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Chapter 12. The Method in Action: Dataspace > Finding Your Place in Dataspace

Finding Your Place in Dataspace

Dataspace expands the scope of transferable data to an unprecedented magnitude. Due to the scale of this data, the obvious questions are: How and when does data become information? And how do we make sense of it?

Every time data is collected, it must be organized for expression and transmission. Meaningful information might be drawn from the landscape as a magnet separates ferrous content from a bed of sand, based on the condition of the transfer request. The transfer conditions—or rules determining whether a transfer will occur—should not simply measure access to data; they must also reflect the purpose, context, and method of transmitting a request. For instance, hot, cold, and wet are examples of data—in some circumstances, perhaps the most crucial and relevant data. They could be transmitted as visual signals, but touch is the more natural method of remotely interpreting them.


  

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