liveBook · Manning

Lifecycle

As explained in Data for All

A data life cycle is the sequence of stages through which data passes from creation through transformation, use, analysis, and derivative creation.

Everyday actions such as browsing, shopping, watching videos, using apps, and playing games create data. That creation is only the beginning: data can be combined, analyzed, and used to produce more data. section 7.2

A data life cycle can extend through several stages:

  • Data is created as a direct or indirect result of an action. section 7.2
  • Data is aggregated or integrated, then used as raw material for new data. section 7.2
  • Data is analyzed for patterns and extended into further data and derivatives. section 7.2

You are part of this cycle. Conscious choices about how your data is stored, managed, and used can help you take control of it and consider its effects on people you care about. section 1.1.3

Everyday traces

A walk through a city with street surveillance, browsing a website, or sharing a photograph can create data with consequences beyond the original action. section 1.1.3

How Data for All covers it

How deep it goes
Traces data from everyday creation through aggregation, integration, analysis, and derivative creation without detailing technical processes.
Examples
Illustrates data creation with browsing, shopping, apps, games, city surveillance, and photographs.
What you can do after
Apply it by making conscious choices about how personal data is stored, managed, and used.
How it connects
Connects data creation with aggregation, integration, data analysis, and derived data.

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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.