@inproceedings{c4fae24c00c24f1b851d8bdf7a2588e2,
title = "Data Management in Industry–Academia Joint Research: A Perspective of Conflicts and Coordination in Japan",
abstract = "This paper aimed to identify and organize issues that emerge due to interinstitutional differences when handling data in industry–academia collaborations. To achieve this, we interviewed personnel affiliated with companies that were conducting joint research with universities. The interviews revealed three main findings. First, issues related to data management can be classified into three types according to the differences in data creation and handling between collaborators. Second, the medical industry handles data using different methods from those employed by other industries. Third, given the expansion of data distribution opportunities, an increasing number of cases in industry–academia joint research cannot be handled under the conventional contract pattern. It is necessary to establish a new scheme for data management in industry-academia collaboration to cope with these issues.",
keywords = "Data contract, Data management, Data ownership, Industry–academia collaboration, Joint research",
author = "Yuko Toda and Hodaka Nakanishi",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd International Conference on Innovations in Computing Research, ICR 2023 ; Conference date: 04-09-2023 Through 06-09-2023",
year = "2023",
doi = "10.1007/978-3-031-35308-6\_27",
language = "英語",
isbn = "9783031353079",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "319--331",
editor = "Kevin Daimi and \{Al Sadoon\}, Abeer",
booktitle = "Proceedings of the Second International Conference on Innovations in Computing Research (ICR{\textquoteright}23)",
address = "ドイツ",
}