Data-driven decisions: a practical toolkit for library and information professionals
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Facet publishing
2022
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xvi, 180 Seiten Illustrationen, Diagramme |
| ISBN: | 9781783304783 9781783304790 |
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Datensatz im Suchindex
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| adam_text | Contents Figures and Tables xiii Contributors xv xvii 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 1 3 3 4 б 7 8 8 9 9 9 10 11 PART 2 THE TOOLKIT 3 Step 1: Identify Introduction Data needs Data queries Data sources Time to practise Summary 13 15 15 16 17 71 27
x 4 5 6 7 8 DATA-DRIVEN DECISIONS Step 2: Collect 23 Introduction Choosing your data Data collection methods Summary 23 26 38 Step 3: Map 39 Introduction What is mapping? Making data comparable (normalising) Visualisation Creating a map of your data Summary 39 39 40 48 52 53 Step 4: Analyse 57 Introduction What is analysis? Understand context Conclusions Summary 37 57 60 62 68 Step 5: Act 69 Introduction What is the action step? Sharing data Planning actions Summary 69 69 70 73 75 Step 6: Review 77 Introduction Why do we review? What do we review? How to review and questions to explore Make the changes What next? 77 77 78 78 80 82 PART 3 GOING FURTHER 9 Moving from a Transactional to a Transformational Service Using Data Helen Rimmer Introduction Why lead with data? Transactional vs transformational work Data-led culture Data with compassion Case study 83 85 85 85 86 86 89 90
CONTENTS 10 Collection Mapping for Collection Management Amy Stubbing Introduction Understanding your collection as a concept Collection mapping Conclusion xi 97 97 97 98 Юб 11 User Experience and Qualitative Data Emilia Brzozowska-Szczedna Introduction What is UX? 107 Undertaking UX research in a library The UX techniques Ethics of research Recruiting participants Analysis Now write it up! What next? 108 108 117 118 119 122 123 12 107 107 Words of caution 125 This is the beginning 125 Alternative Data Sources: Using Digital and Social Media to Inform 127 Management Decisions in Your Library 13 Leo Appleton 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) 127 128 129 129 130 134 Service improvements and customer services Altmetrics 135 136 Web-based analytics Summary 137 14θ Starting from Scratch: Building a Data Culture at the University of 141 Westminster Sarah Maule Background Overnight opening case study Lessons learned and reflection 141 143 152
xii 14 DATA-DRIVEN DECISIONS Back to the Drawing Board: How Data Visualisation Techniques Informed 155 Service Delivery during the COVID-19 Pandemic Elaine Sykes Setting the scene Background Piktochart Power BI Case study: the pandemic Final thoughts 155 156 156 158 159 164 Appendix 169 Bibliography 171 Index 175
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| adam_txt |
Contents Figures and Tables xiii Contributors xv xvii 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 1 3 3 4 б 7 8 8 9 9 9 10 11 PART 2 THE TOOLKIT 3 Step 1: Identify Introduction Data needs Data queries Data sources Time to practise Summary 13 15 15 16 17 71 27
x 4 5 6 7 8 DATA-DRIVEN DECISIONS Step 2: Collect 23 Introduction Choosing your data Data collection methods Summary 23 26 38 Step 3: Map 39 Introduction What is mapping? Making data comparable (normalising) Visualisation Creating a map of your data Summary 39 39 40 48 52 53 Step 4: Analyse 57 Introduction What is analysis? Understand context Conclusions Summary 37 57 60 62 68 Step 5: Act 69 Introduction What is the action step? Sharing data Planning actions Summary 69 69 70 73 75 Step 6: Review 77 Introduction Why do we review? What do we review? How to review and questions to explore Make the changes What next? 77 77 78 78 80 82 PART 3 GOING FURTHER 9 Moving from a Transactional to a Transformational Service Using Data Helen Rimmer Introduction Why lead with data? Transactional vs transformational work Data-led culture Data with compassion Case study 83 85 85 85 86 86 89 90
CONTENTS 10 Collection Mapping for Collection Management Amy Stubbing Introduction Understanding your collection as a concept Collection mapping Conclusion xi 97 97 97 98 Юб 11 User Experience and Qualitative Data Emilia Brzozowska-Szczedna Introduction What is UX? 107 Undertaking UX research in a library The UX techniques Ethics of research Recruiting participants Analysis Now write it up! What next? 108 108 117 118 119 122 123 12 107 107 Words of caution 125 This is the beginning 125 Alternative Data Sources: Using Digital and Social Media to Inform 127 Management Decisions in Your Library 13 Leo Appleton 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) 127 128 129 129 130 134 Service improvements and customer services Altmetrics 135 136 Web-based analytics Summary 137 14θ Starting from Scratch: Building a Data Culture at the University of 141 Westminster Sarah Maule Background Overnight opening case study Lessons learned and reflection 141 143 152
xii 14 DATA-DRIVEN DECISIONS Back to the Drawing Board: How Data Visualisation Techniques Informed 155 Service Delivery during the COVID-19 Pandemic Elaine Sykes Setting the scene Background Piktochart Power BI Case study: the pandemic Final thoughts 155 156 156 158 159 164 Appendix 169 Bibliography 171 Index 175 |
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| spelling | Data-driven decisions a practical toolkit for library and information professionals Amy Stubbing London Facet publishing 2022 xvi, 180 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Wissenschaftliche Bibliothek (DE-588)4066573-2 gnd rswk-swf Entscheidungsfindung (DE-588)4113446-1 gnd rswk-swf Bibliotheksverwaltung (DE-588)4132641-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Library administration / Decision making Information recources management / Decision making Qunatitative research Data mining (DE-588)4143413-4 Aufsatzsammlung gnd-content Wissenschaftliche Bibliothek (DE-588)4066573-2 s Bibliotheksverwaltung (DE-588)4132641-6 s Datenanalyse (DE-588)4123037-1 s Entscheidungsfindung (DE-588)4113446-1 s DE-604 Stubbing, Amy ca. 20./21. Jh. (DE-588)1269727869 aut 9781783304806 PDF 9781783305223 EPUB Erscheint auch als Online-Ausgabe (PDF) 9781783304806 Erscheint auch als Online-Ausgabe (EPUB) 9781783305223 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033845542&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Stubbing, Amy ca. 20./21. Jh Data-driven decisions a practical toolkit for library and information professionals Wissenschaftliche Bibliothek (DE-588)4066573-2 gnd Entscheidungsfindung (DE-588)4113446-1 gnd Bibliotheksverwaltung (DE-588)4132641-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
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| title | Data-driven decisions a practical toolkit for library and information professionals |
| title_auth | Data-driven decisions a practical toolkit for library and information professionals |
| title_exact_search | Data-driven decisions a practical toolkit for library and information professionals |
| title_exact_search_txtP | Data-driven decisions a practical toolkit for library and information professionals |
| title_full | Data-driven decisions a practical toolkit for library and information professionals Amy Stubbing |
| title_fullStr | Data-driven decisions a practical toolkit for library and information professionals Amy Stubbing |
| title_full_unstemmed | Data-driven decisions a practical toolkit for library and information professionals Amy Stubbing |
| title_short | Data-driven decisions |
| title_sort | data driven decisions a practical toolkit for library and information professionals |
| title_sub | a practical toolkit for library and information professionals |
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