In an age of hyper-abundance, to search is to find. The long research journey downwards through a catalogue and into an archive has been replaced by an algorithm ensuring the first page of results is ‘good enough’. This presentation argues that despite the claim, it is simply not so; it is not ‘good enough’.  While current systems of search and discovery effectively hide and distort the context of research data, good scholarship demands a dialogue between data and its source.  By demonstrating how a ‘macroscope’ can be used to practise distant and close readings of large datasets such as the Old Bailey Online, and library and archival catalogues, it suggests that we can re-imagine search, discovery and research, to provide a new form of ‘radical contextualisation’.  It argues that digital history requires more than a different set of tools; it also requires a different approach to representing the evolving infrastructure.

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