The open science literature has focused on ways to increase the openness of research data at universities, while links with industry in the context of open innovation have received less attention. The aim of this paper is to increase understanding of how open science can lead to open innovation.
Big data can provide immense economic, scientific and social value. New value and information can be derived from big data by linking up existing data sets. This has pushed organisations to pursue open data initiatives. These initiatives can be found among government, industry and academia.
While organisational benefits are clear to pursue open innovation in the field of big data, individual researchers’ motivation for opening their big data sets have not been addressed to make open science realise its true potential.
There exists today little motivation for researchers to share their research data, which is their source of scientific reputation. This paper addresses this major challenge for open science and identifies alternative business models for researchers to open their data repositories for external users. Our research question is “How to open big data in a way that it can be transferred to sustainable business cases that bring value to data owners as well as potential external users?” Our paper is based on a case study of a Finnish foundation and its currently closed database.
Inter-sectorial (industry-RTO-academia) mobility of staff is known to be an enabler for Open Innovation/Science and is implemented already in various European, national and regional (co-funded) programmes. However, the design and implementation can still be improved, lowering barriers and removing overhead bottlenecks, to allow beneficiaries to fully leverage on the inherent potential of bringing cooperating people together in a different context.
Quick user guide to assist users in the contribution of new content to the Knowledge Database
Developing design methods can be described as a process similar to product development processes. Following agile approaches is worthwhile in order to identify relevant requirements of potential users at early stages of method's maturity. Live-Labs, as a controllable research environment located between laboratory and field studies, provide an environment whose results are neither too specific nor too generic. In this paper, an agile development of a method for process planning depending on product attributes is presented.
Poster presented at the 2018 Marie Curie conference: https://www.mariecuriealumni.eu/events/2018-mcaa-conference-general-assembly showcasing Open Innovation using different schemes between a large enterprise and a university.
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This brochure includes "real life" experiences from practitioners in science and industry that illustrate best practices in the field of Open Innovation. These case studies exemplify key lessons in relevant University-Industry-Society interfacing schemes, which cover a wide range of approaches and advances far beyond the traditional role of the interface as a facilitator of knowledge transfer from university to business.