OFFERING A PATTERN FOR DIGITAL REFERENCE DESK FOR IRANIAN UNIVERSITY LIBRARIES BASED ON THE CONTENT ANALYSIS OF DIGITAL REFERENCE DESK OF THE TOP WORLD UNIVERSITIES

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NOOSHINFARD F.; ESMAEILZADEH A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Paper Information

Journal: JOURNAL OF EPISTEMOLOGY (LIBRARY AND INFORMATION SCIENCE AND INFORMATION TECHNOLOGY) Year:2011 | Volume:3 | Issue:12 Page(s): 99-116

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Title

OFFERING A PATTERN FOR DIGITAL REFERENCE DESK FOR IRANIAN UNIVERSITY LIBRARIES BASED ON THE CONTENT ANALYSIS OF DIGITAL REFERENCE DESK OF THE TOP WORLD UNIVERSITIES

Author(s)

NOOSHINFARD F. | ESMAEILZADEH A. | Issue Writer Certificate

Keywords

DIGITAL REFERENCE DESK MODELQ3

CONTENT ANALYSISQ2

IRANIAN ACADEMIC LIBRARIESQ2

DIGITAL REFERENCEQ3

Abstract

Purpose: By using CONTENT ANALYSIS of DIGITAL REFERENCE desk of the world superior universities, the current study aims to provide a model for DIGITAL REFERENCE desk of Iran university libraries.Methodology: DIGITAL REFERENCE desk of 16 world top universities were examined by applying CONTENT ANALYSIS and after removal of matches and Synonyms, a total of 30 features were extracted which through the Delphi method experts were poll about them. Finally, imposing a minimum average of 4, 26 features were selected in order to apply in designing the reference desk in the proposed model. Meanwhile 13 Iranian university libraries which had DIGITAL REFERENCE desk were examined by using above mentioned list.Findings: Results showed that five substantive features "user name, phone number, email address, user questions, to questions submitted by telephone, mail, interview (verbal communication) " 100 percent with the highest percentage and two feature content "fax number, username and password provided by the library user access to information that have large volumes" with 12.5 percent of the lowest percentage in all of DIGITAL REFERENCE desk was the world’s top academic libraries. Two features "of DIGITAL REFERENCE desk Guide" and "User FAQ" with mean 4.80 and features the highest average "User Address" mean 3.47 lowest in importance among the features selected for the reference desk has.Conclusion: According to research findings, it can be inferred that such a very small percentage of university libraries in Iran have a DIGITAL REFERENCE desk and this number also in terms of having content characteristics are not in good condition. Hence it is necessary That university libraries starting DIGITAL REFERENCE desk so that users can benefit the broader library services.

Cites

A STUDY ON THE DIGITAL REFERENCE DESK CONTENT IN THE CENTRAL LIBRARIES OF TOP UNIVERSITIES AFFILIATED TO THE MINISTRY OF SCIENCE, RESEARCH AND TECHNOLOGY

References

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APA: Copy

NOOSHINFARD, F., & ESMAEILZADEH, A.. (2011). OFFERING A PATTERN FOR DIGITAL REFERENCE DESK FOR IRANIAN UNIVERSITY LIBRARIES BASED ON THE CONTENT ANALYSIS OF DIGITAL REFERENCE DESK OF THE TOP WORLD UNIVERSITIES. JOURNAL OF EPISTEMOLOGY (LIBRARY AND INFORMATION SCIENCE AND INFORMATION TECHNOLOGY), 3(12), 99-116. SID. https://sid.ir/paper/193397/en

Vancouver: Copy

NOOSHINFARD F., ESMAEILZADEH A.. OFFERING A PATTERN FOR DIGITAL REFERENCE DESK FOR IRANIAN UNIVERSITY LIBRARIES BASED ON THE CONTENT ANALYSIS OF DIGITAL REFERENCE DESK OF THE TOP WORLD UNIVERSITIES. JOURNAL OF EPISTEMOLOGY (LIBRARY AND INFORMATION SCIENCE AND INFORMATION TECHNOLOGY)[Internet]. 2011;3(12):99-116. Available from: https://sid.ir/paper/193397/en

IEEE: Copy

F. NOOSHINFARD, and A. ESMAEILZADEH, “OFFERING A PATTERN FOR DIGITAL REFERENCE DESK FOR IRANIAN UNIVERSITY LIBRARIES BASED ON THE CONTENT ANALYSIS OF DIGITAL REFERENCE DESK OF THE TOP WORLD UNIVERSITIES,” JOURNAL OF EPISTEMOLOGY (LIBRARY AND INFORMATION SCIENCE AND INFORMATION TECHNOLOGY), vol. 3, no. 12, pp. 99–116, 2011, [Online]. Available: https://sid.ir/paper/193397/en

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