An Open Multi-Campus Dataset of Academic Service Requests Before and After Administrative Process Redesign

Abstract

This paper presents an open, anonymized dataset of academic service requests collected before and after an administrative process redesign in a multi-campus university in Ecuador. The dataset was extracted from the Sistema Nacional Académico and covers two consecutive six-month periods: PERIOD_1, representing the original processes, and PERIOD_2, representing the redesigned processes. It contains 432 aggregated records corresponding to 97,809 requests across three pseudonymized campuses, 25 request types, and 13 workflow states. Each record combines period, campus, request type, current state, and the aggregated request count, while reducing disclosure risk through aggregation and removal of identifiers. Descriptive analyses show that request volume increased by 14.03%, while the combined share of requests observed in the Approved and Processed Request states increased from 75.71% to 77.36%. At the common extraction snapshot, the proportion of requests observed in four institutionally defined undesirable workflow states decreased from 5.20% to 4.46%. The dataset, documentation, and reproducible analysis code are publicly available through Figshare and GitHub, supporting research on higher education administration, workflow analysis, institutional analytics, and process improvement.

The authors' abstract, as published at the source. Data, 2026 · DOI ↗