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Data-Driven Decisions: A Practical Toolkit for Librarians and Information Professionals [Pehme köide]

3.55/5 (21 hinnangut Goodreads-ist)
  • Formaat: Paperback / softback, 200 pages, kõrgus x laius: 234x156 mm
  • Ilmumisaeg: 28-Apr-2022
  • Kirjastus: Facet Publishing
  • ISBN-10: 1783304782
  • ISBN-13: 9781783304783
Teised raamatud teemal:
Data-Driven Decisions: A Practical Toolkit for Librarians and Information ProfessionalsSuurem pilt
  • Formaat: Paperback / softback, 200 pages, kõrgus x laius: 234x156 mm
  • Ilmumisaeg: 28-Apr-2022
  • Kirjastus: Facet Publishing
  • ISBN-10: 1783304782
  • ISBN-13: 9781783304783
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781783304783.html
Märksõnad:
This book guides readers from the very start of their journey in discovering data and all its uses to implementing data collection, analysis and review for decision making and service development. It’s a practical, no nonsense guide to demystify and equip any information professional with the tools to start their own data driven decision practice.


Data Driven Decisions: A Practical Toolkit for Library and Information Professionals is a simple, jargon-free guide to using data for decision making in library services. The book walks readers step-by-step through each stage of implementing, reviewing and embedding data driven decisions in their organisation, providing accessible visualisations, top tips, and downloadable tools to support readers on their data journey. Staring with the absolute basics of using data, the author creates a framework for building skills and knowledge slowly until the reader is comfortable with even complex uses of data. The book begins with an exploration of explore the foundations of data driven decisions in libraries including a look at the impact of the current financial climate on resources, theoretical foundations of data collection and analysis, and how this book can be used in practice. The next section takes readers through the data driven decisions model, providing the guide for understanding and manual for implementation of the model. Finally, the book provides further perspectives and reading surrounding analysis and implementation of data driven decisions. This section aims to give supplementary and focused information on different areas of data driven decisions which can be included in processes once the reader understands the foundation of the book from earlier chapters. Highly practical and written in an accessible style, this book is an essential resource for librarians and information professionals who increasingly need to justify decisions on programmes and services through quantifiable data.


Data Driven Decisions: A Practical Toolkit for Library and Information Professionals is a simple, jargon-free guide to using data for decision making in library services.

Arvustused

"Data Driven Decisions: A Practical Toolkit for Library and Information Professionals fully lives up to the promise of its title and must be considered essential reading for library science students and practicing librarians -- and a core addition to college and university Library Science collections." * Midwest Book Review *

Figures and Tables
xiii
Contributors xv
Acknowledgements xvii
PART 1 BACKGROUND
1(12)
1 Introduction
3(6)
About the author
3(1)
The wider context
4(2)
The what, the why and the where of the data-driven decision process
6(1)
The toolkit?
7(1)
Going further
8(1)
What will you get from this book?
8(1)
2 Using the Toolkit
9(4)
Getting started
9(1)
Book layout
9(1)
The model
10(1)
A circular approach
11(2)
PART 2 THE TOOLKIT
13(70)
3 Step 1: Identify
15(8)
Introduction
15(1)
Data needs
15(1)
Data queries
16(1)
Data sources
17(4)
Time to practise
21(1)
Summary
22(1)
4 Step 2: Collect
23(16)
Introduction
23(1)
Choosing your data
23(3)
Data collection methods
26(12)
Summary
38(1)
5 Step 3: Map
39(18)
Introduction
39(1)
What is mapping?
39(1)
Making data comparable (normalising)
40(8)
Visualisation
48(4)
Creating a map of your data
52(3)
Summary
55(2)
6 Step 4: Analyse
57(12)
Introduction
57(1)
What is analysis?
57(3)
Understand context
60(2)
Conclusions
62(6)
Summary
68(1)
7 Step 5: Act
69(8)
Introduction
69(1)
What is the action step?
69(1)
Sharing data
70(3)
Planning actions
73(2)
Summary
75(2)
8 Step 6: Review
77(6)
Introduction
77(1)
Why do we review?
77(1)
What do we review?
78(1)
How to review and questions to explore
78(2)
Make the changes
80(2)
What next?
82(1)
PART 3 GOING FURTHER
83(86)
9 Moving from a Transactional to a Transformational Service Using Data
85(12)
Helen Rimmer
Introduction
85(1)
Why lead with data?
85(1)
Transactional vs transformational work
86(1)
Data-led culture
86(3)
Data with compassion
89(1)
Case study
90(7)
10 Collection Mapping for Collection Management
97(10)
Amy Stubbing
Introduction
97(1)
Understanding your collection as a concept
97(1)
Collection mapping
98(8)
Conclusion
106(1)
11 User Experience and Qualitative Data
107(20)
Emilia Brzozowska-Szczecina
Introduction
107(1)
What is UX?
107(1)
Undertaking UX research in a library
108(1)
The UX techniques
108(9)
Ethics of research
117(1)
Recruiting participants
118(1)
Analysis
119(3)
Now write it up!
122(1)
What next?
123(2)
Words of caution
125(1)
This is the beginning
125(2)
12 Alternative Data Sources: Using Digital and Social Media to Inform Management Decisions In Your Library
127(14)
Leo Appleton
Introduction
127(1)
Libraries and social media
128(1)
Social media terminology and background
129(1)
What sort of data are we talking about?
129(1)
Data from social media marketing activity
130(4)
User engagement data and dialogue (outcomes measurement and evaluation)
134(1)
Service improvements and customer services
135(1)
Altmetrics
136(1)
Web-based analytics
137(3)
Summary
140(1)
13 Starting from Scratch: Building a Data Culture at the University of Westminster
141(14)
Sarah Maule
Background
141(2)
Overnight opening case study
143(9)
Lessons learned and reflection
152(3)
14 Back to the Drawing Board: How Data Visualisation Techniques Informed Service Delivery during the COVID-19 Pandemic
155(14)
Elaine Sykes
Setting the scene
155(1)
Background
156(1)
Piktochart
156(2)
Power BI
158(1)
Case study: the pandemic
159(5)
Final thoughts
164(5)
Appendix 169(2)
Bibliography 171(4)
Index 175
Amy Stubbing has had a varied career across different sectors, and has held roles in areas including collection management, customer services, and library management. She is currently Academic Engagement Lead at University of Westminster where she is responsible for strategic planning and development of the learning support provision for the university, including academic liaison and academic learning development. Previous roles include Campus Library Manager at University of East London, and the Library Customer Care Collections Coordinator at Royal Holloway University.

Amys interest in data and using it to inform service decisions and developments to improve user experience has been a core part of her career. She has a particular passion for developing data literacy and embedding data practices into all decision making, which led to her developing her Data Driven Decisions toolkit for libraries. She has worked with numerous university libraries to begin working towards embedding a culture of data-driven decisions, and has used her varied experience of teaching data literacy to further develop her toolkit, culminating in this book.