Members

UGent

The “Centre for R&D Monitoring” Research Group at Ghent University focuses on Human Resources in Research. This includes the production of doctoral degrees, the potential drawbacks and factors for success during the PhD track, research mobility and the careers of doctoral holders on the academic and non-academic labour market.
Ghent University develops several indicators to support the monitoring of academic Human Resources in Flanders.  In addition, the centre provides explanations for these indicators and offers advice to the Flemish government and universities. A permanent database for academic appointments combined with survey results also allows for prospective research into the careers of Ph.D. graduates, with particular focus on intersectoral and international mobility.

UAntwerpen

ECOOM-Antwerp is responsable for building the Flemish Academic Bibliographic Database for Social Sciences and Humanities (VABB-SHW). The VABB-SHW allows to count and internationally benchmark scientific publications from researchers working for a Flemish Institution for higher education.

Based on the data in the VABB-SHW, ECOOM-Antwerp studies the characteristics and evolution of publication patterns in Social Sciences and Humanities, with as a main goal policy implications and possible refinements of countability and counting schemes. Ecoom-Antwerp focusses on differences in publication language, publication type, co-authorship, interdisciplinarity and the proportional amount of Web of Science indexed publications.
 

VUB

 

 

 

UHasselt

ECOOM-UHasselt manages the classification lists of research output, more specifically publications, scientific disciplines, financial lists and technology domains. To this end, ECOOM-UHasselt manages the semantics associated with each of these lists in consultation with the various stakeholders and taking into account national and international trends. The focus is both on defining an unambiguous semantic of the different classifications as on updating and extending the existing classifications. This will lead to an increased quality of classifications and will play an important role in the context of administrative simplification of research reporting.