Library analytics and metrics : using data to drive decisions and services / edited by Ben Showers.
Contributor(s): Showers, Ben [editor.]Material type: TextPublisher: London : Facet Publishing, Copyright date: ©2015Description: 1 online resource (xxxi, 176 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781783300778; 1783300779Subject(s): Web usage mining | Libraries -- Evaluation | Library statistics | Bibliometrics | COMPUTERS -- Computer Literacy | COMPUTERS -- Computer Science | COMPUTERS -- Data Processing | COMPUTERS -- Hardware -- General | COMPUTERS -- Information Technology | COMPUTERS -- Machine Theory | COMPUTERS -- Reference | Bibliometrics | Libraries -- Evaluation | Library statistics | Web usage mining | Wetenschapsbeleid | Natuurwetenschappen | BibliometrieGenre/Form: Electronic books. Additional physical formats: Print version:: Library analytics and metrics.DDC classification: 004.120937745 LOC classification: TK5105.875.I57 | S384 2015Z669.8 | .L537 2015Online resources: Click here to access online
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Print version record.
Includes bibliographical references and index.
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.
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.
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.
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.
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.
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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