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

dc.citation.issue2
dc.citation.volume5
dc.contributor.authorKashnitsky Y
dc.contributor.authorRoberge G
dc.contributor.authorMu J
dc.contributor.authorKang K
dc.contributor.authorWang W
dc.contributor.authorVanderfeesten M
dc.contributor.authorRivest M
dc.contributor.authorChamezopoulos S
dc.contributor.authorJaworek R
dc.contributor.authorVignes M
dc.contributor.authorJayabalasingham B
dc.contributor.authorBoonen F
dc.contributor.authorJames C
dc.contributor.authorDoornenbal M
dc.contributor.authorLabrosse I
dc.contributor.editorLarivière V
dc.date.accessioned2024-10-08T20:04:19Z
dc.date.available2024-10-08T20:04:19Z
dc.date.issued2024-05-01
dc.description.abstractThe 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.
dc.description.confidentialfalse
dc.edition.editionSpring 2024
dc.format.pagination408-425
dc.identifier.citationKashnitsky Y, Roberge G, Mu J, Kang K, Wang W, Vanderfeesten M, Rivest M, Chamezopoulos S, Jaworek R, Vignes M, Jayabalasingham B, Boonen F, James C, Doornenbal M, Labrosse I. (2024). Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals. Quantitative Science Studies. 5. 2. (pp. 408-425).
dc.identifier.doi10.1162/qss_a_00304
dc.identifier.eissn2641-3337
dc.identifier.elements-typejournal-article
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71629
dc.languageEnglish
dc.publisherThe MIT Press
dc.publisher.urihttps://direct.mit.edu/qss/article/5/2/408/120309/Evaluating-approaches-to-identifying-research
dc.relation.isPartOfQuantitative Science Studies
dc.rights(c) The author/sen
dc.rights.licenseCC BY 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectbenchmarking
dc.subjectbibliometrics
dc.subjectmachine learning
dc.subjectscientometrics
dc.subjectsustainability
dc.subjectSustainable Development Goals
dc.titleEvaluating approaches to identifying research supporting the United Nations Sustainable Development Goals
dc.typeJournal article
pubs.elements-id491764
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Published version.pdf
Size:
707.95 KB
Format:
Adobe Portable Document Format
Description:
491764 PDF.pdf
Loading...
Thumbnail Image
Name:
Evidence
Size:
29.78 KB
Format:
Microsoft Word XML
Description:
qss_a_00304-supplementary+material.docx
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:
Collections