LAUSR

Abstract This paper investigates the conceptual possibility for, and the institutions relating to a positive right of private property to data. To do so, it distinguishes between structured data, as a designator, and datapoints, which are data embedded in the timeline. The reasoning being explored here is: the agents generating datapoints – he source of the data – have a right to private property to the datapoints they generate. The agents, then, can choose to retain the datapoints or to sell them to data-users, aggregators, etc. Once these data-users render property of data themselves, they can further market it. There are, however, challenges to this view. One is the relative high cost of managing private property to data versus the relative low cost of misappropriating data and datapoints. The other is network effects: more precisely, data created or enriched in networks.