![]() ![]() i-Spaces bring together not only technical and application developments but also all aspects needed to foster skills, competencies and best practices. As such, i-Spaces enable stakeholders to develop new businesses facilitated by advanced BDV technologies, applications and business models. The objective is to facilitate large and small companies, public administration, and European and national projects and society, in general, in easily accessing economic opportunities offered by the BDV and developing working prototypes to test the viability of actual business deployments. 8.Įuropean Data Innovation Spaces are the main elements to ensure that research on BDV technologies and novel BDV applications can be quickly tested, piloted and thus exploited in a context with the maximum involvement of all the stakeholders of BDV ecosystems. Finally, the chapter ends with learnt stories and success stories as part of Sect. General collaboration between Data Innovation Spaces and a specific example of creating a European federation are explained in Sect. The impact of the BDVA-recognised i-Spaces in their respective ecosystems is presented in Sect. Section 5 explains the specific certification process implemented by the Big Data Value Association (BDVA) to recognise relevant initiatives in Europe. Section 4 presents the role of i-Spaces in the European landscape and their alignment with other initiatives. The key elements of Data Innovation Spaces, as well as basic expected services, are presented in Sect. 2 introduces the concept of Data Innovation Spaces and their main characteristics. This chapter presents Data Innovation Spaces as environments to test, experiment and deploy new data-driven innovations. 2017) as one of the mechanisms identified to implement its research and innovation strategy, together with (i) lighthouse projects (large-scale demonstrators aimed to showcase the applications of data-driven solutions to different sectors), (ii) technical projects (addressing specific data issues and technical aspects) and (iii) cooperation and coordination projects (to enable international cooperation for efficient information exchange and coordination of activities). The term Data Innovation Space (in short i-Space) was initially coined by the Big Data Value Association (BDVA) and included in the first version of its Strategic Research and Innovation Agenda (SRIA) (Zillner et al. Thereby, i-Spaces contribute to building a community, providing a catalyst for engagement and acting as incubators and accelerators of data-driven innovation, with cross-border collaborations as a key aspect to fully unleash the potential of data to support the uptake of European AI and related technologies. In particular, i-Spaces enable stakeholders to develop new businesses facilitated by advanced Big Data Value (BDV) technologies, applications and business models, bringing together all blocks, actors and functionalities expected to provide IT infrastructure, support and assistance, data protection, privacy and governance, community building and linkages with other innovation spaces, as well as incubation and accelerator services. European Innovation Spaces (or i-Spaces for short) are the main elements to ensure that research on big data value technologies and novel applications can be quickly tested, piloted and exploited for the benefit of all stakeholders. Within the European Big Data Ecosystem, cross-organisational and cross-sectorial experimentation and innovation environments play a central role.
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