Which statement best describes data-driven decision making in libraries?

Which statement best describes data-driven decision making in libraries?

• A. To replace professional judgment with numbers alone.
• B. To collect data without using it.
• C. To use statistics, surveys, and assessments to improve services and advocate for funding or policy changes.
• D. To maintain the status quo regardless of data.

Answer: (C)

Data-driven decision making in libraries means using statistics, surveys, and assessments to inform choices, measure outcomes, and guide improvements in services and resource allocation. It blends data with professional expertise, not replacing judgment with numbers, and it helps justify funding or policy changes by showing what works. For example, analyzing program attendance and user satisfaction can reveal which services to expand and where to invest, supporting a funding proposal. Choices that focus on collecting data without acting on it, treating data as an end in itself, or resisting change despite findings do not reflect this approach.

Data-driven decision making in libraries means using statistics, surveys, and assessments to inform choices, measure outcomes, and guide improvements in services and resource allocation. It blends data with professional expertise, not replacing judgment with numbers, and it helps justify funding or policy changes by showing what works. For example, analyzing program attendance and user satisfaction can reveal which services to expand and where to invest, supporting a funding proposal. Choices that focus on collecting data without acting on it, treating data as an end in itself, or resisting change despite findings do not reflect this approach.