Library analytics and metrics using data to drive decisions and services
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,...
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| Format: | Buch |
| Sprache: | English |
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Facet Publ.
2015
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| Ausgabe: | 1. publ. |
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| 245 | 1 | 0 | |a Library analytics and metrics |b using data to drive decisions and services |c ed. by Ben Showers |
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| 520 | 3 | |a 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 | |
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Datensatz im Suchindex
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| adam_text | Titel: Library analytics and metrics
Autor: Showers, Ben
Jahr: 2015
Contents
List of figures and tables.............................................................................
Contributors............................................................................................xiii
Acknowledgements..............................................................................xxiii
Introduction: getting the measure of analytics and metrics ..................xxv
Library analytics.................................................................................................................xxv
The streetlight effect......................................................................................................xxvi
Learning analytics...........................................................................................................xxvii
About this book..............................................................................................................xxviii
Chapter summaries.......................................................................................................xxviii
Analytics and metrics: a brief note on definitions................................................xxix
References............................................................................................................................xxx
1 Library data: big and small..................................................................1
Chapter overview..................................................................................................................i
Defining big and small data..............................................................................................2
Small and big data in libraries..........................................................................................3
CASE STUDY 1.1 The potential of data to inform personalized
recommendations at the Open University Library...................................................5
fiichard Nurse
CASE STUDY 1.2 Library big data : developing a shared analytics service
for academic libraries........................................................................................................^
Ben Showers
Chapter conclusion............................................................................................................2^
Big and small data: further resources..........................................................................21
References.............................................................................................................................21
viii LIBRARY ANALYTICS AND METRICS
2 Data-driven collections management ...............................................23
Chapter overview................................................................................................................23
The collections turn...........................................................................................................24
Managing the local collection........................................................................................24
Managing the national collection................................................................................27
CASE STUDY 2.1 Building an analytics toolkit at the Harvard
Library.....................................................................................................................................28
Kim Dulin and Carli Spina
CASE STUDY 2.2 Collection management analytics: the Copac Collection
Management tools project..............................................................................................35
Shirley Cousins and Diana Massam
Chapter conclusion............................................................................................................44
Data-driven collections management: further resources....................................44
References.............................................................................................................................45
3 Using data to demonstrate library impact and value ........................47
Chapter overview................................................................................................................47
Does library use have an impact on student success?..........................................47
Taking analytics seriously.................................................................................................48
The ethics of Impact...........................................................................................................50
CASE STUDY 3.1 Library Impact data: Investigating library use and
student attainment (University of Huddersfield)....................................................51
Graham Stone
CASE STUDY 3.2 Retention, student success and academic engagement
at Minnesota (University of Minnesota)......................................................................58
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 (University ofWollongong)..................................................66
Brian Cox and Margie Jantti
Chapter conclusion: from knowing to showing!.....................................................74
Library Impact and value: further resources.............................................................75
Notes.......................................................................................................................................75
References.............................................................................................................................76
4 Going beyond the numbers: using qualitative research to
transform the library user s experience.............................................79
Chapter overview................................................................................................................79
Qualitative research and the user experience..........................................................79
Qualitative research and emerging user needs.......................................................81
A mix of skills and methodologies................................................................................81
CASE STUDY 4.1 Utilizing qualitative research methods to measure
library effectiveness: developing an engaging library experience...................82
Lynn Silipigni Connaway, Erin M. Hood and Carrie E. Vass
CASE STUDY 4.2 Ethnographic techniques and new visions for libraries.......96
Donna Landos
CONTENTS ix
Chapter conclusion..........................................................................................................108
Qualitative library research: further resources.......................................................108
Note ___________________________________________________________________________________________________________________________________109
References.........................................................................................................................109
5 Web and social media metrics for the cultural heritage sector........113
Chapter overview.............................................................................................................113
Web metrics and analytics in the cultural heritage sector................................114
The social web........................................................................-.........................................114
The future of web metrics.............................................................................................116
CASE STUDY 5.1 The web impact of cultural heritage institutions.................117
David Stuart
CASE STUDY 5.2 Let s Get Real: a Journey Towards Understanding
and Measuring Digital Engagement.........................................................................136
Sejul Malde, Jane Finnis, Anra Kennedy, Elena Villaespesa, Seb Chan and
Mia Ridge
Chapter conclusion_________________________________________________________________________________________________________150
Web and social media metrics: further resources...............................................150
References.........................................................................................................................151
6 Understanding and managing the risks of analytics .......................153
Chapter overview________________________________________________________________________________________________________153
Redrawing the boundaries of privacy....................................................................153
Whose data is it anyway?_____________________________________________________________________________________154
The importance of data flows...................................................................................155
CASE STUDY 6.1 The legal, risk and ethical aspects of analytics......................157
Ian Chowcat, David Kay and Naomi Korn
Chapter conclusion_____________________________________________—........................................................166
Understanding the risks of analytics: further resources.....................................166
References______________________________________________________________________________________________________________—166
7 Conclusion: towards a data-driven future? 169
Reference_______________________________________________________________________________________________________________________170
index •••••eeeeeee*ee###eeeeee»eeeeeeeeeeeeeee«eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee#1 71
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| id | DE-604.BV042474460 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T04:24:59Z |
| institution | BVB |
| isbn | 9781856049658 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027909570 |
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| publishDate | 2015 |
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| subject_GND | (DE-588)4145244-6 (DE-588)4315714-2 (DE-588)4122795-5 |
| title | Library analytics and metrics using data to drive decisions and services |
| title_auth | Library analytics and metrics using data to drive decisions and services |
| title_exact_search | Library analytics and metrics using data to drive decisions and services |
| title_full | Library analytics and metrics using data to drive decisions and services ed. by Ben Showers |
| title_fullStr | Library analytics and metrics using data to drive decisions and services ed. by Ben Showers |
| title_full_unstemmed | Library analytics and metrics using data to drive decisions and services ed. by Ben Showers |
| title_short | Library analytics and metrics |
| title_sort | library analytics and metrics using data to drive decisions and services |
| title_sub | using data to drive decisions and services |
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