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Abstract

Purpose - The purpose of this paper is to consider the nature of community information (CI) and proposes a data model, based on the entity-relationship approach adopted in the Functional Requirements for Bibliographic Records (FRBR), which may assist with the development of future metadata standards for CI systems. Design/methodology/approach - The two main data structure standards for CI, namely the element set developed by the Alliance of Information and Referral Systems (AIRS) and the MARC21 Format for CI, are compared by means of a mapping exercise, after which an entity-relationship data model is constructed, at a conceptual level, based on the definitions of CI found in the literature. Findings - The AIRS and MARC21 data structures converge to a fair degree, with MARC21 providing for additional detail in several areas. However, neither structure is systematically and unambiguously defined, suggesting the need for a data model. An entity-relationship data modelling approach, similar to that taken in FRBR, yielded a model that could be used as the basis for future standards development and research. It was found to effectively cover both the AIRS and MARC21 element sets. Originality/value - No explicit data model exists for CI, and there has been little discussion reported about what data elements are required to support CI seeking.

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Abstract

It is suggested that the knowledge organization (KO) field places greater emphasis on basic research that examines the sociology of KO systems (KOS) and the broader, environmental reasons for the development of both formal and informal KOS. This approach is contrasted with applied KO, which focuses on the practical construction or improvement of specific KOS. The preponderance of applied research in the field of KO is confirmed, at least within the document-centric strand more closely aligned with library and information science, through a survey of articles in the Knowledge Organization journal published between 2009 and 2018. The survey utilized the Frascati Manual definitions for basic and applied research, and referenced Tennis's classification of KO research (2008). There is considerable potential for building on the critical tradition of KO, with various areas ripe for further sociological investigation. A sociology of KOS could also be accommodated in the popular KO approach of domain analysis.

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Content

Information resource attributes - metadata for information retrieval - metadata sources and quality - economics and management of metadata - knowledge organization systems - the semantic web - books and e-books, websites and audiovisual resources - business and government documents - learning resources - the field of information/knowledge organization.