liveBook · Manning

Data union

As explained in Data for All

A data union is a collective arrangement through which people jointly govern, manage, or monetize their data.

Who should control the data created by your searches, purchases, movements, and online activity? A data union offers a collective answer: people join together to govern, manage, share, and monetize their personal data. section 4.0 section 6.7

The idea responds to a data economy in which companies often control information and benefit financially from it. Data unions move bargaining power toward individuals by creating organizations that must serve their members’ interests and return value to them. section 4.0 section 6.7

A data union can:

  • Aggregate members’ data so it can be shared, analyzed, or licensed collectively. section 6.7
  • Negotiate with data buyers and distribute returns to members, while operators may receive a portion of sales. section 6.7
  • Create accountable stewardship through fiduciary duties and rules intended to prevent intermediaries from exploiting members’ data. section 6.7

From cooperative model to operating infrastructure

Data intermediaries are compared with cooperatives or credit unions: members pool their data, while an intermediary manages transactions on their behalf. The EU Data Governance Act supports such intermediaries, and Pool is described as providing infrastructure and a marketplace for data unions to scale, query, analyze, and license data products. section 6.7

A data union is therefore more than a shared database. It is an institutional arrangement for turning individual data rights into collective negotiating power, provided that governance remains transparent and aligned with members’ interests. section 4.0 section 6.7

How Data for All covers it

How deep it goes
Defines the arrangement and outlines fiduciary duties, regulatory safeguards, and infrastructure, but does not detail implementation.
Examples
Uses cooperative structures, the EU Data Governance Act, and Pool’s marketplace and backend infrastructure as examples.
What you can do after
Evaluate data intermediaries by their governance, fiduciary duties, safeguards, and distribution of value to members.
How it connects
Connects personal data control with trust, data intermediaries, data pools, data governance, and monetization.

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.