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While special collections and archives managers have at times recognized the importance of using data to drive decision making, translating this objective into reality and integrating data analysis into day-to-day operations has proven to be a significant challenge. There have also been obstacles to formulating quantitative metrics for special collections and archives and rendering them interoperable across institutional boundaries. This article attempts to focus a conversation around two issues: 1) the importance of quantitative analysis of operational data for improving research services in special collections and archives; and 2) the need for the profession to achieve consensus on definitions for . . .

Data-Driven Management and Interoperable Metrics for Special Collections and Archives User Services