Music materials, particularly scores and recordings, pose unique demands that must be considered for their successful discovery. Some of the discoverability challenges of music materials in public search interfaces can be addressed simply by ensuring that needed bibliographic description fields are appropriately displayed and indexed in discovery interfaces.Other problems are more difficult to solve. This Music Discovery Requirements document explores the issues and gives concrete recommendations for discovery interfaces. Given that most libraries will be dealing with databases containing large bodies of legacy data recorded according to AACR2 and encoded in MARC, particular attention is paid to MARC data and to AACR2; RDA is addressed to the extent possible. The discussions and recommendations will be useful to those creating or guiding the development of discovery interfaces that will facilitate access to music materials. Furthermore, because the document identifies areas where deficient data creates particular problems for discovery, those inputting or creating standards for data can use this document to identify areas with particular needs for fuller, more consistent data. This open access posting includes three spreadsheet appendices which were not published in Notes.
Open Access/Copyright Notices
This publication first appeared inAnother version of this article (including the spreadsheet appendices, and in-text lists of fields and other metadata specifications) appeared on the Music Discovery Resources section of the Music Library Association website. Future updates will be posted to the Music Library Association website.
Whether you have seven thousand or seven hundred thousand items in your collection, the problems associated with barcoding and with database clean-up remain the same. In 1992, the staff at the University of Arkansas Libraries began a barcoding project. Since the initial project, staff have initiated major cleanup projects to make the catalog more accurate. This article discusses the process of planning and implementing a smart barcoding project and provides details on the subsequent clean-up of an on-line database.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.