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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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