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Secondary analysis of existing data: opportunities and implementation

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-relat...

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Detalles Bibliográficos
Autores principales: CHENG, Hui G, PHILLIPS, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai Municipal Bureau of Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311114/
https://www.ncbi.nlm.nih.gov/pubmed/25642115
http://dx.doi.org/10.11919/j.issn.1002-0829.214171
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author CHENG, Hui G
PHILLIPS, Michael R.
author_facet CHENG, Hui G
PHILLIPS, Michael R.
author_sort CHENG, Hui G
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description 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.
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spelling pubmed-43111142015-01-30 Secondary analysis of existing data: opportunities and implementation CHENG, Hui G PHILLIPS, Michael R. Shanghai Arch Psychiatry Research Methods in Psychiatry 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. Shanghai Municipal Bureau of Publishing 2014-12 /pmc/articles/PMC4311114/ /pubmed/25642115 http://dx.doi.org/10.11919/j.issn.1002-0829.214171 Text en Copyright © 2014 by Shanghai Municipal Bureau of Publishing http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Research Methods in Psychiatry
CHENG, Hui G
PHILLIPS, Michael R.
Secondary analysis of existing data: opportunities and implementation
title Secondary analysis of existing data: opportunities and implementation
title_full Secondary analysis of existing data: opportunities and implementation
title_fullStr Secondary analysis of existing data: opportunities and implementation
title_full_unstemmed Secondary analysis of existing data: opportunities and implementation
title_short Secondary analysis of existing data: opportunities and implementation
title_sort secondary analysis of existing data: opportunities and implementation
topic Research Methods in Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311114/
https://www.ncbi.nlm.nih.gov/pubmed/25642115
http://dx.doi.org/10.11919/j.issn.1002-0829.214171
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