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The exponential growth of data in digital environments has highlighted the emergence of developing analytics processes for data visualization and evaluation. The same happens at the university research level. Therefore, universities need to have specific analytical processes for research evaluation. The aim of our study is to find the way to apply general data analytical methods and technologies, specifically for university research environments, to help improve the results of their research. We have found that universities that maintain a Current Research Information System, CRIS (CERIF Compliant), containing high quality data, are able to implement these analytical processes and improve their results in the assessment and evaluation of their research data. This paper explains the process to implement such methodologies and techniques. Some results are also explained.
Guillaumet et al. (Tue,) studied this question.
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