Misinformation and Bias in Metadata Processing: Matching in Large Databases

Thornburg, Gail; Oskins, W. Michael

doi:10.6017/ital.v26i2.3278

Cited by 10 publications

(9 citation statements)

References 8 publications

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“…To answer this, we relied on quantitative comparative content analysis of a sample of RDA‐based MARC metadata records from the WorldCat database (http://www.worldcat.org). Based on metadata change factors suggested by Thornburg and Oskins (), our assumption for this study was that a major environmental shift such as change in international standards for metadata record creation – namely the recent shift from Anglo‐American Cataloging Rules (AACR2) standard to Resource Description and Access (RDA) standard in 2013 – would naturally spur change in metadata records. Therefore, as a target group of metadata records we selected records based on new RDA standard.…”

Section: Methodsmentioning

confidence: 99%

Quality over time: A longitudinal quantitative analysis of metadata change in RDA‐based MARC bibliographic records representing video resources

Zavalina

Zavalin

Miksa

2016

Proc. Assoc. Info. Sci. Tech.

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Everyday hundreds of millions of metadata records provide users access to information. To remain functional, metadata schemas changes in response to shifts in information user needs and standards of information representation. This poster presents results of the longitudinal quantitative analysis of change occurring in a select group of library metadata records over time. This study traces the evolution of a sample of OCLC WorldCat metadata records created in MARC format according to new RDA standard of information representation. The same records were obtained at four data collection points at approximately one year intervals. Findings reveal a significant increase in the number of instances of a variety of metadata elements: both those introduced by the RDA standard and traditional pre-RDA elements. This study, along with related research, contributes to the understanding of metadata change and its relation to improvements in metadata quality and information access.

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Section: Methodsmentioning

confidence: 99%

Quality over time: A longitudinal quantitative analysis of metadata change in RDA‐based MARC bibliographic records representing video resources

Zavalina

Zavalin

Miksa

2016

Proc. Assoc. Info. Sci. Tech.

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“…The GLIMIR clustering software is a specialization of the matching software developed for the batch loading of records to WorldCat, deduplicating the database, and other search and comparison purposes. 7 This form of GLIMIRization compares an incoming record to database search results to determine what should match for GLIMIR purposes. This is a looser match in some respects than what would be done for merging duplicates.…”

Section: The Environmentmentioning

confidence: 99%

A Candid Look at Collected Works: Challenges of Clustering Aggregates in GLIMIR and FRBR

Thornburg

2014

ITAL

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Creating descriptions of collected works in ways consistent with clear and precise retrieval has long challenged information professionals. This paper describes problems of creating record clusters for collected works and distinguishing them from single works: design pitfalls, successes, failures, and future research. OVERVIEW AND DEFINITIONSThe Functional Requirements for Bibliographic Records (FRBR) was developed by the International Federation of Library Associations (IFLA) as a conceptual model of the bibliographic universe. FRBR is intended to provide a more holistic approach to retrieval and access of information than any specific cataloging code. FRBR defines a work as a distinct intellectual or artistic creation. Put very simply, an expression of that work might be published as a book. In FRBR terms, this book is a manifestation of that work. 1 A collected work can be defined as "a group of individual works, selected by a common element such as author, subject or theme, brought together for the purposes of distribution as a new work." 2 In FRBR, this type of work is termed an aggregate or "manifestation embodying multiple distinct expressions ." 3 Zumer describes aggregate as "a bibliographic entity formed by combing distinct bibliographic units together." 4 Here the terms are used interchangeably.In FRBR, the definition of aggregates applies only to group 1 entities, i.e., not to groups of persons or corporate bodies. The IFLA Working Group on Aggregates has defined three distinct types of aggregates: (1) collections of expressions, (2) aggregates resulting from augmentation or supplementing of a work with additional material, and (3) aggregates of parallel expressions of one work in multiple languages. 5 While noting the relationships between the categories, this paper will focus on the first type.Aggregates of the first type include selections, anthologies, series, books with independent sections by different authors, and so on. Aggregates may occur in any format, from a volume containing both of the J. D. Salinger works Catcher in the Rye and Franny and Zooey to a sound recording containing popular adagios from several composers to a video containing three John Wayne movies.Gail Thornburg (thornbug@oclc.org) is Consulting Software Engineer and Researcher at OCLC, Dublin, Ohio. A CANDID LOOK AT COLLECTED WORKS | THORNBURG 54 THE ENVIRONMENTThe OCLC WorldCat database is replete with bibliographic records describing aggregates. It has been estimated that that database may contain more than 20 percent aggregates. 6 This proportion may increase as WorldCat coverage of recordings and videos tends to increase.In the Global Library Manifestation Identifier (GLIMIR) project, automatic clustering of the records into groups of instances of the same manifestation of a work was devised. GLIMIR finds and groups similar records for a given manifestation and assigns two types of identifiers for the clusters. The first type is Manifestation ID, which identifies parallel records differing only in language of c...

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“…The content of metadata records is influenced by various environmental change over time, including changes in national and international standards for record creation, etc. (Thornburg and Oskins, 2007). To keep pace with these environmental changes, metadata records to be regularly reviewed and updated.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of metadata change in authority data over time: An effect of a standard evolution

Zavalina

Zavalin

2018

Proc. Assoc. Info. Sci. Tech.

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Information community creates, maintains and shares authority data through large‐scale databases of standardized digital records that describe persons, institutions, places, events, and works, as well as relations between them. This submission presents some results of the content analysis study that explores the authority data change over time in response to change in standards. We analysed over 400 thousand of authority records that comply to the new standard, Resource Description and Access (RDA) and are available through the OCLC database. Records were obtained at two data collection points, with an interval of 22 months. Our analysis identified RDA‐based authority data elements that are widely applied and the ones that need more attention by record creators. Findings reveal a significant increase over time in the level of application of some data elements, including several of the Linked Data‐enabling elements. This study contributes to the understanding of metadata change and its relation to functionality of authority records and improved information access. Directions for future research are suggested.

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Misinformation and Bias in Metadata Processing: Matching in Large Databases

Cited by 10 publications

References 8 publications

Quality over time: A longitudinal quantitative analysis of metadata change in RDA‐based MARC bibliographic records representing video resources

Quality over time: A longitudinal quantitative analysis of metadata change in RDA‐based MARC bibliographic records representing video resources

A Candid Look at Collected Works: Challenges of Clustering Aggregates in GLIMIR and FRBR

Evaluation of metadata change in authority data over time: An effect of a standard evolution

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