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Library Analytics and Metrics : Using Data to Drive Decisions and Services.

By: Material type: TextPublisher: London : Facet Publishing, 2015Copyright date: ©2015Edition: 1st edDescription: 1 online resource (208 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781783300778
Subject(s): Genre/Form: DDC classification:
  • 025.042
Online resources:
Contents:
Intro -- Title page -- Contents -- Figures and tables -- Contributors -- Acknowledgements -- Introduction: getting the measure of analytics and metrics -- C H A P T E R 1 Library data: big and small -- Chapter overview -- Defining big and small data -- Small and big data in libraries -- CASE STUDY 1.1 The potential of data to inform personalized recommendations at the Open University Library -- CASE STUDY 1.2 Library 'big data': developing a shared analytics service for academic libraries -- Chapter conclusion -- Big and small data: further resources -- References -- C H A P T E R 2 Data-driven collections management -- Chapter overview -- The collections turn -- Managing the local collection -- Managing the 'national' collection -- CASE STUDY 2.1 Building an analytics toolkit at the Harvard Library -- CASE STUDY 2.2 Collection management analytics: the Copac Collection Management tools project -- Chapter conclusion -- Data-driven collections management: further resources -- References -- C H A P T E R 3 Using data to demonstrate library impact and value -- Chapter overview -- Does library use have an impact on student success? -- Taking analytics seriously -- The ethics of impact -- CASE STUDY 3.1 Library impact data: investigating library use and student attainment (University of Huddersfield) -- CASE STUDY 3.2 Retention, student success and academic engagement at Minnesota (University of Minnesota) -- CASE STUDY 3.3 The Library Cube: revealing the impact of library use on student performance (University of Wollongong) -- Chapter conclusion: from knowing to showing! -- Library impact and value: further resources -- Notes -- References -- C H A P T E R 4 Going beyond the numbers: using qualitative research to transform thelibrary user's experience -- Chapter overview -- Qualitative research and the user experience.
Qualitative research and emerging user needs -- A mix of skills and methodologies -- CASE STUDY 4.1 Utilizing qualitative research methods to measure library effectiveness: developing an engaging library experience -- CASE STUDY 4.2 Ethnographic techniques and new visions for libraries -- Chapter conclusion -- Qualitative library research: further resources -- Note -- References -- C H A P T E R 5 Web and social media metrics for the cultural heritage sector -- Chapter overview -- Web metrics and analytics in the cultural heritage sector -- The social web -- The future of web metrics -- CASE STUDY 5.1 The web impact of cultural heritage institutions -- CASE STUDY 5.2 Let's Get Real: a Journey Towards Understanding and Measuring Digital Engagement -- Chapter conclusion -- Web and social and media metrics: further resources -- References -- C H A P T E R 6 Understanding and managing the risks of analytics -- Chapter overview -- Redrawing the boundaries of privacy -- Whose data is it anyway? -- The importance of data flows -- CASE STUDY 6.1 The legal, risk and ethical aspects of analytics -- Chapter conclusion -- Understanding the risks of analytics: further resources -- References -- C H A P T E R 7 Conclusion: towards a data-driven future? -- Reference -- Index.
Summary: This book will enable libraries to make informed decisions, develop new services and improve user experience by collecting, analysing and utilising data.
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Intro -- Title page -- Contents -- Figures and tables -- Contributors -- Acknowledgements -- Introduction: getting the measure of analytics and metrics -- C H A P T E R 1 Library data: big and small -- Chapter overview -- Defining big and small data -- Small and big data in libraries -- CASE STUDY 1.1 The potential of data to inform personalized recommendations at the Open University Library -- CASE STUDY 1.2 Library 'big data': developing a shared analytics service for academic libraries -- Chapter conclusion -- Big and small data: further resources -- References -- C H A P T E R 2 Data-driven collections management -- Chapter overview -- The collections turn -- Managing the local collection -- Managing the 'national' collection -- CASE STUDY 2.1 Building an analytics toolkit at the Harvard Library -- CASE STUDY 2.2 Collection management analytics: the Copac Collection Management tools project -- Chapter conclusion -- Data-driven collections management: further resources -- References -- C H A P T E R 3 Using data to demonstrate library impact and value -- Chapter overview -- Does library use have an impact on student success? -- Taking analytics seriously -- The ethics of impact -- CASE STUDY 3.1 Library impact data: investigating library use and student attainment (University of Huddersfield) -- CASE STUDY 3.2 Retention, student success and academic engagement at Minnesota (University of Minnesota) -- CASE STUDY 3.3 The Library Cube: revealing the impact of library use on student performance (University of Wollongong) -- Chapter conclusion: from knowing to showing! -- Library impact and value: further resources -- Notes -- References -- C H A P T E R 4 Going beyond the numbers: using qualitative research to transform thelibrary user's experience -- Chapter overview -- Qualitative research and the user experience.

Qualitative research and emerging user needs -- A mix of skills and methodologies -- CASE STUDY 4.1 Utilizing qualitative research methods to measure library effectiveness: developing an engaging library experience -- CASE STUDY 4.2 Ethnographic techniques and new visions for libraries -- Chapter conclusion -- Qualitative library research: further resources -- Note -- References -- C H A P T E R 5 Web and social media metrics for the cultural heritage sector -- Chapter overview -- Web metrics and analytics in the cultural heritage sector -- The social web -- The future of web metrics -- CASE STUDY 5.1 The web impact of cultural heritage institutions -- CASE STUDY 5.2 Let's Get Real: a Journey Towards Understanding and Measuring Digital Engagement -- Chapter conclusion -- Web and social and media metrics: further resources -- References -- C H A P T E R 6 Understanding and managing the risks of analytics -- Chapter overview -- Redrawing the boundaries of privacy -- Whose data is it anyway? -- The importance of data flows -- CASE STUDY 6.1 The legal, risk and ethical aspects of analytics -- Chapter conclusion -- Understanding the risks of analytics: further resources -- References -- C H A P T E R 7 Conclusion: towards a data-driven future? -- Reference -- Index.

This book will enable libraries to make informed decisions, develop new services and improve user experience by collecting, analysing and utilising data.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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