An Examination of Using Documented Library Data in Persian Wikis

Document Type : Original Article

Authors

1 M.A, Ahlulbayt World Assembly

2 . PhD of Information science and knowledge management at Kharazmi University

Abstract

The aim of this study is to examine the use of documented library data in WikiShia. The study is descriptive and the method is based on library research and analysis of content. The statistical population includes all the entries of the individuals in Persian WikiShia. Since we did not have the accurate number of the entries and then more entries were added, 100-sample size of sampling method and stratified random sampling was chosen. Then based on purposive sampling, six documented library databases were selected and the entries of individuals of WikiShia were searched in them, the results were analyzed through SPSS software.
The findings indicate that 88 percent of the information from the examined entries are located in the documented library database which National Library of Iran Documents Bank, Virtual International Authority File, International Standard Name Number, have the highest frequency percentage. In addition, the information of more than half of these entries exists in more than five examined databases. The highest mean is for Virtual International Authority File and lowest mean for National Library of Iran Documents Bank and since alpha error of the test is zero, then the difference between the mean of documented databases and the entries of WikiShia individuals in confidence level of 95 percent is significant. The relationship between the documented library lists and WikiShia, in addition to highlighting the libraries resources better and increasing the scientific credit of WikiShia papers, provides a model to use in other databases and a method for cooperation between libraries and Wikis as well as moving towards semantic web.

Keywords

References

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Islamic Knowledge Management
Volume 1, Issue 1 - Serial Number 1
August 2019
Pages 129-144

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History

  • Receive Date: 05 August 2019
  • Accept Date: 05 August 2019

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