Ricerc@Sapienza

This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register (ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain. The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data.

The main objective of this work is to show the potentialities of recently developed
approaches for automatic knowledge extraction directly from the universities’ websites. The
information automatically extracted can be potentially updated with a frequency higher than
once per year, and be safe from manipulations or misinterpretations. Moreover, this approach
allows us flexibility in collecting indicators about the efficiency of universities’ websites and
their effectiveness in disseminating key contents. These new indicators can complement