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Detail publikačního výsledku
KÖVÁRI, A.; PASIN, M.; MEDUNA, A.
Originální název
The Dimensions API: a domain specific language for scientometrics research
Anglický název
Druh
Článek WoS
Originální abstrakt
We describe the Dimensions Search Language (DSL), a domain-specific language for bibliographic and scientometrics analysis. The DSL is the main component of the Dimensions API (version 2.12.0), which provides end-users with a powerful, yet simple-to-learn and use, tool to search, filter, and analyze the Dimensions database using a single entry point and query language. The DSL is the result of an effort to model the way researchers and analysts describe research questions in this domain, as opposed to using established paradigms commonly used by software developers e.g., REST or SOAP. In this article, we describe the API architecture, the DSL main features, and the core data model. We describe how it is used by researchers and analysts in academic and business settings alike to carry out complex research analytics tasks, like calculating the H-index of a researcher or generating a publications' citation network.
Anglický abstrakt
Klíčová slova
Dimensions Search Language (DSL), research analytics, data science, domain specific languages, API, data analysis, scientometrics
Klíčová slova v angličtině
Autoři
Rok RIV
2026
Vydáno
01.10.2025
Nakladatel
Frontiers Media Sa
Periodikum
Frontiers in Research Metrics and Analytics
Svazek
10
Číslo
Stát
Švýcarská konfederace
Strany od
1
Strany do
Strany počet
URL
https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2025.1514938/full
Plný text v Digitální knihovně
http://hdl.handle.net/11012/256345
BibTex
@article{BUT201447, author="Adam {Kövári} and {} and Alexandr {Meduna}", title="The Dimensions API: a domain specific language for scientometrics research", journal="Frontiers in Research Metrics and Analytics", year="2025", volume="10", number="10", pages="1--10", doi="10.3389/frma.2025.1514938", url="https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2025.1514938/full" }