1 دانشگاه تربیت مدرس
2 پژوهشگاه علوم و فناوری اطلاعات ایران
عنوان مقاله [English]
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.