What term does the framework say has been used pejoratively for browsing data for something interesting?

1. The framework uses the term while describing the statistical tradition's suspicion of open-ended exploration. 2. It writes: "The discovery process, or browsing data for something interesting, has been described pejoratively as data dredging, which does not result in definitive answers to a hypothesis." 3. The complaint is about what dredging cannot deliver. Without a hypothesis stated in advance, a pattern found by searching is not a definitive answer. 4. The framework then rehabilitates the practice for data science: "As opposed to the data dredging of statistics or data mining, broader understanding of the data leads to either discovery of insights, or the formulation of hypotheses for testing." 5. So exploration is legitimate when it feeds the hypothesis cycle rather than substituting for it, which is exactly what the definition of data science allows with its "discovery or ... hypothesis formulation and hypothesis testing". 6. Data fusion, data locality and data governance are all real terms in the document, describing the integration of datasets, the co-location of processing with storage, and the policy system around data respectively. _Source: NIST SP 1500-1r2 "NIST Big Data Interoperability Framework: Volume 1, Definitions" (Oct 2019), p.26 section 5.1 "Data Science and Analytics"_