Data management and quality assurance in a population study

Zbigniew M. Wawrzyniak; Daniel Paczesny

doi:10.1117/12.2001454

15 October 2012 Data management and quality assurance in a population study

Zbigniew M. Wawrzyniak, Daniel Paczesny

Proceedings Volume 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012; 84541O (2012) https://doi.org/10.1117/12.2001454
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 2012, Wilga, Poland

Abstract

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 measurements.

Citation Download Citation

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 (15 October 2012); https://doi.org/10.1117/12.2001454

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available