All of us produce valuable data by writing posts, using chat programmes, watching videos, buying goods, driving cars, opening smart fridges, clicking links and even just carrying a smartphone in the back pocket of our jeans. This data is a resource, capital and commodity produced by users of data-driven products and services. The value of data has been repeatedly called oil of the 21st century. Who owns and controls the value of this resource?
"Data value added" is a design research focused on how the value derived from the asset of personal data should be distributed more equitably, under what principles and the most important: among whom.
Who owns the data, controls its value!
Essay on potential property models for personal data.
Personal data is an integral part of data-driven business models. Its role can be seen in targeted ads, related and suggested content and pricing optimizations. Produsers, meanwhile, have neither access to the profits derived from data use, nor, as a rule, do they grasp that they actually produce. Is data not comparable with property, skills, experience or ability, the application of which, by an individual, results in remuneration to which they are fully entitled? If it is, are contemporary data-driven business models unregulated exploitation?
Personal Data Ownership
Speculative wikipedia article on non existent Data Ownership Rights.
In this article we reveal multiple ways to effectively protect data as a resource, commodity and capital. Our approach was not to break, but to respectfully analyze law to understand its principles and interests of all the parties that are involved in data-driven value chains. We examined possibilities for the profits made here to contribute to public, individual and business interests in brave new and fair ways. These ideas might should be considered by legislators. Though what is important for us, in the first place, is to spread these ideas among produsers of data.
Where do produsers look and find something they don’t but want to know about? In reality they would not look for potentially curious laws, but google something like “wiki data ownership”. Produsers, and we among them, trust Wikipedia for transparent (of course not without exceptions) and collaborative format.
We do not have a ready for parliamentary reading manifesto. Yet we have a framework, for speculative regulations of real Data Protection.
System for the communication and preservation of data value, its fair distribution and exchange.
Adil is a menubar desktop application for Mac OS that:
- Collects data from Google Search to preserve produced data.
- By generating fake Google Search requests it neutralizes data, that is collected by Google itself, so that only the Adil User has the real data set. The real data will always be only in the hands of the user.
- At Adil’s stock exchange users have the possibility to trade produced data and its parts with interested companies, institutions and organizations for an exchange rate they find acceptable.