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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Research Electronic Data Capture (REDCap): tackling data collection, management, storage, and privacy challenges.
Liesbet Van Bulck1,2, Martien Wampers3, Philip Moons1,4,5
1KU Leuven Department of Public Health and Primary Care, KU Leuven - University of Leuven, Kapucijnenvoer 35, Box 7001, 3000 Leuven, Belgium.
High-quality clinical research data collection, management, and storage face increasing challenges. Research Electronic Data Capture (REDCap) offers a potential solution for these complex data hurdles.
Area of Science:
- Clinical Research
- Data Management
- Health Informatics
Background:
- Research relies heavily on data, making its quality paramount.
- Internationalization, complex study designs, and regulations increase data challenges.
- Effective data handling is crucial for research integrity and reproducibility.
Purpose of the Study:
- To outline common difficulties in clinical data collection, management, and storage.
- To introduce Research Electronic Data Capture (REDCap) as a solution.
- To highlight REDCap's utility in addressing modern research data needs.
Main Methods:
- Review of common challenges in clinical data handling.
- Introduction to the features and capabilities of REDCap.
- Discussion of REDCap's applicability to data management issues.
Main Results:
- Identified key challenges in data collection, management, and storage.
- Presented REDCap as a viable platform for addressing these challenges.
- Demonstrated the potential of REDCap to improve data quality and compliance.
Conclusions:
- Clinical data management faces significant, evolving challenges.
- REDCap provides a robust solution for secure and efficient data handling.
- Implementing REDCap can enhance the quality and reliability of research data.
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