One approach to data sharing that involves the real-time combining of data residing in multiple different source systems and providing users at a receiving stakeholder with a unified view of these disparate data sources.
Under this approach the source data may never be moved from the source system to the receiving system but accessed as-needed and on-demand as long as the participating systems maintain a live connection. Data integration assumes that the participating stakeholders all have appropriate sharing rights for accessing the data being integrated and viewed. Data integration stakeholders can improve the quality and usefulness of the integrated data by adopting standard integration technologies like the semantic web. Data integration stakeholders in a common sector (e.g. insurance, policing, or research) can enhance the usefulness of integration technology standards by also adopting a sector-specific standards setting consortia and maintaining a standard set of meanings for integrated data elements.