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Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F24%3A73625111" target="_blank" >RIV/61989592:15210/24:73625111 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://direct.mit.edu/qss/article/doi/10.1162/qss_a_00304/120309/Evaluating-approaches-to-identifying-research" target="_blank" >https://direct.mit.edu/qss/article/doi/10.1162/qss_a_00304/120309/Evaluating-approaches-to-identifying-research</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1162/qss_a_00304" target="_blank" >10.1162/qss_a_00304</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals

  • Popis výsledku v původním jazyce

    The United Nations (UN) Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Recognizing that research plays a fundamental part in supporting these goals, attempts have been made to classify research publications according to their relevance in supporting each of the UN’s SDGs. In this paper, we outline the methodology that we followed when mapping research articles to SDGs and which is adopted by Times Higher Education in its Social Impact rankings. We compare our solution with other existing queries and models mapping research papers to SDGs. We also discuss various aspects in which the methodology can be improved and generalized to other types of content apart from research articles. The results presented in this paper are the outcome of the SDG Research Mapping Initiative, which was established as a partnership between the University of Southern Denmark, the Aurora European Universities Alliance (represented by Vrije Universiteit Amsterdam), the University of Auckland, and Elsevier to bring together broad expertise and share best practices on identifying research contributions to UN’s Sustainable Development Goals.

  • Název v anglickém jazyce

    Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals

  • Popis výsledku anglicky

    The United Nations (UN) Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Recognizing that research plays a fundamental part in supporting these goals, attempts have been made to classify research publications according to their relevance in supporting each of the UN’s SDGs. In this paper, we outline the methodology that we followed when mapping research articles to SDGs and which is adopted by Times Higher Education in its Social Impact rankings. We compare our solution with other existing queries and models mapping research papers to SDGs. We also discuss various aspects in which the methodology can be improved and generalized to other types of content apart from research articles. The results presented in this paper are the outcome of the SDG Research Mapping Initiative, which was established as a partnership between the University of Southern Denmark, the Aurora European Universities Alliance (represented by Vrije Universiteit Amsterdam), the University of Auckland, and Elsevier to bring together broad expertise and share best practices on identifying research contributions to UN’s Sustainable Development Goals.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    QUANTITATIVE SCIENCE STUDIES

  • ISSN

    2641-3337

  • e-ISSN

    2641-3337

  • Svazek periodika

    5

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    18

  • Strana od-do

    408-425

  • Kód UT WoS článku

    001260409900004

  • EID výsledku v databázi Scopus

    2-s2.0-85204072930