Managing, appropriating and protecting shared data in open innovation – from open data to the use of trade secrets and other forms of Intellectual Property
| Item Type | Conference or Workshop Item (Other) |
| Abstract | Currently there is a great debate running in academia as well as in industry practice how, whether and possibly why open data approaches would foster economic wealth, compared to traditional approprietary approaches that keep intellectual property, trade secret and economic valuable data rather proprietary. In particular, the emerging concept of the “data economy” has led to a recognition of an increased need to share data between different economic entities in collaborative open innovation set-ups. This in turn raises question on how to best protect data while at the same type foster data sharing. The track could discuss submissions that deal with the opportunities, risks and insights of open data approaches vs. traditional concepts that favor to keep data, trade secrets and intellectual property closed; or ambivalent as well as mixed approaches. |
| Authors | Bader, Martin A. & Radauer, Alfred |
| Language | English |
| Keywords | open data, proprietary data, trade secrets collaboration, intellectual property management |
| Subjects | business studies economics law |
| HSG Classification | contribution to scientific community |
| HSG Profile Area | SoM - Business Innovation |
| Date | September 2022 |
| Publisher | European Policy for Intellectual Property Association (EPIP) |
| Event Title | 17TH ANNUAL CONFERENCE OF THE EPIP ASSOCIATION ”OPENING IP FOR A BETTER WORLD?” |
| Event Location | Cambridge, UK |
| Event Dates | Sep 14-16, 2022 |
| Official URL | https://www.epip.eu/epip-conferences |
| Depositing User | Prof. Dr. Martin A. Bader |
| Date Deposited | 26 Jul 2022 15:18 |
| Last Modified | 26 Jul 2022 15:18 |
| URI: | https://www.alexandria.unisg.ch/publications/266759 |
DownloadFull text not available from this repository.CitationBader, Martin A. & Radauer, Alfred: Managing, appropriating and protecting shared data in open innovation – from open data to the use of trade secrets and other forms of Intellectual Property. [Conference or Workshop Item] Statisticshttps://www.alexandria.unisg.ch/id/eprint/266759
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