Data-driven decisions : a practical toolkit for Librarians and Information Professionals /

4 Step 2: Collect -- Introduction -- Choosing your data -- Data collection methods -- Summary -- 5 Step 3: Map -- Introduction -- What is mapping? -- Making data comparable (normalising) -- Visualisation -- Creating a map of your data -- Summary -- 6 Step 4: Analyse -- Introduction -- What is analys...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Stubbing, Amy (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Facet Publishing, [2022].
Temas:
Library administration > Decision making.
Information resources management > Decision making.
Quantitative research.
Data mining.
Bibliothèques > Administration > Prise de décision.
Gestion de l'information > Prise de décision.
Recherche quantitative.
Exploration de données (Informatique)
Data mining
Library administration > Decision making
Quantitative research
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Praise for Data-Driven Decisions
  • Title Page
  • Copyright
  • Dedication
  • Contents
  • Figures and Tables
  • Contributors
  • Acknowledgements
  • Part 1: Background
  • 1 Introduction
  • About the author
  • The wider context
  • The what, the why and the where of the data-driven decision process
  • The toolkit?
  • Going further
  • What will you get from this book?
  • 2 Using the Toolkit
  • Getting started
  • Book layout
  • The model
  • A circular approach
  • Part 2: The Toolkit
  • 3 Step 1: Identify
  • Introduction
  • Data needs
  • Data queries
  • Data sources
  • Time to practise
  • Make the changes
  • What next?
  • Part 3: Going Further
  • 9 Moving from a Transactional to a Transformational Service Using Data
  • Introduction
  • Why lead with data?
  • Transactional vs transformational work
  • Data-led culture
  • Data with compassion
  • Case study
  • 10 Collection Mapping for Collection Management
  • Introduction
  • Understanding your collection as a concept
  • Collection mapping
  • Conclusion
  • 11 User Experience and Qualitative Data
  • Introduction
  • What is UX?
  • Undertaking UX research in a library
  • The UX techniques
  • Ethics of research
  • Recruiting participants
  • Analysis
  • Now write it up!
  • What next?
  • Words of caution
  • This is the beginning
  • 12 Alternative Data Sources: Using Digital and Social Media to Inform Management Decisions in Your Library
  • Introduction
  • Libraries and social media
  • Social media terminology and background
  • What sort of data are we talking about?
  • Data from social media marketing activity
  • User engagement data and dialogue (outcomes measurement and evaluation)
  • Service improvements and customer services
  • Altmetrics
  • Web-based analytics
  • Summary
  • 13 Starting from Scratch: Building a Data Culture at the University of Westminster
  • Background
  • Overnight opening case study
  • Lessons learned and reflection
  • 14 Back to the Drawing Board: How Data Visualisation Techniques Informed Service Delivery during the COVID-19 Pandemic
  • Setting the scene
  • Background
  • Piktochart
  • Power BI
  • Case study: the pandemic
  • Final thoughts
  • Appendix
  • Bibliography
  • Index

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