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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    QUANTITATIVE SCIENCE STUDIES

  • ISSN

    2641-3337

  • e-ISSN

    2641-3337

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    408-425

  • UT code for WoS article

    001260409900004

  • EID of the result in the Scopus database

    2-s2.0-85204072930