Use of Research Organizations Registry (ROR) identifiers in author academic profilesthe case of Google Scholar Profiles

  1. Orduña-Malea, Enrique 1
  2. Bautista-Puig, Núria 2
  1. 1 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Revista:
Hipertext.net: Revista Académica sobre Documentación Digital y Comunicación Interactiva

ISSN: 1695-5498

Ano de publicación: 2022

Título do exemplar: Interfaces: networks, ecology and evolution

Número: 25

Tipo: Artigo

DOI: 10.31009/HIPERTEXT.NET.2022.I25.11 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Hipertext.net: Revista Académica sobre Documentación Digital y Comunicación Interactiva

Resumo

Els identificadors persistents de les organitzacions de recerca permeten reduir les ambigüitats de les afiliacions, la realització d’anàlisis institucionals precisos i afavoreixen el disseny de bases de dades online acadèmiques modernes adequades per al descobriment i l’avaluació de la recerca. No obstant això, pocs estudis han intentat quantificar el seu grau d’utilització. L’objectiu d’aquest treball és precisament determinar l’ús dels identificadors del registre d’organitzacions de recerca (ROR) als perfils acadèmics d’autor, concretament als perfils de Google Scholar (GSP). Per fer-ho, es van recollir i analitzar tots els perfils de Google Scholar que inclouen el terme ROR en qualsevol dels camps descriptius públics. Els resultats evidencien un baix ús del ROR ID (1.033 perfils), per part de poques institucions (per exemple, la Pontificia Universidad Javeriana de Colòmbia i l’Escola Superior Politècnica del Litoral de l’Equador tenen el 55,7% de tots els perfils), d’autors de baix impacte basat en citacions (el 45,1% dels perfils tenen menys de 100 citacions cadascun), pertanyent principalment a les àrees de Ciències Socials (26,3%), Enginyeria (25,3%) i Ciències Naturals (22,2%). Tot i que Google Scholar no facilita la inclusió d’identificadors, sembla que les institucions de recerca líders del món encara no recomanen als seus investigadors que incloguin aquests identificadors als seus perfils

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Fonte de datos: Dialnet