7 Topics
5 Days
Programme Overview
Training Description
Who Should Attend
This workshop is essential for professionals looking to modernize their approach to library management, including:
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Chief Librarians and Library Directors: To support high-level strategic planning and budget defense.
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Systems and Electronic Resources Librarians: To better understand digital usage metrics and platform analytics.
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Collection Development Managers: To optimize acquisition budgets based on evidence-based usage patterns.
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Academic and Research Librarians: To track institutional impact and support faculty research data needs.
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Data Analysts and Information Professionals: Working within the GLAM (Galleries, Libraries, Archives, and Museums) sector.
Session Objectives
- Standardize Data Collection: Identify key performance indicators (KPIs) and utilize international standards like COUNTER for electronic resource usage.
- Master Analytical Tools: Navigate data visualization and analysis software to identify hidden patterns in patron behavior.
- Optimize Collections: Use evidence-based decision-making to prune underutilized resources and invest in high-demand subjects.
- Improve Service Design: Analyze gate counts and facility usage to optimize staffing levels and library operating hours.
- Communicate Value: Translate complex statistical findings into clear, persuasive reports for stakeholders and governing bodies.
- Predict Future Trends: Apply basic predictive modeling to anticipate shifts in library usage and emerging information needs.
About the Course
In an era where information is abundant but attention is scarce, libraries must evolve from simple repositories into data-informed hubs of community value. This course is designed to bridge the gap between raw library data and actionable strategy. Participants will move beyond basic circulation counts to explore sophisticated data analysis techniques that reveal how patrons interact with digital resources, physical collections, and physical spaces.
The training provides a hands-on approach to identifying trends, forecasting future needs, and quantifying the ROI (Return on Investment) of library services. By the end of this program, library professionals will be equipped to transform spreadsheets into compelling narratives that secure funding and improve user satisfaction.
Curriculum & Topics
7 Topics | 5 Days
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Subtopic 1.1:
• Identifying relevant library metrics for various service areas.
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Subtopic 1.2:
• Understanding the importance of data in library management.
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Subtopic 1.3:
• Exploring the data-driven decision-making process.
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Subtopic 1.4:
• Understanding key statistical concepts for library professionals.
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Subtopic 1.5:
• Best practices for establishing a data-driven culture in the library.
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Subtopic 2.1:
• Utilizing appropriate data collection tools and techniques.
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Subtopic 2.2:
• Exploring methods for collecting data on library usage (e.g., surveys, web analytics).
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Subtopic 2.3:
• Understanding data collection standards (e.g., COUNTER).
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Subtopic 2.4:
• Implementing effective data collection strategies.
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Subtopic 2.5:
• Best practices for ensuring data quality and accuracy.
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Subtopic 3.1:
• Applying statistical methods to analyze library usage data.
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Subtopic 3.2:
• Understanding descriptive statistics (e.g., mean, median, mode).
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Subtopic 3.3:
• Learning about inferential statistics (e.g., hypothesis testing, confidence intervals).
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Subtopic 3.4:
• Utilizing statistical software (e.g., Excel, SPSS, R) for data analysis.
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Subtopic 3.5:
• Best practices for selecting and applying appropriate statistical tests.
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Subtopic 4.1:
• Learning to interpret data findings and draw meaningful conclusions
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Subtopic 4.2:
• Understanding the limitations of data and statistical analysis.
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Subtopic 4.3:
• Identifying trends, patterns, and outliers in library data.
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Subtopic 4.4:
• Relating data findings to library goals and objectives.
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Subtopic 4.5:
• Best practices for translating data into actionable insights.
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Subtopic 5.1:
• Creating data visualizations for effective communication.
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Subtopic 5.2:
• Understanding principles of effective data visualization.
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Subtopic 5.3:
• Selecting appropriate chart types (e.g., bar charts, line graphs, pie charts).
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Subtopic 5.4:
• Using data visualization tools (e.g., Tableau, Power BI).
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Subtopic 5.5:
• Best practices for presenting data clearly and persuasively.
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Subtopic 6.1:
• Making data-informed decisions to improve library services.
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Subtopic 6.2:
• Using data to inform strategic planning and resource allocation.
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Subtopic 6.3:
• Applying data to evaluate library programs and services.
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Subtopic 6.4:
• Using data to identify areas for improvement and innovation.
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Subtopic 6.5:
• Best practices for integrating data into the decision-making process.
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Subtopic 7.1:
• Communicating the library's value and impact using data.
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Subtopic 7.2:
• Developing strategies for communicating data to stakeholders.
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Subtopic 7.3:
• Creating reports and presentations that highlight the library's return on investment.
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Subtopic 7.4:
• Using data to advocate for library funding and resources.
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Subtopic 7.5:
• Best practices for demonstrating the library's impact on the community.
