When data do not make sense

One of my current areas of research interests focuses on how to conceptualise digital data and the ways in which humans make sense of their personal data. Next week I am attending a workshop in Copenhagen run as a part of a series convened by RMIT’s Data Ethnographies Lab. We are addressing the topic of ‘broken data’, or digital data that for some reason do not work, are considered useless or fail to make sense to the people reviewing them.

Drawing on some of my own concepts of digital data, I have produced the following metaphorical alternatives to that of ‘broken data’.

Metaphor 1: if data are liquid, then …

  • there can be blockages in data flows
  • moving data can become stuck
  • contained data can become out of control (like tsunamis or floods)
  • liquid data can become frozen

Metaphor 2: if data are lively, or companion species, then …

  • alive data can die
  • domesticated data can become wild
  • fresh data can decompose
  • healthy data can become sick

Metaphor 3: if data can be eaten/consumed, then …

  • data can become self or considered not-self
  • data can be incorporated or not incorporated
  • data can be digestible or indigestible
  • data can be edible or inedible

 

 

 

 

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