GGRC34H3 Chapter Notes - Chapter week 4: Xml, Unstructured Data, Crowdsourcing
Document Summary
Good quality data: discrete and aggregative, have associated metadata (date about data) and can be linked to other datasets. Data has strong utility and high value: provide key inputs to various modes of analysis in order to understand and explain the world. Analysts may accept data at face value, and treat them as if they are neutral, objective, and pre-analytic in nature, data are in fact framed technically, economically, ethically, temporally, spatially and philosophically. Data: derived from the latin dare, meaning to give : can be abstracted from phenomena. Data in general use refer to elements that are taken; extracted through observations, computations, experiments, and record keeping. Technically data are capta (latin, meaning to take : selected and harvested from the sum of all potential data selected from nature by the scientist in accordance with the purpose. Data are never simply just data; how data are conceived and used varies between those who capture, analyze and draw conclusions from them.
