Data exists everywhere and generated continually by people and things continually. Data applications receive information from a wide array of data sources in industrial operations such as design data, product data (e.g. drawings, manuals, schematics, configuration/SW packages), field data from systems (engine hours, cumulative loads, carried tons, alarms) and field data from people (e.g. exception reports, spare part logistics, maintenance tasks). Data must be intelligently open and managed, meaning that it should be discoverable, accessible, intelligible, assessable and re-usable.