Scholarly Identification Systems in a Global Market: The ORCID Solution

Mallery, Mary

doi:10.1080/10572317.2016.1243962

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…The number of profiles on the two AIDs were quite similar: from 152 (14.5%) for ResearcherID to 179 (17.1%) for ORCID. Surprisingly, while ORCID is considered as the “leading global scholarly ID registry” [ 31 ] and is “the de facto standard unique researcher identifier” [ 32 ], few researchers in the Caen University use this service (n = 179; 17.1%). This may be because, unlike other countries (e.g.…”

Section: Resultsmentioning

confidence: 99%

Use of author identifier services (ORCID, ResearcherID) and academic social networks (Academia.edu, ResearchGate) by the researchers of the University of Caen Normandy (France): A case study

Boudry

Durand-Barthez

2020

PLoS ONE

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The purpose of this paper was to assess the presence of researchers on two author identifier services (ORCID and ResearcherID) and to compare the results with two academic social networks (Academia.edu and ResearchGate) using the categories of discipline, career advancement, and gender in a medium sized multidisciplinary university in France (University of Caen Normandy). Metrics such as number of publications per researcher, h-indexes, and average number of citations were also assessed. Of the 1,047 researchers studied, 673 (64.3%) had at least one profile on the four sites, and the number of researchers having multiple profiles decreased as more sites were studied. Researchers with only one profile numbered 385 (36.8%), while 204 (19.5%) had two, 68 (6.5%) had three, and only 16 (1.5%) had four. ResearchGate had by far the highest number of researchers present, with 569 (54.3%), whereas presence on the other sites was about 15%. We found that, apart from Academia.edu, researchers in Sciences, Technology, and Medicine (STM) were over-represented. Overall, experienced male researchers were over-represented on the sites studied. Our results show that, because of the numerous profiles lacking publication references (particularly on ORCID) and a low presence of researchers on the four sites studied (except for ResearchGate), assessing the number of publications, h-indexes, or average number of citations per article of individuals or institutions remains challenging. Finally, our data showed that French researchers have not adopted the use of the two author identifier sites (i.e. ORCID and ResearcherID). As long as French researchers remain reticent, these sites will not be able to provide the services for which they were created: addressing the problem of author misidentification, consequently providing exhaustive access to scientific production and bibliometric indicators of individual researchers and their institutions.

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Section: Resultsmentioning

confidence: 99%

Use of author identifier services (ORCID, ResearcherID) and academic social networks (Academia.edu, ResearchGate) by the researchers of the University of Caen Normandy (France): A case study

Boudry

Durand-Barthez

2020

PLoS ONE

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“…To address the problems, a few studies have recently begun to use the Open Researcher & Contributor ID (ORCID) 4 data as an authority source to label name instances for disambiguation evaluation (e.g., Kim 2018;Kim 2019b;Kim et al 2019). Similarly, several studies have discussed the potential of using ORCID for authority control within and across digital libraries (e.g., Francis 2013;Mallery 2016;Thomas, Chen and Clement 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Kim et al, 2019). Similarly, several studies have discussed the potential of using ORCID for authority control within and across digital libraries (e.g., Francis, 2013;Mallery, 2016;Thomas, Chen, & Clement, 2015). ORCID is an open platform of more than 5 million researcher profiles curated by individual researchers for education history, authorship, and employment information (Haak, Fenner, Paglione, Pentz, & Ratner, 2012).…”

Section: Introductionmentioning

confidence: 99%

ORCID-linked labeled data for evaluating author name disambiguation at scale

Kim

Owen‐Smith

2021

Scientometrics

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How can we evaluate the performance of a disambiguation method implemented on big bibliographic data? This study suggests that the open researcher profile system, ORCID, can be used as an authority source to label name instances at scale. This study demonstrates the potential by evaluating the disambiguation performances of Author-ity2009 (which algorithmically disambiguates author names in MEDLINE) using 3 million name instances that are automatically labeled through linkage to 5 million ORCID researcher profiles. Results show that although ORCID-linked labeled data do not effectively represent the population of name instances in Author-ity2009, they do effectively capture the ‘high precision over high recall’ performances of Author-ity2009. In addition, ORCID-linked labeled data can provide nuanced details about the Author-ity2009’s performance when name instances are evaluated within and across ethnicity categories. As ORCID continues to be expanded to include more researchers, labeled data via ORCID-linkage can be improved in representing the population of a whole disambiguated data and updated on a regular basis. This can benefit author name disambiguation researchers and practitioners who need large-scale labeled data but lack resources for manual labeling or access to other authority sources for linkage-based labeling. The ORCID-linked labeled data for Author-ity2009 are publicly available for validation and reuse.

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Precisión de los perfiles de autor en portales institucionales de producción científica

Bravo-García,

Merlo Vega,

Montoya-Roncancio

2024

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Las universidades difunden su producción científica a través de portales de investigación donde integran las publicaciones de sus investigadores, las cuales proceden de bases de datos bibliográficas como Web of Science. Este estudio examinó la correspondencia entre la información de los investigadores de la Universidad de Salamanca en Web of Science y en el Portal de la Investigación de la USAL. La metodología empleada fue mixta e incluyó técnicas de análisis automatizados y manuales para el tratamiento de datos de Web of Science que permitieron identificar las inconsistencias en los datos de publicaciones y autores. Se desarrolló una metodología en cinco fases que apoyó en la extracción semiautomática de identificadores ResearcherID de Web of Science de los investigadores que carecían de dicho identificador en el Portal USAL, así como en la validación de la corrección de los identificadores existentes. El método utilizado en el análisis y en la tipificación de incidencias son replicables en cualquier entidad de investigación. Las conclusiones determinan la consistencia de la información procedente de Web of Science, abogan por la autonomía de las plataformas institucionales de las fuentes externas y ofrecen soluciones para alcanzar la mejor calidad en los datos de una universidad en las plataformas comerciales de producción científica.

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Scholarly Identification Systems in a Global Market: The ORCID Solution

Cited by 3 publications

References 6 publications

Use of author identifier services (ORCID, ResearcherID) and academic social networks (Academia.edu, ResearchGate) by the researchers of the University of Caen Normandy (France): A case study

Use of author identifier services (ORCID, ResearcherID) and academic social networks (Academia.edu, ResearchGate) by the researchers of the University of Caen Normandy (France): A case study

ORCID-linked labeled data for evaluating author name disambiguation at scale

Precisión de los perfiles de autor en portales institucionales de producción científica

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