Federal Data Strategy 2020 Action Plan

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Federal Data Strategy2020 Action Plan

Federal Data Strategy Year 1 Actions by Practice 1. Identify Data Needs to Answer KeyAgency QuestionsBuilding aCulture thatValuesData andPromotesPublic Use2. Assess and Balance the Needs of Stakeholders3. Champion Data Use4. Use Data to Guide Decision-Making5. Prepare to Share6. Convey Insights from Data7. Use Data to Increase Accountability8. Monitor and Address Public Perceptions9. Connect Data Functions Across Agencies10. Provide Resources Explicitly to LeverageData Assets11. Prioritize Data Governance12. Govern Data to Protect Confidentialityand Privacy13. Protect Data Integrity14. Convey Data Authenticity15. Assess MaturityGoverning,Managing,andProtectingData16. Inventory Data Assets17. Recognize the Value of Data Assets18. Manage with a Long View19. Maintain Data Documentation20. Leverage Data Standards21. Align Agreements with Data ManagementRequirements22. Identify Opportunities to OvercomeResource Obstacles23. Allow Amendment24. Enhance Data Preservation25. Coordinate Federal Data Assets26. Share Data Between State, Local, andTribal Governments and Federal Agencies27. Increase Capacity for Data Managementand Analysis28. Align Quality with Intended Use29. Design Data for Use and Re-Use30. Communicate Planned and PotentialUses of Data31. Explicitly Communicate Allowable UsePromotingEfficient andAppropriateData Use32. Harness Safe Data Linkage33. Promote Wide Access34. Diversify Data Access Methods35. Review Data Releases for Disclosure Risk36. Leverage Partnerships37. Leverage Buying Power38. Leverage Collaborative Computing Platforms39. Support Federal Stakeholders40. Support Non-Federal Stakeholders*Federal Data Strategy Year 1 Actions1. Identify Data Needs to Answer Priority Agency Questions2. Constitute a Diverse Data Governance Body3. Assess Data and Related Infrastructure Maturity4. Identify Opportunities to Increase Staff Data Skills5. Identify Priority Datasets for Agency Open Data Plans6. Publish and Update Data Inventories7. Launch a Federal Chief Data Officer Council8. Improve Data and Model Resources for AI Research and Development9. Improve Financial Management Data Standards10. Integrate Geospatial Practices into the Federal Data Enterprise11. Develop a Repository of Federal Enterprise Data Resources12. Create an OMB Federal Data Policy Committee13. Develop a Curated Data Skills Catalog14. Develop a Data Ethics Framework15. Develop a Data Protection Toolkit16. Pilot a One-Stop Standard Research Application17. Pilot an Automated Tool for Information CollectionReviews that Supports Data Inventory Creation and Updates18. Pilot Enhanced Data Management Tool for Federal Agencies19. Develop Data Quality Measuring and Reporting Guidance20. Develop a Data Standards Repository1920

Federal Data Strategy2020 Action PlanContentsSpecial Thanks to Our Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Federal Data Strategy Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Principles and Practices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Data, Accountability, and Transparency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10How We Will Get There . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Priority Actions for 2020 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Agency Actions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Community of Practice Actions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Shared Solution Actions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Looking Forward . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Federal Data Strategy 2020 Action Plan

2THE PROMISE OFEVIDENCE-BASED POLICYMAKINGReport of the Commission on Evidence-Based PolicymakingPRESIDENT 'SMANAGEMENTA G E N D AThe 2017 report of the Commission onEvidence-Based Policymaking revealedthe potential of leveraging data asa strategic asset.President’s Management AgendaThe 2018 President’s Management Agendaestablished a cross-agency priority goal focusedon leveraging data as a strategic asset, whichled to the creation of the Federal Data Strategy.

3Special Thanks to Our ContributorsData is critically important to grow the economy,increase the effectiveness of the Federal Government,facilitate civic engagement and oversight, and promotetransparency. In March 2018, as part of the President’sManagement Agenda (PMA), the Administrationestablished a Cross-Agency Priority (CAP) Goal focusedon Leveraging Data as a Strategic Asset to establishbest practices for how agencies manage and use data.As part of this CAP Goal, the first ever enterprise-wideFederal Data Strategy (FDS) was developed to establishstandards, interoperability, and skills consistencyacross agencies. To ensure the FDS was comprehensiveand actionable, an interdisciplinary team of top-levelleaders from multiple Federal agencies led the CAP Goal,including: Kelvin Droegemeier, Director of Office of Scienceand Technology Policy, Executive Office of thePresident Karen Dunn Kelley, Deputy Secretary,U.S. Department of Commerce Suzette Kent, Federal Chief Information Officer,Office of Management and Budget, Executive Officeof the President Nancy Potok, Chief Statistician of the U.S.,Office of Management and Budget,Executive Office of the President Maria Roat, Chief Information Officer,U.S. Small Business Administration.The CAP Goal leads wanted significant input from adiverse set of stakeholders to ensure the FDS held valuefor a wide variety of agencies and data users. To achievethis goal, they convened the FDS development team,which included nearly 50 career staff from around theFederal Government, who developed the components ofthe FDS in an iterative fashion with many opportunitiesfor feedback. The interagency team gathered ideas,examples, comments, and suggestions from Federalemployees, private industry, academia, NGOs, andthe public from June 2018 to August 2019. This inputhelped the team build a robust, integrated approachto managing and using data. The result is a multiyear strategy that will fundamentally transform howdata is managed and used. This strategy will supportimproving public services, fuel learning and innovationin the Federal community, and increase governmentaccountability and transparency. The CAP Goal leadswould like to recognize and thank the FDS developmentteam, whose members spent countless hoursresearching, listening, and synthesizing, as well as theagency and public commenters who contributed theirtime and expertise through 147 sets of forum remarksand 601 written comment submissions. The FDS andfirst annual Action Plan could not have been createdwithout them.Public Engagement on the Federal Data Strategy47Events601Public Comments82SpeakersFederal Data Strategy 2020 Action Plan

