APPLICATION AREA 02
Organizing research.
Connecting knowledge.
In institutes and research consortia, data is generated across various applications, teams, and facilities. We help document research processes in a transparent manner and link information in a meaningful way to facilitate shared use.
Conceptual Linkage of Research Information and Data Sources
CHALLENGES
When everyday work gets complicated.
Requirements vary from institution to institution. We encounter these challenges particularly often.
01
Separate Research Systems
Study data, sample information, and documents are managed in different specialized applications.
02
Collaboration Across Locations
Project partners need standardized terminology, data structures, and regulated access.
03
Reusing Data Later
Results should remain searchable, assignable, and usable for further analysis even after project phases have ended.
APPROACH
From existing processes to the right solution.
In research consortia, there is rarely a single software solution that can handle all tasks. It often makes more sense to keep specialized applications and integrate their data in a coordinated manner.
01
Analyze
Understanding Existing Systems and Data Flows
02
Structuring
Aligning Concepts, Rights, and Data Models
03
Connect
Implementing Interfaces and Data Paths
04
Benefits
Collaboratively analyze and share data
WHAT MEDEORA BRINGS TO THE TABLE
Leverage Existing Applications – Link Data in a Meaningful Way
BioARCHIVE can organize samples, cases, studies, and related documentation. When multiple systems or institutions are involved, we design appropriate integration and analysis solutions within the framework of the MEDEORA Data Network. This means that not every existing application needs to be replaced with a new one.
Studies & Samples
Interoperability
Research Networks
Data Quality
Research Documentation
Make meaningful connections between information from samples, cases, and studies.
Interoperability
Take system limitations and agreed-upon exchange formats into account during the design phase.
Collaborative Projects
Harmonize heterogeneous sources and create shared data sets.
The integration of specific third-party systems—such as an existing study EDC—will be evaluated and designed on a project-by-project basis; it is not guaranteed as a standard interface across the board.
CLARIFY DURING THE CONVERSATION
How well do your research data work together?
We'll discuss with you which applications should remain in use and where documentation, integration, or analysis can be improved.
