Access and Reuse of Machine-Generated Data for Scientific Research
Data driven innovation holds the potential in transforming current business and knowledge discovery models. For this reason, data sharing has become one of the central points of interest for the European Commission towards the creation of a Digital Single Market. The value of automatically generated data, which are collected by Internet-connected objects (IoT), is increasing: from smart houses to wearables, machine-generated data hold significant potential for growth, learning, and problem solving. Facilitating researchers in order to provide access to these types of data implies not only the articulation of existing legal obstacles and of proposed legal solutions but also the understanding of the incentives that motivate the sharing of the data in question. What are the legal tools that researchers can use to gain access and reuse rights in the context of their research?
|Keywords||machine-generated data, Internet of Things, scientific, research, personal data, GDPR|
|Persistent URL||dx.doi.org/10.5553/ELR.000136, hdl.handle.net/1765/122485|
|Series||Erasmus Law Review|
|Journal||Erasmus Law Review|
Giannopoulou, A. (2019). Access and Reuse of Machine-Generated Data for Scientific Research. Erasmus Law Review, 12(2), 155–165. doi:10.5553/ELR.000136