Data Strategy Fiscal Years 2026-2030 Guide the Defense Health Agency's use of data as a trusted, mission-enabling strategic asset supporting combat support, healthcare delivery, and enterprise efficiency. Submitter's Note: This StratML rendition was compiled from the source by ChatGPT and lightly edited in the form at https://stratml.us/forms/Claude/Part1.html Defense Health Agency DHA b4fa603d-7cdd-477a-a726-49ecc66217c1 Administer the data strategy for the Military Health System in alignment with Department of Defense and Military Health System digital transformation priorities. Military Health System Benefit from improved readiness, healthcare delivery, interoperability, analytics, and enterprise performance enabled by trustworthy data. Department of Defense Provide department-wide data strategy, policy, and governance context for DHA implementation. Defense Health Networks Directors Help implement governance, stewardship, and data product practices across operational domains. Military Medical and Dental Treatment Facilities Use, manage, and improve mission-ready data supporting care delivery and operational performance. Enable a Military Health System in which trusted data strengthens combat support, enhances healthcare delivery, and improves operational efficiency. a16070d3-ee63-433f-9b94-de18f43aa5e4 To transform DHA data into a trusted, mission-enabling strategic asset through aligned governance, modern practices, and a digitally competent workforce. 2d05d144-55df-47df-b495-865c41d534b2 Mission Readiness Prioritize data initiatives that directly support combat support, healthcare delivery, and operational efficiency. Federated Governance Apply centralized standards and policies while empowering domain teams to execute data responsibilities. Data Stewardship Hold every team member accountable for the value, quality, protection, and responsible use of enterprise data. Data Products Treat data products as managed enterprise assets with clear ownership, governance, versioning, and value measurement. Trusted Sources Anchor trust in authoritative data sources, verifiable lineage, auditability, and transparency. Metadata Govern, validate, and publish metadata so data remains discoverable, understandable, and contextually relevant. Security and Privacy Embed security controls, access management, data marking, classification, and privacy protection into all data products from the start. Roles Strengthen data roles and responsibilities across the enterprise so personnel understand and fulfill their responsibilities for trustworthy, mission-ready data. 418467f4-da4c-4fdf-b943-730415380df2 1 Line of Effort 1: Strengthen Data Roles and Responsibilities. Governance Define, document, publish, and operationalize a federated governance model with clear roles, responsibilities, escalation paths, and operating procedures. 1affe147-a43f-4f8a-9e38-f328aa679bb2 1.1 Action 1: Operationalize a Federated Governance Model. Assignments Identify, designate, and track Data Domain Owners and Data Domain Stewards for critical data domains. 9529f5d9-20c7-4d0f-88b8-b3c8456a69c5 1.2 Action 2: Identify and Assign Key Roles. Awareness Deploy a targeted stewardship campaign to reinforce enterprise-wide accountability for data stewardship. fc625a2b-8b43-4ab0-a259-53f0b12b168c 1.3 Action 3: Launch a Targeted Stewardship Campaign. Training Expand role-based governance and data literacy training covering ethics, quality standards, and security requirements. bd88ec61-d727-4d9f-86fc-0fc415c9e3e9 1.4 Action 4: Expand Data Governance Role-Based Training. Sources Maximize the use of authoritative data sources so data products originate from verified sources of truth whenever feasible. e10e07f3-dbe8-40be-8a47-0bf1afd50ae0 2 Line of Effort 2: Maximize Use of ADS. Criteria Establish authoritative data source vetting and designation criteria based on ownership, quality, metadata, and mission relevance. a0e31be3-6f1d-4f3a-bde0-30b08b9d823a 2.1 Action 1: Establish ADS Vetting and Designation Criteria. Registry Implement an enterprise registry of authoritative data sources integrated with the DHA Enterprise Data Catalog. cde7445d-21ad-454f-99b3-5678f15a1a48 2.2 Action 2: Implement an Enterprise ADS Registry. Priorities Prioritize designation of authoritative data sources that directly support combat support and healthcare delivery missions. 