Data Management

One of the major weaknesses of epidemiological research in general and public health surveillance in particular is poor data management. Data that have cost hundreds of thousands of dollars to collect go unanalysed because they have not be properly entered, cleaned or coded, or because data sets are too unwieldy to use. We have tried to respond to an immediate need by developing simple guidelines for data management, using commonly used Stata software. These guidelines are a small first step towards building better data management skills.


First Things First: Guidelines on management and coding of behavioural surveillance data (.pdf 568kb)
Family Health International, Bangkok, 2006

Detailed technical guidelines for data managers. Prepared at the request of the WHO/UNAIDS surveillance working group, these guidelines provide data managers with information on how to create datasets which will meet the needs of HIV prevention and care programme managers, so that surveillance data can easily be translated into improvements in services. They also contain useful information on questionnaire design and data entry.
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