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.
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References
Bakhshi, H., Bravo-Biosca, A., Mateos-Garcia, J.: The analytical firm: estimating the effect of data and online analytics on firm performance. In: Nesta Working Paper 14/05 (2014)
Brynjolfsson, E., McElheran, K.: Data in action: data-driven decision making and predictive analytics in U.S. manufacturing. In: Rotman School of Management Working Paper, No. 3422397 (2019)
Enders, T., Wolff, C., Kienzle, L.: Opening pandora’s box? guiding organizations through selective open data revealing. In: PACIS 2021 Proceedings. 207 (2021). https://aisel.aisnet.org/pacis2021/207
Government of Japan: Science, Technology, and Innovation Basic Plan https://www8.cao.go.jp/cstp/english/sti_basic_plan.pdf. Accessed February 2023
Hitachi, Data lifecycle management. https://www.hitachi.com/rd/glossary/d/data_lifecycle_management.html. Accessed February 2023
IBM, Phases of data lifecycle management. https://www.ibm.com/topics/data-lifecycle-management. Accessed February 2023
Ministry of Internal Affairs and Communications, Information and Communications in Japan 2020. https://www.soumu.go.jp/johotsusintokei/whitepaper/ja/r02/pdf/n3200000.pdf. (in Japanese). Accessed February 2023
National Research Council: Sharing Research Data The National Academies Press: Washington. DC, USA (1985)
Northern Illinois University, Data Management. https://ori.hhs.gov/education/products/n_illinois_u/datamanagement/dmmain.html. Accessed February 2023
O’Dwyer, M., Filieri, R., O’Malley, L.:Establishing successful university–industry collaborations: barriers and enablers deconstructed. J. Technol. Transfer. (2022). https://doi.org/10.1007/s10961-022-09932-2
Päällysaho, S., et al.: Key aspects of open data in finish RDI cooperation between higher education and businesses. Data Intell. 3(1), 176–188 (2021)
Perkmann, M., Schildt, H.: Open data partnerships between firms and universities: the role of boundary organizations. Res. Policy 44(5), 1133–1143 (2015)
Roman, M., Liu, J., Nyberg, T.: Advancing the open science movement through sustainable business model development. Ind. High. Educ. 32(4), 226–234 (2018)
Acknowledgments
The research was supported by ROIS NII Open Collaborative Research 2022-22S0401, and JSPS Grants-in-Aid for Scientific Research, Grant Number JP22K01733.
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Toda, Y., Nakanishi, H. (2023). Data Management in Industry–Academia Joint Research: A Perspective of Conflicts and Coordination in Japan. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Lecture Notes in Networks and Systems, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-031-35308-6_27
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