02f82e26-88bc-4035-b5dc-bbb4a3bacae1 2.3 Action 3: Prioritize High-Impact ADS. Consolidation Execute a phased data consolidation strategy that reduces redundancy and retires systems as authoritative sources are designated. 78fe1618-81ef-4f72-a199-fabdcee80687 2.4 Action 4: Execute a Data Consolidation Strategy. Products Operationalize data as a product so reusable, mission-focused data products support readiness, care delivery, and enterprise operations. aceb718b-9fec-49fa-8348-1172c80f3075 3 Line of Effort 3: Operationalize DaaP. Lifecycle Define and implement the end-to-end data product lifecycle from discovery through retirement with governance and technical requirements for each phase. 03a5a072-1003-4ac5-9213-f59cd904df4e 3.1 Action 1: Standardize the DaaP Lifecycle. Specifications Establish a data product framework specifying lineage, security, metadata, quality, interoperability, and service level expectations. 247c143f-f884-40b1-a469-943333fa0908 3.2 Action 2: Establish a Data Product Specification. Portfolio Identify, scope, and prioritize an initial portfolio of foundational data products essential to strategic mission performance. bc956b07-29e5-43ea-8d6e-11d279bdac17 3.3 Action 3: Prioritize the Initial Product Portfolio. Value Establish governance mechanisms to measure adoption, health, and value of data products. 88f3b648-1d20-4fba-adf7-20fed9a771a8 3.4 Action 4: Govern Product Value and Health. Requests Implement a single streamlined data request process aligned with governance policies and efficient delivery practices. 070f21c7-b76e-42d1-9a6b-72a92ec0cfa8 3.5 Action 5: Enhance Data Request Processes. Trust Build trust through measurable, transparent, and increasingly automated data quality management and lineage tracking. 09e61c5f-8451-4ee7-a801-4498c0298ce5 4 Line of Effort 4: Build Trust Through Data Quality and Transparency. Scorecards Deploy an enterprise data quality scorecard measuring accuracy, completeness, timeliness, and consistency. 777044da-9f7a-47af-9a30-3bc7a124cfdd 4.1 Action 1: Deploy an Enterprise Data Quality Scorecard. Lineage Automate end-to-end lineage tracking linking data products to authoritative data sources and core metadata. a4cb03dd-00ab-40e4-aa2f-e2cff9d41f56 4.2 Action 2: Automate End-to-End Data Lineage. Transparency Publish quality scorecards and lineage information in the enterprise data catalog so consumers can discover trust signals. edef703c-ec36-46b9-9005-801fde7e1dad 4.3 Action 3: Publish Quality and Lineage Transparency. Remediation Institutionalize a formal remediation process with clear ownership for investigating and correcting critical data quality defects. 4d5f1bb3-2db7-470a-927c-12d1cd9df2ca 4.4 Action 4: Institutionalize Data Quality Remediation. Catalog Maintain the enterprise data catalog as the authoritative metadata repository for data assets, governance artifacts, and data products. f3eb0af3-f01f-4c73-a3de-d149dd7109fc 5 Line of Effort 5: Maintain an EDC. Currency Keep the enterprise data catalog updated by integrating it with key data systems so metadata refreshes continuously. e231c01a-fda6-46c4-95c0-2b038c4bbe17 5.1 Action 1: Keep the EDC Updated. Metadata Governance Apply metadata-first governance by requiring data dictionaries, business rules, transformation logic, and usage guidance for all data products. 195fba6f-cc15-4e26-a221-a151abebf2b2 5.2 Action 2: Apply Metadata-First Governance. Indicators Improve transparency by displaying metadata quality indicators that help users assess asset reliability. bfdd659f-d92a-4455-a8e1-b784e71a66e4 5.3 Action 3: Improve Transparency Through Metadata Quality. Context Support mission use by connecting metadata to operational and analytical systems so lineage, definitions, and context are accessible where data is used. 082fca02-98d3-41a9-81b5-81cfca57cf33 5.4 Action 4: Support Mission Use Through Contextual Metadata. Learning Support workforce learning by using the enterprise data catalog and approved resources as reference tools with accessible definitions, lineage views, and examples. 1e9a5ff8-26e2-45e5-8091-afb2837e03e6 5.5 Action 5: Support Workforce Learning. 2025-10-01 2030-09-30 2026-03-15 https://dha.mil/Reference-Library/d/e/f/Defense-Health-Agency-Data-Strategy Owen Ambur Owen.Ambur@verizon.net