Design of an information system for the management, visibility, and scientific positioning in research centers: CRIS-AGROSAVIA System study case

Óscar Javier Vásquez-Casallas, Betty Jazmín Gutiérrez-Rodríguez, Carlos Arturo Bedoya Sánchez and Diego Hernando Flórez Martínez

Data and Metadata, 2025, vol. 4, 451

Abstract: This research focused on the use of technology to facilitate the management of resources, products, and knowledge services in research, development, and innovation (R+D+i) organizations. Specifically, it highlighted how Current Research Information Systems (CRIS) could be employed for this purpose. The study aimed to develop and implement a CRIS information system at the AGROSAVIA Research Center, with an emphasis on integrating the system with institutional repositories and external/internal systems to manage scientific and technological knowledge assets effectively. Methods: The process of creating the CRIS involved several stages: planning, requirements analysis, system design, development, and implementation. Key elements included the deployment of system interfaces for the target audience (stakeholders of the National System of Science, Technology, and Innovation) and the use of a recognized data model (CERIF standard) to enhance metadata generation, ensure standardization, and enable interoperability with external and internal systems. Results: The system was designed with two primary interfaces: a public version for the external scientific community and a corporate version for internal users of the research center. The CERIF-based data model facilitated repository structuring and the loading of an initial data baseline, supporting effective data management and decision-making processes. Conclusion: This study provides a valuable case for those looking to build information systems for knowledge management. The CRIS developed at AGROSAVIA acted as a tool for process evaluation, scientific communication, and dissemination, offering key insights into the technological architecture, data management model, and technological deployment required for such systems

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:451:id:1056294dm2025451

DOI: 10.56294/dm2025451

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