A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals
Case study of SDG 13—Climate Action
Bibliographic Data
| ID | 21255738 |
|---|---|
| Authors | Philip J Purnell (0000-0003-3146-2737, Leiden University, corresponding author) |
| Year | 2022 |
| Volume | 3 |
| Issue | 4 |
| Pages | 976-1002 |
| Publication date | 2022-12-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quantitative Science Studies (JOURNAL) |
| Journal identifiers | ISSN: 2641-3337 • E-ISSN: 2641-3337 |
| Publisher | MIT Press (PUBLISHER • US) |
| DOI | 10.1162/qss_a_00215 |
| OpenAlex | W4300773433 |
| Language | EN |
| Citations received | 10 |
| References cited | 32 |
As sustainability becomes an increasing priority throughout global society, academic and research institutions are assessed on their contribution to relevant research publications. This study compares four methods of identifying research publications related to United Nations Sustainable Development Goal 13—Climate Action (SDG 13). The four methods (Elsevier, STRINGS, SIRIS, and Dimensions) have each developed search strings with the help of subject matter experts, which are then enhanced through distinct methods to produce a final set of publications. Our analysis showed that the methods produced comparable quantities of publications but with little overlap between them. We visualized some difference in topic focus between the methods and drew links with the search strategies used. Differences between publications retrieved are likely to come from subjective interpretation of the goals, keyword selection, operationalizing search strategies, AI enhancements, and selection of bibliographic database. Each of the elements warrants deeper investigation to understand their role in identifying SDG-related research. Before choosing any method to assess the research contribution to SDGs, end users of SDG data should carefully consider their interpretation of the goal and determine which of the available methods produces the closest data set. Meanwhile, data providers might customize their methods for varying interpretations of the SDGs
Data science · Library science · Management science · Political science · Subject matter · Sustainability · Sustainable development · Climate Change Communication and Perception · Computational and Text Analysis Methods · Computer Science · Engineering · scientometrics and bibliometrics research · Artificial Intelligence
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| Unique citing works | 10 |
|---|---|
| Citations per year | 3.33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |