Year: 2026
Type: conference-paper
Abstract: To encourage the public release of research data under open science, it is beneficial to establish mechanisms for evaluating research data based on metrics such as citation counts.In scholarly papers, authors sometimes cite papers that report the creation or release of research data instead of citing the research data themselves.In this paper, as a step toward computing citation counts of research data, we investigate the feasibility of identifying paper citations that refer to research data.We conducted an identification experiment using large language models and evaluated their performance.
Authors: Koshi Motegi, Koichiro Ito, Shigeki Matsubara
Institution: Nagoya University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166528822