Iranian Journal of Information Processing & Management (Mar 2013)

Bibliographic Relationships in MARC and Consistent with FRBR Model According to RDA Rules

  • Mahsa Fardehoseiny,
  • Seyed Ebrahim Emrani,
  • Mehrdokht Vazirpour Keshmiri

Journal volume & issue
Vol. 28, no. 2
pp. 545 – 566

Abstract

Read online

This study was conducted to investigate the bibliographic relationships in the MARC and it’s consistency with the FRBR model. With establishing the necessary relations between bibliographic records, users will retrieve their necessary information faster and more easily. It is important to make a good communication in existing bibliographic records to help users to find what they need. This study’s purpose was to define the relationships between bibliographic records in the National Library's OPAC database and the study’s method was descriptive content analysis approach. In this study, the online catalog (OPAC) National Library of Iran has been used to collect information. All records with the mentioned criteria listed in the final report of the IFLA bibliographic relations about the first group entities in FRBR model and RDA rules has been implemented and analyzed. According to this study, if software has been developed in which the data transferring was based on the conceptual model and the MARC’s data that already exists in the National Library's bibliographic database, these relationships will not be transferable. Withal, in this study the relationships on consistent FRBR and MARC concluded with an intelligent mind and the machine is unable to detect them. The results of this study showed that the relations which conveyed from MARC to FRBR, was about 47/70 percent of the MARC fields, in other hand by FRBR to MARC with the use of all intelligent efforts, and diagnosis of MARC relationships, only 31/38 percent of the relations can be covered through the MARC. But based on real data and usable fields in Boostan-e-Saadi with MARC pattern, records on the National Library of Iran showed that the results reduced to 16/95 percent..

Keywords