Datico® Evidence Lab
Universities
Field reality meets research – with structured data.
NO SOLUTION FOR STRUCTURED, SYNCHRONOUS DATA COLLECTION IN RESEARCH SCENARIOS.
The problems at universities
In many university studies, robust systems for the standardized collection of physiological data from complex research environments are missing.
The simultaneous use of climate chambers, altitude chambers or cold chambers with participants and wearables often results in unsynchronized data volumes that are difficult to analyze.
Manually merging different data sources for statistical tools such as R or SPSS is time-consuming, error-prone and labor-intensive.
The technical infrastructure for data collection is frequently not designed for interoperability, data security or scientific documentation.
- No central control for chambers, sensors and wearables.
- Time-shifted, manually merged datasets.
- Technically isolated systems without data interfaces.
- High effort for data cleansing before statistical analysis.
- Lack of traceability in multiparametric experimental setups.
- Missing infrastructure for interdisciplinary research data models.
CONTROL AND ANALYZE CHAMBERS, WEARABLES AND DATA SOURCES IN SYNC.
The solution
The Datico® LIFE HUB combines structured data capture with central control of all components – from wearables to complex experimental environments such as altitude or climate chambers.
With Datico® Live Control, measurement processes can be synchronized in real time and study devices from different system worlds connected centrally.
The platform creates a unified data model from heterogeneous data sources – ideal for scientifically valid export formats for R, SPSS or MATLAB.
This creates an end-to-end data infrastructure for university research projects – proven in clinical practice and elite sport.
- Synchronized data capture from altitude, climate and cold chambers.
- Central capture and coordination of real-time physiological data.
- Full integration of wearables and diagnostic systems.
- Standardized exports for statistics tools such as R, SPSS, MATLAB.
- Unified data model for interdisciplinary research teams.
- GDPR-compliant, validated in clinical practice, sport and research.
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