Mapping and Valuation Iran MARC (Machine Readable Cataloging) Data Elements with FRBR Entities and User Tasks

This study aimed to map IRAN MARC (extracted from RASA، the National Library of Iran’s Software) fields and data elements for FRBR entities and user tasks on one side and also exploring the users'' view on assessing the value related to user tasks. A Mixed-method was used for the study. The IRANMARC fields (0XX – 9XX) and data elements were mapped on the FRBR entities and the 4 user tasks (Find، Identify، Select، Obtain) based on similar studies conducted by the Library of Congress on the MARC 21، IFLA report and evaluation of users in research. According to the findings of the study، the first rank of Mapping IRAN MARC (on RASA) fields and data elements on FRBR user tasks with 49. 17 percent belonged to the “Identifying” and the last with 18. 42 percent to the “Finding” tasks. According to results، maximum compatibility with existing data elements in IRANMARC belonged to the first group and the lowest compatibility with the third group of entities of FRBR model. In total 44. 74 percent of the IRANMARC data elements mapped on the first group of FRBR، 9. 95 percent matched with the second group and 3. 15 with the third group. It also results in MARC data elements valuation which supports user tasks of 1st group entities had high value، 434 (27. 83%) in the «identifying»، 425 data Element (27. 28%) in the «Obtain»، 147 data elements (9. 44%) in the «Selecting»، 95 data elements (6. 10 percent) in the «Finding» Respectively. The results show partially consistency with the valuation based on this research report.