Data clean-up and management : a practical guide for librarians /

Data use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and pres...

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Bibliographic Details
Main Author: Hogarth, Margaret
Corporate Author: ScienceDirect (Online service)
Other Authors: Furuta, Kenneth
Format: eBook
Language:English
Published: Oxford : Chandos Publishing, 2012.
Series:Chandos information professional series.
Subjects:
Online Access:Connect to the full text of this electronic book

MARC

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245 1 0 |a Data clean-up and management :  |b a practical guide for librarians /  |c Margaret Hogarth with contributions from Kenneth Furuta. 
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504 |a Includes bibliographical references (pages 527-531) and index. 
505 0 |a Introduction (why this book is needed) -- Commonalities -- Defining data -- Types of data issues -- Microsoft Excel techniques -- Data clean-up in Excel -- Excel: combining data -- Additional tools -- Access techniques -- Access forms -- Access reports -- Access queries -- Data clean-up in Access -- Access -- combining data -- Strategies for missing data -- Qualitative data -- ROI -- Data collection and analysis -- Data quality policy -- Next steps. 
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520 |a Data use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and presentation, and offer guidelines and recommendations for a data quality policy. The book gives step-by-step how-to directions for common dirty data issues. Focused towards libraries and practicing librariansDeals with practical, real-life issues and addresses common problems that all libraries faceOffers cradle-to-grave treatment for preparing and using data, including download, clean-up, management, analysis and presentation. 
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