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Data dividend

As explained in Data for All

A data dividend is financial value returned to an individual in exchange for the use or monetization of that individual's data.

You use search, email, and other services every day. The companies providing them can earn revenue from your data, but you usually receive the service rather than a cash payment. A data dividend is the proposed alternative: money returned to you when your data is used commercially, much like a royalty. section 3.5.7 section 4.6.1

The idea rests on a claim about control: the data you create should generate a revenue stream for you. Payments might arrive regularly as a form of passive income. For someone living on only a few dollars a day, even a modest dividend could matter far more than it would to a higher-income household. section 3.5.7 section 3.5.5 section 3.3.3

In the proposed system, a dividend would depend on choices and arrangements that are not generally available today:

  • Data-management interfaces, data commons, exchanges, and pricing norms would let people manage access and payments. section 3.5.5
  • A data intermediary account could receive payments and direct them toward everyday expenses, family members, institutions, or charities. section 8.7 section 6.9
  • People could seek higher-paying uses of their data or restrict access when they object to a company's conduct. section 6.9

There is no dependable amount to put in a household budget yet. Data may command different prices depending on demand, spending patterns, health information, location, and other circumstances. A proposed dividend therefore raises a question of fairness as well as price: who benefits when some people's data is worth more to buyers than others'? section 8.7.1 section 3.3.3

What might a payment look like?

One hypothetical calculation asked what would happen if Facebook shared half its profit with the people supplying its data. It estimated $10.77 per quarter for an average user. That is an illustration open to debate, not an established payment or a forecast of your dividend. section 8.7.1

For now, treat the data dividend as a proposal, not an income stream you can claim. Its promise depends on workable rules, services, and markets that give individuals meaningful control. You can begin by considering what uses of your data you would accept, and by making your views on data rights known. section 3.5.5 section 3.7

How Data for All covers it

How deep it goes
Explains proposed payments, spending choices, and valuation factors, while leaving the payment system undeveloped and the amount uncertain.
Examples
Uses grocery purchases, royalty checks, household expenses, and a hypothetical Facebook profit-sharing calculation to make payments concrete.
What it assumes
Starts with familiar digital services and spending decisions rather than assuming knowledge of data markets.
What you can do after
Evaluate/understand the proposed benefit of a data dividend without mistaking speculative amounts for available income.
How it connects
Connects data dividends to data ownership, data monetization, passive income, data intermediaries, and music royalties.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data for All. The section links point to the parts of the book it draws on.