CitationIshita, E.; Miyata, Y.; & Kurata, K. (2023). Advantages of Data Reuse Based on Disciplinary Diversity and Citation Count. 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023. Taipei, Taiwan.
AbstractThe adaption of data sharing is an important process in open science. Prior studies pertaining to data sharing have focused on the data release; however, data reuse is also an important aspect. Although the advantages of data reuse have not yet been demonstrated, they have been expressed in different fields. We selected the most cited datasets in the Data Citation Index – the National Longitudinal Study of Adolescent to Adult Health (Add Health) and the Framingham Cohort – and identified articles that reused them to measure the disciplinary diversity among these articles, as well as advantage in terms of citation counts. Particularly, we identified 2,919 articles that reused the Add Health dataset published in 1,702 resources, indicating high disciplinary diversity. Articles reused that the Framingham Cohort dataset had higher citation counts than those in the journal Circulation from 2004 to 2010. Despite our limited analysis, these results indicate the advantages of data reuse.
Reference TypeConference proceeding
Book Title25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023