What was the New Knowing groups specific definition or approach to data and data-sharing synergies?
We came in with definitions of data-sharing synergies and did not explicitly redefine them during the session. However, New Knowing served a lense through which we explored, and it informed the concepts that came out: • The use of prediction, intuition, speclation to generate and label data, weak signal processing; • The need for a serendipic space for data generation and gathering (95% of all data is generated serendipically, Ken Fairclough); • Describing data as field, colour, shape, texture, signal (rather than e.g. number); • We compared weak signal processing to speed reading; • The need for a ‘medium’ to pick up weak signals; • Sustainable data – for data to be ‘sustainable’, i.e. be accessible over time and across contexts, the metadata should include (in addition to date, source, unit etc) such speculative descriptions of possible future application that the researcher coding them intuitively can foresee. Martin Woolley described such an evolving data system as an inverted Goog
