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DM WBS Functional View Develop and maintain Prepare internal data

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Presentation on theme: "DM WBS Functional View Develop and maintain Prepare internal data"— Presentation transcript:

1 DM WBS Functional View Develop and maintain Prepare internal data
Data Management Planning and Definition Identification and Preparation Control Disposition and Distribution Archival and Retention Develop and maintain standard data requirement descriptions Concept, Strategy, Methodology Review life cycle of project or program to determine needs Identify data requirements Ensure completeness and eliminate duplication Provide support to program Management Develop master data list DRDs Metrics development for all areas Determine what to subcontract Prepare internal data as identified in P&D Ensure that data requirements are negotiated and ordered Ensure that externally developed data meet requirements for internal use Data content and format description Metadata schema & development Data Retrieval Preparation of acquisition documents and the resulting requirements flow-down Import/Export Intellectual Property CM process application Forms/Formats for data use requests Data Marking Master list maintenance Current and historical metadata re status (approved/disapproved) Document control Processes Metrics tracking and reporting Establish and document records, custodians, and project unique records mgmt Requirements Planning for use of a document repository (physical or online) Publish and make documents available Reproduction Distribution Create physical or digital files with appropriate Archival information Create project files for decision tracking histories Submit archival pkgs to higher and more general archiving facilities (internal or external) that specialize in data retention Collection, storage, and retrieval

2 DM WBS Functional Areas
Data Management Planning and Definition Identification and Preparation Control Disposition and Distribution Archival and Retention Data Items DM Governance Receipt Metrics Development Working Files Concept, Strategy, Methodology Data Templates Release Change Management End of Life/ Archive Data Types Data Access Security Retirement (NARA) Data Lifecycle Management DM Tool Requirements Audit and Verification Training and Communication Life Cycle Management Product Definition DM Process Development


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