Analytics for Academic Libraries

Jennifer Ye Moon-Chung is the Assessment Coordinator at the University of Pittsburgh Library System, USA. Rob Behary is Head of Systems and Scholarly Communications at Duquesne University’s Gumberg Library in Pittsburgh, Pennsylvania, USA.

• 1. Introduction a. Introductionb. Scope c. Definition of Terms (Library analytics, Dashboards)2. Transformation of libraries and key metricsa. Changes in Academic Librariesb. Key Metricsc. Case Studies3. Building a Strong Foundation for Analyticsa. Building a Culture of Using Data to Make Decisionsb. Share Data across all Library Unitsc. Select Storaged. Case Studies4. Planning your Analytics Project a. Identifying Candidates b. Data Collection Planning: Purpose, Utilization, Management, and Maintenance c. Ethical and Legal Responsibilitiesd. Case studies5. Data Communication a. Defining your Communication Goalsb. Internal Communication Goalsc. Mid-level Communication Goalsd. Promotional Communication Goalse. Case studies6. Choosing the Right Reporting Toolsa. Evaluating Reporting Softwareb. Understand the Pros and Consc. Best Tools for Your Needsd. Case Studies7. Building Your Analytics Pipeline: From Data tools, and peoplea. Gathering and Selecting Datab. Cleaning and Preparing Datac. Feeding Data into Your Pipelined. Designing and Building Dashboardse. Maintaining and Improving Your Pipelinef. Case Studies8. Interpretation of Dataa. The Importance of Accurate Data Interpretationb. Understanding Data Bias and Misuse (Tips to Avoid Data Bias and Misuse)c. Behavioral Analyticsd. Predicative Analyticse. Case Studies9. Thinking about the future of library analytics and conclusiona. Documentationb. Data Quality and Integrityc. Learning Communityd. Evaluatione. Case Studies10. Thinking about the future of Analyticsa. Data Collectionb. Machine Learningc. Optimizing Data Modelsd. Concluding RemarksAppendixa. Tools Used in Analytics by Academic Librariesb. Resources for Benchmarking and Selecting Peer LibrariesBibliography

Analytics for Academic Libraries: Getting Started and Practical Applications provides a much-needed and accessible introduction to library analytics, offering a realistic starting point for librarians new to the work while also presenting experienced practitioners with insightful perspectives and approaches. Through relevant case studies, examples drawn from multiple functional areas, and clear guidance on the types of data to consider and how to use them effectively, it stands out as an excellent resource for building a culture of assessment and advancing analytics in a collaborative and participatory way.