<abstract xmlns="http://www.w3.org/1999/xhtml"><sec><h3>Purpose</h3><p>Our work seeks to overcome data quality issues related to incomplete author affiliation data in bibliographic records in order to support accurate and reliable measurement of international research collaboration (IRC).</p></sec><sec><h3>Design/methodology/approch</h3><p>We propose, implement, and evaluate a method that leverages the Web-based knowledge graph Wikidata to resolve publication affiliation data to particular countries. The method is tested with general and domain-specific data sets.</p></sec><sec><h3>Findings</h3><p>Our evaluation covers the magnitude of improvement, accuracy, and consistency. Results suggest the method is beneficial, reliable, and consistent, and thus a viable and improved approach to measuring IRC.</p></sec><sec><h3>Research limitations</h3><p>Though our evaluation suggests the method works with both general and domain-specific bibliographic data sets, it may perform differently with data sets not tested here. Further limitations stem from the use of the R programming language and R libraries for country identification as well as imbalanced data coverage and quality in Wikidata that may also change over time.</p></sec><sec><h3>Practical implications</h3><p>The new method helps to increase the accuracy in IRC studies and provides a basis for further development into a general tool that enriches bibliographic data using the Wikidata knowledge graph.</p></sec><sec><h3>Originality</h3><p>This is the first attempt to enrich bibliographic data using a peer-produced, Web-based knowledge graph like Wikidata.</p></sec></abstract>

PurposeOur work seeks to overcome data quality issues related to incomplete author affiliation data in bibliographic records in order to support accurate and reliable measurement of international research collaboration (IRC).Design/methodology/approchWe propose, implement, and evaluate a method that leverages the Web-based knowledge graph Wikidata to resolve publication affiliation data to particular countries. The method is tested with general and domain-specific data sets.FindingsOur evaluation covers the magnitude of improvement, accuracy, and consistency. Results suggest the method is beneficial, reliable, and consistent, and thus a viable and improved approach to measuring IRC.Research limitationsThough our evaluation suggests the method works with both general and domain-specific bibliographic data sets, it may perform differently with data sets not tested here. Further limitations stem from the use of the R programming language and R libraries for country identification as well as imbalanced data coverage and quality in Wikidata that may also change over time.Practical implicationsThe new method helps to increase the accuracy in IRC studies and provides a basis for further development into a general tool that enriches bibliographic data using the Wikidata knowledge graph.OriginalityThis is the first attempt to enrich bibliographic data using a peer-produced, Web-based knowledge graph like Wikidata.

A Novel Method for Resolving and Completing Authors’ Country Affiliation Data in Bibliographic Records

Posts and Telecommunications Institute of Technology

Berlin School of Library and Information Science

Te Pūnaha Matatini - The New Zealand Centre of Research Excellence for Complex Systems and Networks

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

PurposeOur work seeks to overcome data quality issues related to incomplete author affiliation data in bibliographic records in order to support accurate and...

A Novel Method for Resolving and Completing Authors’ Country Affiliation Data in Bibliographic Records

Article Category: Research Paper

Publié en ligne: 09 juil. 2020

Pages: 97 - 115

Reçu: 01 févr. 2020

Accepté: 11 juin 2020

DOI: https://doi.org/10.2478/jdis-2020-0020

Mots clés
International research collaboration measurement, Bibliographic data, Country identification, Knowledge graphs, Wikidata, Open data

© 2020 Ba Xuan Nguyen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Novel Method for Resolving and Completing Authors’ Country Affiliation Data in Bibliographic Records

Article Category: Research Paper

Publié en ligne: 09 juil. 2020

Pages: 97 - 115

Reçu: 01 févr. 2020

Accepté: 11 juin 2020

DOI: https://doi.org/10.2478/jdis-2020-0020

Mots clésInternational research collaboration measurement, Bibliographic data, Country identification, Knowledge graphs, Wikidata, Open data

© 2020 Ba Xuan Nguyen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
International research collaboration measurement, Bibliographic data, Country identification, Knowledge graphs, Wikidata, Open data