How PDV Works for Individuals in Conjunction with Groups, Organisations, etc
This article is response to a question we got over at our Telegram, asking if PDV (Personal Data Value) is exclusively a way of gaining economic advantage as an individual user, or if there is a community dimension that can play a part in increasing PDV.
The answer to this question is, yes, there is a significant, interrelated community dimension.
This actually gets to the core of Deconomics, the decosystem and the broader aims and goals of Decentr as a company, platform and Web browser.
With this in mind, it is worth answering this question in some detail, using simplified examples.
At the outset, the exact form and permutations of this interrelated community dimension are yet to be finalised (and will, by the very nature of the Decentr concept and design, be ever-evolving and organic in nature as we progress and grow). However, the idea of individualist and collectivist participation (a balance needing to be struck between the two to maintain a healthy society, online and off) being involved in increasing PDV is explicitly accounted for in Deconomic theory.
PDV is the economic expression of the data a user generates, reuses and exchanges online and can be used to improve APY on DEC loaned out as part of our dLoans feature, as well as making the costs of purchases cheaper. As a result, the higher a user’s PDV the better their APY and the cheaper purchases become.
To refer back to the Telegram question that inspired this article, the easiest way to answer is that Decentr is about applying real-world/natural systems to the online environment in order to make Web 3.0 more intuitive.
With this in mind, we need to look at how society works as an interrelated set of mutually supportive “reputation scores”, then see how that applies online to Decentr:
Example 1: In the real world, if someone of good standing joins a socially beneficial club, organisation, etc then both the “social reputation” of the person joining and the club improves by seeing a rise in individual and community standing. As PDV is essentially the “economic expression” of online social reputation (a type of highly granular “reputation score”), then PDV would rise accordingly (for the person and the organisation). Even better, future engagement and interaction by this user with the data that the organisation generates, exchanges and reuses will increase this user’s PDV and the organisation’s and vice versa.
By the way, PDV precludes our system being “gamed”: if you join 50 of the most popular organisations and expect to sit back and watch your PDV skyrocket, think again: engagement and participation are what determines the value of membership in any real-world organisation — the same is true of Decentr/PDV.
Participation is what counts: otherwise the decosystem would begin to mirror the delusions of those with gym membership who never actually turn up to work out (you know who you are!), but assume membership alone bestows some kind of social kudos (hint: it doesn’t— and it doesn’t exactly offer any health benefits either!)
Example 2: “Family Data Value” (FDV) is another good example — and very important in these times when we increasingly see the family unit fracturing to the detriment of individuals and communities (and in many cases this is purely due to economic reasons). On Decentr, a family that links PDVs together as part of an FDV account, communicating and engaging meaningfully online with each other, will see an increase in overall FDV for the family and the PDV of its constituent members, in a similar way to a club, organisation etc.
Example 3: For companies and businesses, the interrelatedness of the company’s “Business Data Value” (BDV ) is the same: BDV affects and is affected by the PDV of employees and other stakeholders, depending on engagement within the company between individuals and their engagement with the company’s data, etc.
That is broadly the idea behind the decosystem/Deconomy: Decentr will be a set of every-growing matrices of community groups, each benefiting the other socially and economically through the connection individuals make, with each other and as part of larger groups, organisations, etc as part of their ever-evolving dNetworks.
This means that a user engaging across a range of groups — for example, a family unit, social club, work account and college website — while also having a dFinance dimension (loaning out DEC as part of our dLoans feature, purchasing online using dPay, etc) is the user with the profile who will see a significant, sustainable rise in PDV. This is especially true where there is overlap between data generation, reuse and exchange between these groups.
Understanding this interrelatedness, in many ways, cuts to the heart of PDV: imagine once a user achieves the above profile how much this interrelated data will be worth to data buyers, companies, researchers, etc. This is because PDV is a hugely granular and accurate, secure and immutable snapshot of you, the user, as a potential customer/research participant etc.
With this in mind, should you, the user, opt-in to release some of the data contained in these every-evolving matrices, your PDV rises even further.
Deep dive this article for a better idea of why/how value is determined by PDV.
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