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Description
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With the increased digitisation of society comes an increase in the role of data. Business analytics, statistics-based AI, the development of digital twins, etc, are typical examples of “data hungry” applications. Such, “data hungry” applications not only need data in different shapes and forms, they also need data from a wide variety of sources. The systems involved in gathering, storing, processing, analysing, and visualising data, have evolved to be complex systems themselves, involving many actors of widely differing nature. We argue that, as such, these complex systems can be best thought of as ‘data ecosystems’, which we see as involving the entire complex of social / physical / digital actors which provide, own, sell, buy, exchange, manipulate, store, and use, data. Within these data ecosystems, one needs to deal with technical concerns regarding reliability, performance, interoperability, semantics, etc, as well as social concerns, such as value of data, privacy, trust, ownership, ethics, risk, etc. In line with this, we argue that there is a need to define / study ‘data ecosystems’ more closely, where we see a potential future role for the VMBO community (2020-01-16)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. *** (2025-12-05)
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