Open Collaborative Data as an Innovation Platform for Machine Learning Applications
|Coordinator||Lunds universitet - Datavetenskap|
|Funding from Vinnova||SEK 495 780|
|Project duration||November 2018 - June 2019|
|Venture||Groundbreaking ideas in industrial development|
|Call||Banbrytande idéer inom industriell utveckling 2018|
Purpose and goal
The project aimed at exploring the concept of Open Data Collaboration (ODC) as an innovation platform for industry to innovate, to share costs and to ensure quality of data for training of machine learning applications. We wanted to understand the challenges companies identify, and which opportunities can help to nudge the companies in the direction of ODC. The project has contributed significantly to this understanding. We see ODC as a complement to Open Source Software and a way to approach Open Innovation.
Expected results and effects
The project presented the following main results: -The literature study shows that there are no established solutions to the challenges of open data sharing. - Mapping of status and needs shows that it is an area where companies and the public sector see potential, but lack expertise. - Creating networks - contacts have been established between project partners and actors in the private and public sectors. - Applications for continuation - applications for work with the conceptual parts have been formulated, while the practically applied parts need more time to form consortia.
Planned approach and implementation
Based on the goal to understand challenges and opportunities, we organized five focus groups with 27 attendants from 22 commercial and public organizations. The composition of the focus groups was made based on the affiliation of the participants; company, research organization or public agency, to create a wide variety of participants in the discussion. We analysed the identified challenges in the attached report. Based on the main findings, we propose several topics for a research agenda.