TY - JOUR
T1 - Evaluating approaches to identifying research supporting the United Nations Sustainable Development Goals
AU - Kashnitsky, Yury
AU - Roberge, Guillaume
AU - Mu, Jingwen
AU - Kang, Kevin
AU - Wang, Weiwei
AU - Vanderfeesten, Maurice
AU - Rivest, Maxime
AU - Chamezopoulos, Savvas
AU - Jaworek, Robert
AU - Vignes, Maéva
AU - Jayabalasingham, Bamini
AU - Boonen, Finne
AU - James, Chris
AU - Doornenbal, Marius
AU - Labrosse, Isabelle
N1 - Publisher Copyright:
© 2024 Yury Kashnitsky, Guillaume Roberge, Jingwen Mu, Kevin Kang, Weiwei Wang, Maurice Vanderfeesten, Maxime Rivest, Savvas Chamezopoulos, Robert Jaworek, Maéva Vignes, Bamini Jayabalasingham, Finne Boonen, Chris James, Marius Doornenbal, and Isabelle Labrosse.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - 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.
AB - 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.
KW - benchmarking
KW - bibliometrics
KW - machine learning
KW - scientometrics
KW - sustainability
KW - Sustainable Development Goals
UR - http://www.scopus.com/inward/record.url?scp=85204072930&partnerID=8YFLogxK
U2 - 10.1162/qss_a_00304
DO - 10.1162/qss_a_00304
M3 - Artículo
AN - SCOPUS:85204072930
SN - 2641-3337
VL - 5
SP - 408
EP - 425
JO - Quantitative Science Studies
JF - Quantitative Science Studies
IS - 2
ER -