Library Analytics and Metrics
Using data to drive decisions and services
1st Edition
Will be published approx. on 29. September 2017
Book
Hardback
224 pages
978-1-78330-292-5 (ISBN)
Description
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.
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.
Reviews / Votes
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 Library Analytics and Metrics is an excellent introduction to library analytics. It provides scope and context for emerging trends in the field and backs this up with case studies contributed by information professionals currently undertaking projects in libraries or cultural institutions in the US and UK. -- Emily Sanford * Library Resources & Technical Services *More details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Professional Practice & Development
Dimensions
Height: 237 mm
Width: 172 mm
Thickness: 17 mm
Weight
201 gr
ISBN-13
978-1-78330-292-5 (9781783302925)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
04/2015
1st Edition
Facet Publishing
€88.49
Available for download
Person
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.
Content
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
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