Specifications include, but are not limited to: Establish data ownership and accountabilityhierarchyThe data governance frameworkshould define data owners and stewardship responsibilities for implementation and continued maintenance of the data governance program. There should be a clearly established organizational chain of command and control with identified data stewards, decision makers, tiebreakers, etc.This accountability hierarchy should include the management of data at all stages of operations –acquisition, storage, and release. The responsibilities foreach stage and the ownership of those responsibilities must be defined, documented and implemented into practice, along with operating rules to guide all decision-makingprocesses.Establish rules and procedures for data requestsThe data governance framework should define the process and responsibilities fordetermining the appropriate response to requests for access to MQD data, either in reports, extracted data, or direct access to the stored data.The determination process mustbe based on documented metrics and not subject to or dependent on arbitrary or subjective decisions. The process and procedures for requesting access to MQD data must also be clearly defined, documented,distributed,and made available tosupport internaland external audiences insubmitting comprehensive data requeststo MQD.Improve departmental reporting / decision-making processesThe data governance frameworkshould make it easier to understand and identify the right data for reports, thereby reducing the time necessary to produce and validate the requested information. By using the right datain the right way, decisions based on thisaccumulatedinformation can bemade faster and with more accuracyand insightfulness.