A Data Integration Pipeline for Research Information Management: Implementation and Performance Assessment in Higher Education Contexts
Luis Ramirez-Polo, Nestor Caicedo-Solano, Fabio Bermejo-Altamar
Higher education institutions face persistent challenges when research data remains fragmented across multiple platforms, limiting strategic decision-making and comprehensive research oversight. This issue is particularly acute in emerging economies, where manual collection processes constrain institutional planning and competitiveness in global research evaluation frameworks. This study presents the design, implementation, and validation of an automated data integration pipeline that consolidates heterogeneous research data sources to strengthen institutional research management and analytics. The system integrates Colombia's national research platform (GrupLAC), international bibliometric databases (Scopus and Web of Science), and internal institutional systems. To resolve author disambiguation and affiliation matching challenges, the pipeline employs fuzzy matching algorithms combining FuzzyWuzzy and python-Levenshtein libraries. Implemented at a Colombian university with 536 academic divisions members across six academic divisions, the pipeline achieved 99% data coverage while processing 50,000 records in under 5 min, with 94.2% accuracy in author disambiguation and 96.8% in affiliation resolution. Network analysis revealed interdisciplinary collaboration structures across twenty-two active research groups that remained invisible under prior fragmented data management approaches. Results are delivered through a multi-level Power BI dashboard supporting evidence-based institutional decision-making. This work contributes a practical, open-source framework for institutions operating under dual national-international evaluation systems a context underserved by existing commercial CRIS solutions and provides a nationally scalable framework based on standardized ministerial metrics, alongside a methodological blueprint adaptable to similar emerging economy contexts.
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