Characteristic Analysis of Data Description in Highly Cited Research Data

Authors

  • Naoto Kai Osaka University
  • Toshiki Shimbaru Seinan Gakuin University

DOI:

https://doi.org/10.52731/lir.v001.010

Keywords:

Research data, Reuse, Data description, Citation

Abstract

The publication and utilization of not only evidence data of research results but also many other data associated with research activities are attracting attention as a new indicator for improving research efficiency and evaluating researchers. With the spread of open science, data repositories and data journals for research data have gradually begun to be recognized, and an environment that encourages the reuse of such research data will be further developed in the future. In this study, we focused on data description, which is important for getting an overview of research data. By clarifying the characteristics of data descriptions of highly cited research data, we hope to increase the number of citations, which will lead to the evaluation of researchers and, ultimately, to the evaluation of universities. Specifically, we will analyze the part-of-speech composition ratio of data descriptions and compare the characteristics of the highly cited research data with the low-cited research data.

Author Biography

Toshiki Shimbaru, Seinan Gakuin University

Faculty of Commerce,

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Published

2022-08-25