I've been doing some work on data representation in the aperspectival space. WIth the number of meaningful indicators growing we are positively overwhelmed with data. More and more often we need a systematic way to parse data that allows us to show meaningful representations of entangled data stacks in relationship with other stacks showing the same results.
The requirements for developing solutions for our data overwhelm are clear. What becomes an issue is the naming of the space where the data is viewed. How do we know what we are looking at, and what language can we use to look at 'cross-domain' data.
This playlist shows some of the forms that I am looking at for the composition of meaning making spaces, but the work is far from complete. The next step is gathering data and prototyping a collection of representative models that can be peer reviewed.
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