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Organizational aspects and implementation of data systems in large-scale epidemiological studies in less developed countries

Ali, Mohammad, Park, Jin-Kyung, von Seidlein, Lorenz, Acosta, Camilo J., Deen, Jacqueline L. and Clemens, John D. (2006). Organizational aspects and implementation of data systems in large-scale epidemiological studies in less developed countries. BMC Public Health,6(1):86-98.

Document type: Journal Article
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Title Organizational aspects and implementation of data systems in large-scale epidemiological studies in less developed countries
Author Ali, Mohammad
Park, Jin-Kyung
von Seidlein, Lorenz
Acosta, Camilo J.
Deen, Jacqueline L.
Clemens, John D.
Journal Name BMC Public Health
Publication Date 2006
Volume Number 6
Issue Number 1
ISSN 1471-2458   (check CDU catalogue  open catalogue search in new window)
Start Page 86
End Page 98
Total Pages 13
Place of Publication United Kingdom
Publisher BioMed Central Ltd.
Abstract Background: In the conduct of epidemiological studies in less developed countries, while great emphasis is placed on study design, data collection, and analysis, often little attention is paid to data management. As a consequence, investigators working in these countries frequently face challenges in cleaning, analyzing and interpreting data. In most research settings, the data management team is formed with temporary and unskilled persons. A proper working environment and training or guidance in constructing a reliable database is rarely available. There is little information available that describes data management problems and solutions to those problems. Usually a line or two can be obtained in the methods section of research papers stating that the data are doubly-entered and that outliers and inconsistencies were removed from the data. Such information provides little assurance that the data are reliable. There are several issues in data management that if not properly practiced may create an unreliable database, and outcomes of this database will be spurious.

Results: We have outlined the data management practices for epidemiological studies that we have modeled for our research sites in seven Asian countries and one African country.

Conclusion: Information from this model data management structure may help others construct reliable databases for large-scale epidemiological studies in less developed countries.
Keywords data management
aspects and implementation of data systems
large-scale epidemiological studies
less developed countries
DOI http://dx.doi.org/10.1186/1471-2458-6-86   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)


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Created: Mon, 26 Nov 2012, 17:01:28 CST by Teresa Haendel