Data and metadata models in EEG/ERP domain: tech nical report number DCSE/TR-2012-01

This work summarizes the current state of data modelling in EEG/ERP domain. The progress of research investigation depends on sharing information, on proper terminology and on precisely described problems or tasks. EEG/ERP research is not an exception. Therefore the organization called INCF was established. Nowadays, INCF covers the national nodes all over the world and one of its purposes is to make proposals to share data across the nodes. This work describes the EEG/ERP domain and INCF solutions and efforts. Then it describes various ways to model data,to store data and to make transform ation between data models. It deals with standard technologies (such as relational databases) as well as new technologies (such as ontologies and semantic web). Finally, it evaluates various data models and proposes how to make a standardized description of EEG/ERP domain. The raw data from measurement cannot be interpreted without the set of metadata. The current descriptions of a metadata structure do not cover all the necessary levels of abstraction. Therefore, the proposal of complete description of EEG/ERP domain will be the scope of Ph.D. thesis