Used to describe the data 'landscape', particularly when referencing multiple data sources and formats in data science fields e.g. epidemiology.
The datascape is fragmented and non-standardised, as evidenced by the existence of multiple software platforms, coding languages, and incomparable data-driven outputs. Standardising variable definitions, data recording and reporting would bring cohesion and harmony to the overall datascape, driving down the resources required to analyse and interpret data derived from heterogeneous sources.
by Roving_Epi April 09, 2025
