Scholar dropout is a challenge for educational institutions. It is caused by many factors that should be known to be treated. Some analytical tools can help in this intent, especially when the proper data is well organized in a consistent structure and format. This paper presents a technical approach to allow homogeneous analysis for different scholar data sources, applying it to the dropout domain. This proposal makes use of an ontology to provide a better under- standing of the domain semantics, and to act as an interlanguage for the creation of standardized repositories from where dropout data can be analyzed.