Secondary analysis of existing data: opportunities and implementation
By Hui G. Cheng, M. Phillips. Shanghai Archives of Psychiatry, 2014
399 citations recorded by the source corpus.
Summary The secondary analysis of existing data has become an increasingly popular method of enhancing the overall efficiency of the health research enterprise. But this effort depends on governments, funding agencies, and researchers making the data collected in primary research studies and in health-related registry systems available to qualified researchers who were not involved in the original research or in the creation and maintenance of the registry systems. The benefits of doing this are clear but the barriers are many, so the effort of increasing access to such material has been slow, particularly in low- and middleincome countries. This article introduces the rationale and concept of the secondary analysis of existing data, describes several sources of publicly available datasets, provides general guidelines for conducting secondary analyses of existing data, and discusses the advantages and disadvantages of analyzing existing data.
Subfields: Geriatrics and Gerontology, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f7cc15f43edd8834d53aba3376ca8050e36b11a0
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In Geriatrics and Gerontology
In Management Science and Operations Research
In Sociology and Political Science
Citations in the corpus
- Quantitative Research: A Successful Investigation in Natural and Social Sciences (2020, background): “Some reliable sources of existing data are [Cheng & Phillips, 2014; Doolan et al., 2017]: The World Health Organization (WHO) Global Health Observatory Data Repository, Behavioral Risk Factor Surveillance System, the Mayo Clinic, National Center for Education Statistics, Health Metrics and…”