A method for examining metadata quality in open research datasets using the OAI-PMH and SQL queries: the case of the Dublin Core 'Subject' element and suggestions for user-centred metadata annotation design

Balatsoukas, Panos; Rousidis, Dimitris; Garoufallou, Emmanouel

doi:10.1504/ijmso.2018.096444

Cited by 4 publications

(3 citation statements)

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“…Many researches explore and analyze the quality of metadata stored in repositories under different perspectives (Bui and Park, 2006;Díaz et al, 2012;Rousidis et al, 2014;Balatsoukas et al, 2018). In some of them (Bui and Park, 2006;Rousidis et al, 2014;Balatsoukas et al, 2018), the harvesting of the repository metadata is done using the OAI-PMH protocol (Open Archives Initiative Protocol for Metadata Harvesting) for the following analysis. The OAI-PMH Validator & Data extractor is able to download all records from digital libraries, parallelly or individually, and analyze compliance of metadata with OAI-PMH, Dublin Core (DC) and other standards (Banos, 2011).…”

Section: Related Work On Metadata Quality and Metadata Standards 21 Metadata Qualitymentioning

confidence: 99%

“…The OAI-PMH Validator & Data extractor is able to download all records from digital libraries, parallelly or individually, and analyze compliance of metadata with OAI-PMH, Dublin Core (DC) and other standards (Banos, 2011). The data harvesting methodologies used by Bui and Park (2006), Rousidis et al (2014) and Balatsoukas et al (2018) are similar and follow the steps: download of all metadata from catalog, format transformation (involving XML merge) and data analysis using popular tools like Excel® or Access®.…”

Section: Related Work On Metadata Quality and Metadata Standards 21 Metadata Qualitymentioning

confidence: 99%

“…Unlike the OIA-PMH protocol, the elaborated harvester does not download the complete metadata file from the repository; instead, it harvests only the 23 tags of interest of this work and returns a CSV file as output, also eliminating the need for format transformations. For comparison, in this work were collected elements of 35,260 XML files from the repository generating an output 3.4MB file; Balatsoukas et al (2018) downloaded 135MB from a total of 516 xml files.…”

Section: Harvesting and Analyzing Of Metadata Recordsmentioning

confidence: 99%

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Inde Metadata Conformity Indicator

Gottardo

Barbosa

2019

Bol. Ciênc. Geod.

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Metadata represents a set of descriptive information about the data, which aims at facilitating the search, access and use of data. The metadata standards specify the minimum set of elements to be informed and the file structure to ensure interoperability among catalogs. The present work aims at analyzing the adherence of the metadata published in the Brazilian Spatial Data Infrastructure (SDI) repository to the MGB Profile (in Portuguese, Perfil de Metadados Geoespaciais do Brasil) through a conformity indicator. Conformity was evaluated for over 30,000 metadata inserted in the INDE catalog (in Portuguese, Infraestrutura Nacional de Dados Espaciais), in June 2018, considering the set of mandatory and conditional elements of the summarized MGB Profile. These elements were collected from a harvester elaborated by the authors capable of scanning all the metadata of the repository and returning the fields organized into a CSV file. After analysis, it was found that only 28% of metadata conforms to the summarized MGB Profile. The low conformity rate suggests the limited understanding of the standards recommended, regarding both the minimum elements to be informed about each product and the structuration of the information in XML.

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Section: Related Work On Metadata Quality and Metadata Standards 21 Metadata Qualitymentioning

confidence: 99%

Section: Related Work On Metadata Quality and Metadata Standards 21 Metadata Qualitymentioning

confidence: 99%

Section: Harvesting and Analyzing Of Metadata Recordsmentioning

confidence: 99%

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Inde Metadata Conformity Indicator

Gottardo

Barbosa

2019

Bol. Ciênc. Geod.

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Metadata Quality of the National Digital Repository of Science, Technology, and Innovation of Peru: A Quantitative Evaluation

Valles

Injante

Vallejos

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Agregación de repositorios institucionales para la generación de información del desempeño científico de universidades peruanas

Valles-Coral,

Injante,

Hernández-Torres

et al. 2023

Iberoamerican Journal of Science Measurement and Communication

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Objetivo: Este estudio generamos información significativa sobre el desempeño científico de las universidades peruanas mediante la agregación de sus repositorios institucionales, centrándose en el análisis de palabras clave. El objetivo principal fue evaluar y comprender la producción académica y científica de estas instituciones. Metodología: Para lograr este propósito, se siguió un protocolo que involucró varias etapas: análisis y optimización del modelo de base de datos de DSPACE, recuperación y validación de datos utilizando el Protocolo OAI-PMH, obtención de un índice de recursos disponibles en los repositorios, extracción y procesamiento de metadatos, y la extracción de palabras clave para su inclusión en la base de datos. Resultados y discusión: Existe una notable diversidad de palabras clave utilizadas, pues 69.1% aparecen solo una vez, también identificamos una brecha en la producción de tesis entre universidades públicas y privadas. Además, se resalta la discrepancia entre los problemas de la sociedad y las áreas de investigación estudiadas en las universidades, enfatizando la importancia de alinear mejor la producción académica con las demandas regionales. Conclusiones: Es necesario mejorar la gestión de los repositorios institucionales en las universidades peruanas debido a marcada diversidad en el uso de palabras clave, la brecha en la producción de tesis entre universidades públicas y privadas y la desalineación entre las áreas de investigación y las demandas sociales. Esto implica invertir en formación y capacitación de personal para asegurar que los repositorios cumplan su función fundamental de promover la investigación académica, científica y social en beneficio de la sociedad peruana.

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A method for examining metadata quality in open research datasets using the OAI-PMH and SQL queries: the case of the Dublin Core 'Subject' element and suggestions for user-centred metadata annotation design

Cited by 4 publications

References 0 publications

Inde Metadata Conformity Indicator

Inde Metadata Conformity Indicator

Metadata Quality of the National Digital Repository of Science, Technology, and Innovation of Peru: A Quantitative Evaluation

Agregación de repositorios institucionales para la generación de información del desempeño científico de universidades peruanas

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