The EuRED (European Reading Experience Database) project1 consists of a RDBMS gathering reading experiences made by Europeans from the 15th century until today. The database has been inspired by the purely British UK-RED database2 which was launched in 2006 and contains approximately 40,000 records. Our goal, by achieving a proof of concept, is to give UK-RED a chronological and geographical extension with a European dimension, to take care both of new sources (CMCs, etc.) and new needs expressed by researchers. This is why new fields necessary to describe reading experiences have been added to UK-RED’s data model. It was very quickly decided to reuse and convert the original data into TEI P5 and, therefore, to build a new data model also based on TEI P5. The choice of TEI P5 is relevant for two main reasons: First, around 90% of the UK-RED fields can easily be replaced by existing TEI P5 elements; second, TEI P5 is customizable. Thus a new class (model.experienceDescPart) containing 23 new elements mostly linked with specific thesaurii has been designed to help describing reading experiences. In EuRED’s data model, these new elements are placed in the teiHeaderand not in the body. Besides the challenge of the conversion of UK-RED’s data, this decision was made because EuRED is not a database gathering textual sources containing transcriptions of reading experiences, but, on the contrary, a database gathering transcriptions of reading experiences located in textual sources. The aim of this poster is to explain and demonstrate how we use TEI P5, not only for encoding textual sources but also for data model building and database management purposes.