TY - GEN
T1 - Investigation of ChatGPT Use in Research Data Retrieval
AU - Yamasaki, Motokazu
AU - Tomiura, Yoichi
AU - Shimizu, Toshiyuki
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - In recent years, huge amounts of research data have been generated, and it has become important to search them efficiently and accurately in order to make use of research data. Existing search engines and keyword-based search methods require users to enter appropriate keywords or phrases, and it is difficult to obtain satisfactory results if users do not have detailed information about the desired data. In this study, we investigated whether ChatGPT could be used to reach the desired research data by users who are not familiar with them. Specifically, we investigated whether users could find the research data cited in a research paper by entering the abstract of the paper into ChatGPT and then asking for the data necessary to write the research paper. The results showed that research data could be found in 65% of the cases, confirming that the use of ChatGPT increases the discoverability of research data.
AB - In recent years, huge amounts of research data have been generated, and it has become important to search them efficiently and accurately in order to make use of research data. Existing search engines and keyword-based search methods require users to enter appropriate keywords or phrases, and it is difficult to obtain satisfactory results if users do not have detailed information about the desired data. In this study, we investigated whether ChatGPT could be used to reach the desired research data by users who are not familiar with them. Specifically, we investigated whether users could find the research data cited in a research paper by entering the abstract of the paper into ChatGPT and then asking for the data necessary to write the research paper. The results showed that research data could be found in 65% of the cases, confirming that the use of ChatGPT increases the discoverability of research data.
UR - http://www.scopus.com/inward/record.url?scp=85180156947&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85180156947&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-8085-7_4
DO - 10.1007/978-981-99-8085-7_4
M3 - Conference contribution
AN - SCOPUS:85180156947
SN - 9789819980840
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 36
EP - 40
BT - Leveraging Generative Intelligence in Digital Libraries
A2 - Goh, Dion H.
A2 - Chen, Shu-Jiun
A2 - Tuarob, Suppawong
PB - Springer Science and Business Media Deutschland GmbH
T2 - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023
Y2 - 4 December 2023 through 7 December 2023
ER -