Metadata change in traditional library collections and digital repositories: Exploratory comparative analysis

Zavalina, Oksana L.; Shakeri, Shadi; Kizhakkethil, Priya

doi:10.1002/pra2.2015.1450520100146

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…al., ; Zavalina et al, ). Recently, an in‐depth study in which a team of researchers qualitatively categorized metadata change in digital library metadata and compared it with traditional library metadata change categories was conducted (Zavalina et al, ; Zavalina & Kizhakkethil, ; Zavalina, Shakeri, & Kizhakkethil, ).…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…In addition, metadata versioning can be put in place to help reflect changes in our understanding of the object (Zavalina, Shakeri, & Kizhakkethil, 2015). The addition of extra information within the metadata, or accompanying the metadata, allows us to record explanations for the changes made.…”

Section: Recording Change Purpose and Provenancementioning

confidence: 99%

Museum Experience Design

Vermeeren¹,

Calvi²,

Sabiescu³

2018

Springer Series on Cultural Computing

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Accessible systems, in digital heritage as elsewhere, should 'speak the user's language'. However, over long time periods, this may change significantly, and the system must still keep track of it. Conceptualising and tracking change in a population may be achieved using a functional and computable model based on representative datasets. Such a model must encompass relevant characteristics in that population and support pre-defined functionality, such as the ability to track current trends in language use. Individual published viewpoints on any given platform may be observed in aggregate by means of a large-scale text mining approach. We have made use of social media platforms such as Twitter and Tumblr to collect statistical information about anonymous users' perspectives on cultural heritage items and institutions. Through longitudinal studies, it is possible to identify indicators pointing to an evolution of discourse surrounding cultural heritage items, and provide an estimate of trends relating to represented items and creators. We describe a functional approach to building useful models of shift in contemporary language use, using data collection across social networks. This approach is informed by existing theoretical approaches to modelling of semantic change. As a case study, we present a means by which such ongoing user modelling processes drawing on contemporary resources can support 'just-in-time' pre-emptive review of material to be presented to the public. We also show that this approach can feed into enhancement of the data retrieval processes.

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“…Several quantitative studies attempted to identify and measure change in metadata records in digital libraries that enable metadata versioning (e.g., Tarver, Zavalina & Phillips, 2016;Zavalina, Phillips & Tarver, 2017). A qualitative research project (e.g., Zavalina, Shakeri, & Kizhakkethil, 2015;Zavalina, Shakeri, Kizhakkethil, & Phillips, 2018) categorized metadata change in digital library metadata and in traditional library metadata.…”

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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Metadata change in traditional library collections and digital repositories: Exploratory comparative analysis

Cited by 5 publications

References 6 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

Museum Experience Design

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

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