Considerations in New RDA toolkit based on LRM

dc.audienceAudience::Bibliography Sectionen_US
dc.audienceAudience::Acquisition and Collection Development Sectionen_US
dc.contributor.authorMihwa, Lee
dc.coverage.spatialLocation::Republic of Koreaen_US
dc.date.accessioned2023-10-17T11:57:01Z
dc.date.available2023-10-17
dc.date.available2023-10-17T11:57:01Z
dc.date.issued2023-10-17
dc.description.abstractThis study is to suggest considerations for RDA 2020 (New RDA) through interviewing librarians and mapping LRM to RDA 2020. The features of RDA 2020 are as follows: (1) It has its own entities, and attributes, and relation elements which are different from original RDA to reflect LRM (2) It uses domain and range to be able to construct bibliographic data into linked data (3) It hides the traditional cataloging rules' provisions under elements of each entities (4) It has 4 types of description methods such as unstructured, structured, identifier and IRI. Through mapping LRM to RDA 2020 and original. RDA to RDA 2020, some considerations are suggested: (1) It is needed to link original RDA and RDA 2020 in terms of rules or provisions (2) When tracking provisions by linking, give the information about the history from start point to there (3) New method is needed to describe various resource types (4) Display of resource types is designed for users needs.en_US
dc.identifier.urihttps://2023.ifla.org/poster-sessions/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/2988
dc.language.isoenen_US
dc.publisherInternational Federation of Library Associations and Institutions (IFLA)en_US
dc.relation.ispartofseries88th IFLA World Library and Information Congress (WLIC), 2023 Rotterdam;Poster Sessions
dc.rights.holderLee Mihwaen_US
dc.rights.licenseCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectSubject::Resource description and accessen_US
dc.subjectSubject::Library reference modelen_US
dc.titleConsiderations in New RDA toolkit based on LRMen_US
dc.typeEvents Materialsen_US
dc.typePostersen_US
ifla.oPubId0en_US

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Poster: Considerations in New RDA toolkit based on LRM