look_inside
Library Analytics and Metrics

Apr 2015 | 224pp

Paperback
9781856049658
Price: £49.95
CILIP members price: £39.96

Order at Bookpoint:
phone +44 (0)1235 827702
email facet@bookpoint.co.uk
fax +44 (0)1235 827703

eBook (PDF)
9781783300778
How to buy eBooks turqoise_arrow


Share this page


Join our mailing list

Library Analytics and Metrics
Using data to drive decisions and services

Edited by Ben Showers

This book will inform and inspire librarians, archivists, curators and technologists to make better use of data to help inform decision-making, the development of new services and the improvement of the user experience.

With the wealth of data available to library and cultural heritage institutions, analytics are the key to understanding their users and improving the systems and services they offer. Using case studies to provide real-life examples of current developments and services, and packed full of practical advice and guidance for libraries looking to realize the value of their data, this will be an essential guide for librarians and information professionals.

Library Analytics and Metrics brings together a group of internationally recognized experts to explore some of the key issues in the exploitation of data analytics and metrics in the library and cultural heritage sectors, including:

  • The role of data in helping inform collections management and strategy
  • Approaches to collecting, analyzing and utilizing data
  • Using analytics to develop new services and improve the user experience
  • Using ethnographic methodologies to better understand user behaviours
  • The opportunities of library data as ‘big data’
  • The role of ‘small data’ in delivering meaningful interventions for users
  • Practical advice on managing the risks and ethics of data analytics
  • How analytics can help uncover new types of impact and value for institutions and organizations.  

Readership: This book will be an invaluable resource for librarians and library directors interested in developing a data-driven approach to their service provision and decision making; students on library and information science courses; and managers and practitioners in other cultural heritage sectors such as museums, archives and galleries.

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

"I would heartily recommend the book to all professional librarians, but also to educators, as it provides good examples not only of data usage, but also of critical thinking."
- Information Research

"In this collection of theory and best practices, Showers gathers international experts on library analytics and metrics to inform information professionals of the myriad ways in which data can drive good decision making and enhance services. Each chapter provides an overview of some of the main themes surrounding analytics and the development of metrics such as big (and small) data, collection management, social media metrics, and demonstrating library impact and value. At the core of each section are real-life examples of data-driven decisions based on current library scenarios. This approach sets the text apart from other publications on the subject, and readers will be aided by the practical advice. VERDICT Relevant to library directors and administrators of cultural heritage institutions looking to create a data-driven approach to decision making and the development of services. A valuable resource for anyone who serves as a liason to faculty and students along with those who manage library systems and services."
- Library Journal

"...a great, varied and in-depth look at the current usage of analytics and metrics in the library sector and there are some valuable case studies captured that will hopefully help inform those undertaking their own data-driven projects or facing pressure to provide impact or usage evidence to their organisations."
– MmIT Journal

"...In addition to Showers' brief yet thorough introduction to the topic and his concise chapter summaries, a strength of this book is the methodologies and lessons the reader learns from the case studies."
- Library & Information Science Research

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.

 

1. Library data: big and small

This chapter explores the definitions of these increasingly popular terms and provides a clear understanding of the differences between them and of the kinds of opportunities that they present to libraries and cultural heritage institutions. While big data captures much of the headlines, it is of little use if we can’t get the ‘small data’ of our systems and services up to scratch.

2. Data-driven collections management

This chapter delves into some of the developments currently taking place in the library sector to exploit the potential of analytics so as to help drive informed decisions about the purchase of materials, usage and collections management and opportunities to extend the impact of the library into new
domains.

3. Using data to demonstrate library impact and value

Analytics are increasingly being used to uncover new insights and demonstrate new types of value and impact for libraries and their institutions. This chapter explores some of the current opportunities that institutions are exploiting through the use of analytics, and the innovative services and tools they are developing.

4. Going beyond the numbers: using qualitative research to transform the library user’s experience

While much of the buzz around data and analytics is inevitably about the quantitative ‘big data’, the role of qualitative data in informing decisions is critical. This chapter explores the many ways in which institutions and researchers are capturing this kind of data and the kinds of insights it is providing.

5. Web and social media metrics for the cultural heritage sector

This chapter explores the potential of web analytics for cultural heritage institutions. The increasingly social nature of the web, and in particular the sharing and discovery of content and resources, makes this is a critical area for any cultural institution to understand.

6. Understanding and managing the risks of analytics

This chapter explores the legal and ethical risks of analytics and provides best practice and practical examples for how they can be met and managed.

7. Conclusion: towards a data-driven future?

A peek into the future: given the current work and developments that are taking place within cultural heritage institutions and organizations, how might such developments change the cultural landscape over the next five to ten years? What might a data-driven future look like?