Building interoperable Canadian architecture collections: initial metadata assessment

Park, Eun G.

doi:10.1108/02640470710741331

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…The main issues were that the elements should be populated and used correctly, while precise instructions, descriptions and rules should be set. In addition to general metadata standards, like Dublin Core, researchers have examined metadata quality in the context of specialized repositories, such as architectural repositories [15]; digital libraries [20]; agricultural collections [23]; health databases [16]; and learning object repositories [14]. Despite the heterogeneity of metadata and repositories examined in these studies, there is a common set of metadata issues that appears to influence quality.…”

Section: Metadata Quality Issues In Repositoriesmentioning

confidence: 99%

Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories

Rousidis

Garoufallou

Balatsoukas

et al. 2014

ISU

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Abstract. Data-driven approaches to scientific research have generated new types of repositories that provide scientists the means necessary to store, share and re-use big data-sets generated at various stages of the research process. As the number and heterogeneity of research data repositories increase, it becomes critical for scientists to solve data quality problems associated to the data-sets stored in these repositories. To date, several authors have been focused on the data quality issues associated to the data-sets stored in the repositories, yet there is little knowledge about the quality problems of the metadata used to describe these data-sets. Metadata is important for the long-term sustainability of research data repositories and data re-use. The aim of the research reported in this paper was to identify the data quality problems associated with the metadata used in the Dryad data repository. The paper concludes with some recommendations for improving the quality of metadata in research data repositories.

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Section: Metadata Quality Issues In Repositoriesmentioning

confidence: 99%

Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories

Rousidis

Garoufallou

Balatsoukas

et al. 2014

ISU

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“…Although there are significant literatures in the analysis of metadata quality in digital libraries (Shreeves et al , 2005; Stvilia et al , 2004; Yen and Park, 2006; Ochoa et al , 2011; Kastens et al , 2005; Park, 2007), Europeana (Kapidakis, 2012) and repositories (Palavitsinis et al , 2014a, b), a systematic study from the relevance of digital resources as a learning objects is still missing. More specifically: there are no systematic studies related with the coverage of relevant resources for learning purposes in Europeana digital library.…”

Section: Introductionmentioning

confidence: 99%

Visual analytics of Europeana digital library for reuse in learning environments

Gaona-García

Sánchez‐Alonso

García

2017

OIR

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Purpose The purpose of this paper is to assess whether Europeana can be really seen as the new “Library of Alexandria” for digital resources from the perspective of teachers, academics and researchers that might want to retrieve and reuse those resources for learning purposes. Design/methodology/approach The authors define a systematic method for studying Europeana digital resources and their potential for reuse in e-learning environments. To achieve this, the authors explore the coverage of digital resources when searching information about a specific area. The paper studies the relevance of the results (thematic coverage) provided by queries targeting the resources’ metadata elements defined by the EDM Europeana model. All the data collected for this study from Europeana digital resources are the result of four explorations since 2012-2016. Findings The autors found that Europeana as a digital library has good levels of coverage of digital resources for those terms in the AAT thesaurus explored (terms from the “Styles and Periods” subset). This subset was selected as an example of faceted search given that it is a common search topic in the academic environment. However, it is important to remark the use of common vocabulary words provided by participants in order to obtain relevant results of search based on specific knowledge areas defined by AAT terms. Research limitations/implications This research used a relatively small sample size of resources which may not be representative of the general size of Europeana digital resources. However, the results are illustrative as they are based on a specific knowledge area of AAT (118 terms) which contains very common topics used in high school courses by students and teachers in the field of art and cultural heritage. The study also aspires to provide a systematic method for conducting future studies in other knowledge areas. Originality/value The coverage study aims to analyze if Europeana is a digital library that teachers could use for the development of learning objects in specific knowledge areas, through the reuse of free/open access digital resources.

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“…In this case, the proposed metrics were applied to assess the quality of metadata records within a collection of 150,000 metadata records but no concrete method of improving the metadata quality was suggested. Park () looked at architectural collections of Canadian universities, examining the metadata quality of existing records to support their aggregation for building an interoperable metadata and search interface for Canadian architecture collections. Park found that there had been noticeable issues in metadata description, especially the categorizing of groups of tables and fields.…”

Section: Introductionmentioning

confidence: 99%

Metadata quality in digital repositories: Empirical results from the cross‐domain transfer of a quality assurance process

Palavitsinis

Manouselis²,

Sánchez‐Alonso

2014

Asso for Info Science & Tech

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Metadata quality presents a challenge faced by many digital repositories. There is a variety of proposed quality assurance frameworks applied in repositories that are deployed in various contexts. Although studies report that there is an improvement of the quality of the metadata in many of the applications, the transfer of a successful approach from one application context to another has not been studied to a satisfactory extent. This article presents the empirical results of the application of a metadata quality assurance process that has been developed and successfully applied in an educational context (learning repositories) to 2 different application contexts to compare results with the previous application and assess its generalizability. More specifically, it reports results from the adaptation and application of this process in a library context (institutional repositories) and in a cultural context (digital cultural repositories). Initial empirical findings indicate that content providers seem to be gaining a better understanding of metadata when the proposed process is put in place and that the quality of the produced metadata records increases.

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Building interoperable Canadian architecture collections: initial metadata assessment

Cited by 7 publications

References 4 publications

Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories

Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories

Visual analytics of Europeana digital library for reuse in learning environments

Metadata quality in digital repositories: Empirical results from the cross‐domain transfer of a quality assurance process

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