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Summarising data as text helps people make sense of it. It also improves datadiscovery, as search algorithms can match this text against keyword queries. Inthis paper, we explore the characteristics of text summaries of data in orderto understand how meaningful summaries look like. We present two complementarystudies: a data-search diary study with 69 students, which offers insight intothe information needs of people searching for data; and a summarisation study,with a lab and a crowdsourcing component with overall 80 data-literateparticipants, which produced summaries for 25 datasets. In each study wecarried out a qualitative analysis to identify key themes and commonlymentioned dataset attributes, which people consider when searching and makingsense of data. The results helped us design a template to create moremeaningful textual representations of data, alongside guidelines for improvingdata-search experience overall.

Everything you always wanted to know about a dataset: studies in data summarisation