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Data

As explained in Data for All

Information represented in a form that can be collected, stored, processed, or communicated.

What happens when you search for a recipe, pay for groceries, or use a phone app? Alongside the activity, you may create data about what you searched for, bought, or did. That data can be collected, stored, combined with other information, and used long after the moment has passed. You may not know where it goes or who uses it. section 2.0 section 2.2

This was not always the scale of the problem. Data was once relatively local, static, and difficult to share. Digital systems now make it easy to create and move information continually. Businesses have long used data to understand buying behavior; today, combining sources helps them tailor advertising, messages, products, and offers to individuals. A service described as “free” may be supported by the data its users provide. section 1.0 section 1.4.3 section 2.5.3

Following data from creation to use raises a few practical questions:

  • What did an action reveal? A purchase, survey response, photograph, or app interaction may provide more information than you intended to share. section 2.1 section 1.1.3
  • Where might it go? Organizations can copy data, store it in different countries, and use it in multiple processes; the full path may be hard for you to see. section 2.2
  • What could it influence? Combined data can help organizations understand behavior and target people with messages or offers that do not necessarily serve their interests. section 2.8

A changing picture

Imagine a company predicting what customers will buy next month. Its predictions depend on data about how people behaved before. If behavior changes abruptly, as it did during the COVID pandemic, those predictions can become less reliable. Data is useful, but its age and the circumstances in which it was collected matter. section 2.4.7

The question is not simply whether data should be used. It is who benefits, who gets to decide, and on what terms. Attention to privacy or payment for data is not equally easy for everyone, especially people struggling to meet immediate needs. You can start by sharing only what an activity requires and considering requests to review, manage, or delete information. Those choices cannot reveal or control every downstream use, but they can help you act more deliberately. section 3.3 section 2.1 section 2.2

How Data for All covers it

How deep it goes
Traces data from daily actions through storage, combination, and use, without detailing technical implementation.
Examples
Uses mobile apps, online shopping, photographs, location data, and pandemic-era prediction failures.
What it assumes
Starts with familiar activities such as using apps and shopping online rather than assuming specialist data-systems knowledge.
What you can do after
Practice/perform more deliberate sharing by limiting unnecessary disclosures and considering requests to review, manage, or delete data.
How it connects
Connects data to privacy, data ownership, targeted advertising, predictive models, and poverty.

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