Lecturer Hayashi gave an oral presentation titled "Data Selection and Evaluation Considering Context in Cross-disciplinary Data Collaboration and Value Creation" at the 37th Annual Conference of the Japanese Society for Artificial Intelligence, 2023 on 7th June 2023.

This research was partially supported by Kyodo Printing Co., Ltd.

Title: Data Selection and Evaluation Considering Context in Cross-disciplinary Data Collaboration and Value Creation

Authors: Teruaki Hayashi, Hiroaki Koike, Kosuke Manabe, Takako Aoyagi, Yuki Enami, Tomomi Yamaku, Kei Kato

Abstract: In recent years, there have been growing expectations for value creation through data exchange and collaboration among different companies and organizations. However, one of the factors making data exchange difficult is the problem of inadequate information provided to determine the value of data and the absence of evaluation criteria. Although there is a need to estimate the data value before data exchange, it is not fully understood what kind of information is useful to be provided and what kind of evaluation criteria should be used to evaluate data to facilitate data exchange. In this paper, assuming a case in which data provided by different organizations are combined to create a new service, we discuss the impact of viewing information about the provided data (data catalog and actual data) on data evaluation based on the results obtained from a subject experiment.