| Description |
1 online resource (xxxi, 176 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
Title page; Contents; Figures and tables; Contributors; Acknowledgements; Introduction: getting the measure of analytics and metrics; Chapter 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; Chapter 2. Data-driven collections management. |
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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; Chapter 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. |
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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 hapter 4. Going beyond the numbers: using qualitative research to transform thelibrary user's experience; Chapter overview. |
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Qualitative research and the user experienceQualitative 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; Chapter 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. |
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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; Chaper 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. |
| Summary |
This book will enable libraries to make informed decisions, develop new services and improve user experience by collecting, analysing and utilising data. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Web usage mining.
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Web usage mining. |
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Libraries -- Evaluation.
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Libraries -- Evaluation. |
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Library statistics.
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Library statistics. |
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Bibliometrics.
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Bibliometrics. |
| Genre/Form |
Electronic books.
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| Added Author |
Showers, Ben, editor.
|
| Other Form: |
Print version: Library analytics and metrics. London : Facet Publishing, 2015 9781856049658 (OCoLC)908146392 |
| ISBN |
9781783300778 (electronic book) |
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1783300779 (electronic book) |
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9781856049658 (paperback) |
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1856049655 (paperback) |
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