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|a UAMI
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245 |
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|a Library analytics and metrics :
|b using data to drive decisions and services /
|c edited by Ben Showers.
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264 |
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1 |
|a London :
|b Facet Publishing,
|c [2015]
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264 |
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4 |
|c ©2015
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300 |
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|a 1 online resource (xxxi, 176 pages) :
|b illustrations
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336 |
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|a text
|b txt
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|a online resource
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|a Print version record.
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|a Includes bibliographical references and index.
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|a 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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|a 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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505 |
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|a 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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505 |
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|a 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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|a 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.
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520 |
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|a This book will enable libraries to make informed decisions, develop new services and improve user experience by collecting, analysing and utilising data.
|
590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
|
0 |
|a Web usage mining.
|
650 |
|
0 |
|a Libraries
|x Evaluation.
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650 |
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0 |
|a Library statistics.
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650 |
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0 |
|a Bibliometrics.
|
650 |
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6 |
|a Analyse du comportement des internautes.
|
650 |
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6 |
|a Bibliothèques
|x Évaluation.
|
650 |
|
6 |
|a Bibliothèques
|x Statistiques.
|
650 |
|
6 |
|a Bibliométrie.
|
650 |
|
7 |
|a COMPUTERS
|x Computer Literacy.
|2 bisacsh
|
650 |
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7 |
|a COMPUTERS
|x Computer Science.
|2 bisacsh
|
650 |
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7 |
|a COMPUTERS
|x Data Processing.
|2 bisacsh
|
650 |
|
7 |
|a COMPUTERS
|x Hardware
|x General.
|2 bisacsh
|
650 |
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7 |
|a COMPUTERS
|x Information Technology.
|2 bisacsh
|
650 |
|
7 |
|a COMPUTERS
|x Machine Theory.
|2 bisacsh
|
650 |
|
7 |
|a COMPUTERS
|x Reference.
|2 bisacsh
|
650 |
|
7 |
|a Bibliometrics
|2 fast
|
650 |
|
7 |
|a Libraries
|x Evaluation
|2 fast
|
650 |
|
7 |
|a Library statistics
|2 fast
|
650 |
|
7 |
|a Web usage mining
|2 fast
|
650 |
1 |
7 |
|a Wetenschapsbeleid.
|2 gtt
|0 (NL-LeOCL)078959748
|
650 |
1 |
7 |
|a Natuurwetenschappen.
|2 gtt
|0 (NL-LeOCL)07860060X
|
650 |
1 |
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|a Bibliometrie.
|2 gtt
|0 (NL-LeOCL)078452465
|
700 |
1 |
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|a Showers, Ben,
|e editor.
|
776 |
0 |
8 |
|i Print version:
|t Library analytics and metrics.
|d London : Facet Publishing, 2015
|z 9781856049658
|w (OCoLC)908146392
|
856 |
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