| Description |
1 online resource (xxxi, 176 pages) : illustrations |
| Note |
Description based on print version record. |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
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 |
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Chapter overviewThe 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 |
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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 H A P T E R 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; 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 |
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The future of web metricsCASE 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 |
| Summary |
This book will enable libraries to make informed decisions, develop new services and improve user experience by collecting, analysing and utilising data. |
| Subject |
Libraries -- Evaluation.
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Library statistics.
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Web usage mining.
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Bibliometrics.
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COMPUTERS / Computer Literacy.
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COMPUTERS / Computer Science.
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COMPUTERS / Data Processing.
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COMPUTERS / Hardware / General.
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COMPUTERS / Information Technology.
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COMPUTERS / Machine Theory.
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COMPUTERS / Reference.
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Bibliometrics. (OCoLC)fst00831408
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Libraries -- Evaluation. (OCoLC)fst00997397
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Library statistics. (OCoLC)fst00997999
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Web usage mining. (OCoLC)fst01173271
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Wetenschapsbeleid. (NL-LeOCL)078959748
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Natuurwetenschappen. (NL-LeOCL)07860060X
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Bibliometrie. (NL-LeOCL)078452465
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| Added Author |
Showers, Ben, editor.
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| Other Form: |
Print version: Library analytics and metrics. London : Facet Publishing, 2015 9781856049658 (OCoLC)908146392 |
| ISBN |
9781783300778 (electronic bk.) |
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1783300779 (electronic bk.) |
