This dataset integrates two complementary components to support a rigorous assessment of operational performance in federal universities across Southeast Nigeria. The first component comprises Computer-Aided Facility Management (CAFM) software outputs, capturing detailed maintenance logs such as work orders, asset conditions, fault classifications, response times, and associated costs. These records provide a granular, time-stamped account of facility operations and maintenance efficiency across diverse building types. The second component consists of Weibull reliability modelling datasets, which utilize failure time data derived from CAFM logs to estimate reliability indices, failure probabilities, and maintenance cycles of critical building systems. By linking real-time maintenance records with probabilistic reliability analysis, the dataset enables deeper insights into system durability, performance trends, and cost implications. This integrated structure enhances analytical precision, supports predictive maintenance strategies, and strengthens the evaluation of lifecycle cost performance in complex university building environments.