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List of contents
Introduction: getting the measure of analytics and metrics Library analytics The street-light effect Learning analytics About this book Chapter summaries Analytics and metrics: a brief note on definitions References 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 - Richard Nurse CASE STUDY 1.2 Library ‘big data’: developing a shared analytics service for academic libraries - Ben Showers Chapter conclusion Big and small data: further resources References 2. Data-driven collections management Chapter overview The collections turn Managing the local collection Managing the ‘national’ collection CASE STUDY2.1 Building an analytics toolkit at the Harvard Library - Kim Dulin and Carli Spina CASE STUDY 2.2 Collection management analytics: the Copac Collection Management tools project - Shirley Cousins and Diana Massam Chapter conclusion Data-driven collections management: further resources References 3. Using data to demonstrate library impact and value Chapter overview Does library use have an impact on student success? The analytics turn in libraries The ethics of impact CASE STUDY 3.1 Library impact data: investigating library use and student attainment - Graham Stone CASE STUDY 3.2 Retention, student success and academic engagement at Minnesota - Shane Nackerud, Jan Fransen, Kate Peterson and Kristen Mastel CASE STUDY 3.3 The Library Cube:revealing the impact of library use on student performance - Brian Cox and Margie Jantti Chapter conclusion: from knowing to showing! Library impact and value: further resources Notes References 4. Going beyond the numbers: using qualitative research to transform the library user 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 - Lynn Silipigni Connaway, Erin M. Hood and Carrie E. Vass CASE STUDY 4.2 Ethnographic techniques and new visions for libraries - Donna Lanclos Chapter conclusion Qualitative library research: further resources Note References 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 - David Stuart CASE STUDY 5.2 'Let’s Get Real': A Journey Towards Understanding and Measuring Digital Engagement - Sejul Malde, Jane Finnis, Anra Kennedy, Elena Villaespesa, Seb Chan and Mia Ridge Chapter conclusion Social and media metrics: further resources References 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 - Ian Chowcat, David Kay and Naomi Korn Chapter conclusion Understanding the risks of analytics: further resources References 7. Conclusion: towards a data-driven future? References
About the author
Ben Showers is a Digital Transformation Manager at the Cabinet Office. Previously Ben worked at Jisc where he was Head of Scholarly and Library Futures working on projects that included a shared library analytics service, as well as projects exploring the future of library systems, digital libraries, usability and digitization.
Summary
This book will enable libraries to make informed decisions, develop new services and improve user experience by collecting, analysing and utilising data.
