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Documentation evaluation model for social science data

โœ Scribed by Jinfang Niu; Margaret Hedstrom


Publisher
Wiley (John Wiley & Sons)
Year
2009
Tongue
English
Weight
64 KB
Volume
45
Category
Article
ISSN
0044-7870

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โœฆ Synopsis


Abstract

Information technology and data sharing policies have made more and more social science data available for secondary analysis. In secondary data analysis, documentation plays a critical role in transferring knowledge about data from data producers to secondary users. Despite its importance, documentation of social science data has rarely been the focus of existing studies. In this paper, based on an introduction of the concept of documentation and its role in secondary data analysis, the authors proposed the Documentation Evaluation Model(DEM) for social science data. In the model, two indicators are used to evaluate the documentation for social science data: sufficiency and easeโ€ofโ€use. Then the authors review the sufficiency problems of documentation, identify three factors that affect the sufficiency of documentation: users, data, and the easeโ€ofโ€use of documentation, and formulate hypotheses about how those factors affect the sufficiency of documentation. In future research, a survey instrument will be created based on the model and the factors affecting the sufficiency of documentation. The survey instrument will then be applied to the secondary users of social science data. Hypotheses will be tested based on the survey data.


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Parallel-processing applications for dat
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We examine parallel-processing applications to the analysis of large data sets typically used in social science research. Our research uses a parallel environment which makes it possible to have 1024 processors working simultaneously on a problem. The application is tested using various codgurations