ShareDIGI‑REQA (Digital Tools and Quality Assurance for Automatic Recognition)
DIGI‑REQA (Digital Tools and Quality Assurance for Automatic Recognition) is a European project funded by the Erasmus+ programme, coordinated by the Lithuanian agency SKVC (Centre for Quality Assessment in Higher Education), with the participation of AQU Catalunya and ten European partners. Among these partners are NARIC centres (European Network of Information Centres), quality assurance agencies, and international networks, such as the AIC (Academic Information Centre) of Latvia, Nuffic (the Dutch organisation for internationalisation in education) of the Netherlands, NAWA (Polish National Agency for Academic Exchange) of Poland, CIMEA (Centro di Informazione sulla Mobilità e le Equivalenze Accademiche) of Italy, NVAO (Accreditation Organisation of the Netherlands and Flanders), AQ Austria (Agency for Quality Assurance and Accreditation), EQAR (European Quality Assurance Register for Higher Education), EUA (European University Association), and ENQA (European Association for Quality Assurance in Higher Education).
The aim of the project is to strengthen and consolidate the implementation of Automatic Recognition - ENIC-NARIC of academic qualifications in Europe through the use of digital tools, reliable quality data, and closer integration between recognition processes and quality assurance. In this regard, DIGI‑REQA seeks to contribute to a more coherent application of the Multilateral Recognition Treaty by providing practical solutions useful for higher education institutions, quality assurance agencies, ENIC/NARIC centres, as well as students and employers.
AQU Catalunya’s contribution to the project focuses on analysing the integration of automatic recognition into internal and external quality processes (WP5), defining recommendations on the quality data needed to support automatic recognition (WP4), and developing benchmarks applicable to microcredentials and joint degrees.
The expected outcomes of the project, scheduled to be completed in 2027, include a more transparent, efficient, and reliable recognition system, a set of practical guidelines for the implementation of automatic recognition, and better integration of recognition into quality assurance processes at both institutional and agency levels.