Mapping Data Elements of Persian Traditional Music Resources to the Entities, Attributes, and Relationships of IFLA's Library Reference Model

The purpose of this study is mapping the data elements of Persian traditional music resources to the entities, attributes, and relationships of IFLA's Library Reference Model (LRM). This research is applied in terms of purpose; qualitative, in terms of approach; and content analysis, by method. Due to the weakness of the current lists of Persian traditional music resources in the field of retrieving musical resources, the IFLA Library Reference Model as a reference model in the field of resource organization is an optimal and efficient model, although it needs practical research to be used in a variety of resources, because this model has presented its structure in general. In this study, data elements of Persian traditional music resources were extracted from reliable reference resources highlighted by experts and the extracted list was confirmed by researchers and experts, through applying the contingency coefficient in the form of categorized lists; then, the checklist of the LRM final version (August 2017), the validity of which has already been assessed, compared to LRM. Finally, the data elements of Persian traditional music resources were classified in the form of 25 main categories. Mapping between these categories and LRM's entities, attributes, and relationships indicates that LRM needs to be expanded in order to be effective in organizing.