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Using Digital Analytics for Smart Assessment [Minkštas viršelis]

  • Formatas: Paperback / softback, 240 pages, aukštis x plotis: 229x152 mm
  • Išleidimo metai: 31-Oct-2017
  • Leidėjas: ALA Editions
  • ISBN-10: 0838915981
  • ISBN-13: 9780838915981
  • Formatas: Paperback / softback, 240 pages, aukštis x plotis: 229x152 mm
  • Išleidimo metai: 31-Oct-2017
  • Leidėjas: ALA Editions
  • ISBN-10: 0838915981
  • ISBN-13: 9780838915981
Tracking the library user's journey is no simple task in the digital world; users can often navigate through a series of different websites, including library websites, discovery tools, link resolvers, and more just to view a single journal article. Your library collects massive amounts of data related to this journeyprobably more than you realize, and almost certainly more than you analyze. Too often library analytic programs simplify data into basic units of measurements that miss useful insights. Here, data expert Farney shows you how to maximize your efforts: youll learn how to improve your data collection, clean your data, and combine different data sources. Teaching you how to identify and analyze areas that fit your librarys priorities, this book covers

case studies of library projects with digital analytics; ways to use email campaign data from MailChimp or ConstantContact; how to measure click-through rates from unavailable items in the catalog to the ILL module; getting data from search tools such as library catalogs, journal search portals, link resolvers, and digital repositories; using COUNTER compliant data from your electronic resources; techniques for using Google Tag Manager for custom metrics and dimensions; descriptions of analytics tools ranging from library analytics tools like Springshares LibInsights and Orangeboys Savannah to more focused web analytics tools like Google Analytics, Piwik, and Woopra; and data visualization tools like Tableau or Google Data Studio.

Focusing on digital analytics principles and concepts, this book walks you through the many tools available, including step-by-step examples for typical library needs.
Preface ix
PART I THE DIGITAL ANALYTICS PROCESS
Tabatha Farney
1 Understanding Digital Analytics
3(12)
2 Collecting the Data
15(16)
Tools and Data Points You Should Know
3 Analyzing Digital Data
31(18)
Digital Analytics and Data Analysis Tools
4 Digital Analytics in Practice
49(14)
How Helpful Is Your Online Content?
5 Using Digital Analytics for Collection Development
63(20)
PART II EXPANDING THE DIGITAL ANALYTICS PROCESS
6 On the Road to Learning Analytics: The University of Michigan Library's Experience with Privacy and Library Data
83(12)
Laurie Alexander
Doreen R. Bradley
Kenneth J. Varnum
7 Ensuring Data Privacy in a Library Learning Analytics Database
95(12)
Michael D. Doran
8 Creating the Library Data Dashboard
107(10)
Laura Costello
Heath Martin
9 The Myth of the Declining Reference Statistic: Revealing Dynamic Reference Services through Digital Analytics
117(10)
Marissa C. Ball
Melissa Del Castillo
10 I Using Digital Analytics to Assess Your Social Media Marketing Efforts
127(14)
Joel Tonyan
Selected Bibliography and Further Resources 141(4)
About the Contributors 145(4)
Index 149