In this paper we present a model for effective methods of data collection with intensive data quality control and data
security and design and deployment of management ICT system to ensure high quality-data in large scale population
study. The designed and tested system fulfill all the requirements of entire IT and data management structure is designed
with central server and web-based peripheral applications and tailored software managing data during
entry/transmission/storage/coding under control of the QA and security procedures. The system was carried out during
PONS project and the information from this model data management structure may improve the design of reliable
databases’ management for large-scale epidemiological studies.
The project model itself by tailored hardware/software application shows positive impact of QA on the quality of
outcomes in outcome analysis results, effective data management with shorter time, efficiency, ensuring the quality of
epidemiological data and indicators of health with elimination of common errors of research questionnaire and medical
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Zbigniew M. Wawrzyniak and Daniel Paczesny
Data management and quality assurance in a population study
", Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 84541O (October 15, 2012); doi:10.1117/12.2001454; http://dx.doi.org/10.1117/12.2001454