a usable information base . Data must be imported in a structured manner, standardized, verified, and managed on an ongoing basis.
Only then can a data network be created that makes developments visible and makes data usable for research, monitoring, and decision-making.
From Distributed Data Sources to a Unified View.
Existing systems do not need to be replaced. The MEDEORA Data Network connects data sources, harmonizes information, and makes it centrally available for analysis and visualization.
Data Sources LIMS, LIS, Files, Databases, and Interfaces
Harmonization Mapping, Terminology, Units, and Quality Rules
s Data Platform Core Technical Infrastructure of the Data Network
Visualization Dashboards, GIS, Trends, and Reports
Decision Research, Public Health, Pharmaceuticals, and Life Sciences
A data network only works— —if it functions reliably over the long term.
MEDEORA has nearly two decades of experience in the technical and organizational operation of distributed laboratory data networks.
The Clinical Virology Network continuously collects data from participating laboratories, processes it, and makes it available for scientific and epidemiological analyses.
Information based on publicly documented data from the Clinical Virology Network ( ).
From the individual laboratory to a shared epidemiological picture.
The CVN provides a practical demonstration of the components that must work together to ensure a long-term, functional data network .
Laboratory data is used to build an epidemiological picture.
Consolidated data can be analyzed geographically, chronologically, and according to subject-specific criteria. The Clinical Virology Network uses, among other tools, interactive ArcGIS dashboards for this purpose.
Technology alone is not enough.
The technical platform is only one part of a successful data network.
Data sources must be connected, formats must be standardized, data quality must be monitored , and participating institutions must be supported on an ongoing basis .
That is why the MEDEORA Data Network combines technology, data integration, visualization , and long-term project operations.
For projects that make data from many sources available for shared use.
Pharmaceuticals &
Life Sciences
Data infrastructures for epidemiological projects, observational studies, medical affairs, surveillance, and research collaborations.
Public
al Health
Data networks for surveillance, infection monitoring, sentinel systems , and regional and temporal analyses.
Research Networks
Shared data infrastructures for research consortia, universities, multicenter projects, and biobanks.
, and IVD Diagnostics
Consolidation of reference, validation, research, and surveillance data across multiple sites.
From an idea to a permanently operational data network.
Technical Basis
MEDEORA Data Platform, data storage, user and permissions management, hosting, reporting, and interfaces.
Establishment of the Network
Data model, data sources, interfaces, mapping, harmonization, quality rules, dashboards, and participant onboarding.
Ongoing Operations
Monitoring, data imports, data quality, Support, user support, Updates and further development.
MEDEORA Data Platform
The MEDEORA Data Platform forms the technical backbone of the Data Network.
It handles the structured storage and management of incoming data and provides functions for flexible data models, user and rights management, traceability, interfaces, and reporting.
The platform can be customized on a project-by-project basis to accommodate various data sources and technical requirements at . Existing laboratory, research, and information systems can be integrated at without having to be replaced.
For analysis and visualization, established technologies such as ArcGIS ( ) and other reporting and analytics tools ( ) can be integrated.
Are you planning a project involving data from multiple laboratories or institutions?
Please contact us early on to discuss your project. Together, we’ll clarify data sources, the data model, interfaces, harmonization, visualization , and the network’s future operation.