4Federal Data Strategy Development Team Ken Ambrose, Senior Policy Analyst, HealthResources and Services Administration,U.S. Department of Health and Human Services Tom Beach, Chief Data Strategist and PortfolioManager, U.S. Patent and Trademark Office,U.S. Department of Commerce Marika Bertram, Data Analysis and Evaluation, U.S.Department of Housing and Urban Development Sharon Boivin, Senior Advisor, Office of the ChiefData Officer, U.S. Department of Education Trey Bradley, Strategic Data Initiatives ProgramManager, Office of Shared Solutions & PerformanceImprovement, U.S. General Services Administration Noah Brod, Economic Development Specialist, SmallBusiness Administration Melvin Brown II, Director, Office of the ChiefInformation Officer, Small Business Administration Chris Campbell, Director of Enterprise DataManagement and Chief Data Architect,U.S. Department of Homeland Security Nikki Churchwell, Management and ProgramAnalyst, Office of Finance and Operations,U.S. Department of Education Leremy Colf, Director of Disaster Science,Office of the Assistant Secretary for Preparednessand Response, Office of Policy and Planning,U.S. Department of Health and Human Services Colleen Collins, Portfolio Manager, Food andNutrition Service, U.S. Department of Agriculture Sheri Craig, Statistician, Office of Strategy andInnovation, U.S. Office of Personnel Management Richelle Davis, Education Program Specialist,U.S. Department of Education David W. Dreisigmeyer, Data Miner, Research andMethodology Directorate, Center for EconomicStudies, U.S. Census Bureau, U.S. Department ofCommerce Kipp Dubow, Records Management Officer,U.S. Department of Veterans Affairs Casey Eggleston, Research MathematicalStatistician, U.S. Census Bureau, U.S. Department ofCommercePresident’s Management Agenda Kimberly Essary, Deputy Director and SeniorCounsel, Office of Enterprise Data and Analytics, U.S.Equal Employment Opportunity Commission Anne Fletcher, Social Science Analyst,U.S. Department of Housing and Urban Development Ruxi Giura, Digital Insurance CommunicationsSpecialist, Federal Emergency ManagementAdministration, Department of Homeland Security Bill Gould, Senior Advisor, Small BusinessAdministration Jessica Graber, Research Survey Statistician,U.S. Census Bureau, U.S. Department of Commerce Matt Greene, Deputy Chief Data Officer forGovernance, Office of the Chief Data Officer,U.S. Department of Education William Hawk, Economist, U.S. Census Bureau, U.S.Department of Commerce Lucas Hitt, Chief of the Communications Division,U.S. Bureau of Economic Analysis, U.S. Departmentof Commerce William “Jay” Huie, White House LeadershipDevelopment Fellow, General ServicesAdministration on detail to Office of Managementand Budget Dan Janes, Program Director, National Institutesof Health, U.S. Department of Health and HumanServices Tiffany Julian, Data Scientist, National Centerfor Science and Engineering Statistics,National Science Foundation Ed Kearns, Chief Data Officer, National Oceanic andAtmospheric Administration, U.S. Department ofCommerce Lee Kelly, Division Director, Office of InformationSecurity and Privacy, U.S. Environmental ProtectionAgency Julia Lane, Senior Research Fellow, U.S. CensusBureau, U.S. Department of Commerce Hilary Leeds, Health Science Policy Analyst, NationalInstitutes of Health, U.S. Department of Health andHuman Services

5 Grace Levin, Management Analyst,U.S. State Department Anne Levine, Acting Chief Data Officer,Federal Communications Commission Lisa Mancino, Senior Agricultural Economist,Food Economic Division, Economic Research Service,U.S. Department of Agriculture Shelly Martinez, Senior Statistician, Office ofManagement and Budget, Executive Office of thePresident Lisa Mavrogianis, Open Data Lead,U.S. Department of Veterans Affairs Lisette Montalvo, Data Governance CouncilSecretariat, U.S. Department of Veterans Affairs Jessica Nicholson, Senior Economist,U.S. Bureau of Economic Analysis,U.S. Department of Commerce Erik Noble, Senior Policy Advisor, Office of Scienceand Technology Policy, Executive Office of thePresident Glenda Noel, Program and Management Analyst,U.S. Environmental Protection Agency Anne Parker, Program Manager, Internal RevenueService, U.S. Department of the Treasury Regina Powers, Economist, Office of the UnderSecretary for Economic Affairs, U.S. Department ofCommerce Bryant Renaud, Performance Analyst, Office ofManagement and Budget, Executive Office of thePresident Natalie Rico, Senior Policy Analyst, Office ofManagement and Budget, Executive Office of thePresident Joseph Semsar, Chief of Staff to the DeputySecretary, U.S. Department of Commerce Stacy Sneeringer, Research Economist, EconomicResearch Service, U.S. Department of Agriculture Rachel Snyderman, Program Examiner, Office ofManagement and Budget, Executive Office of thePresident Genevieve Soule, Program Analyst, Office ofEnforcement and Compliance Assurance,U.S. Environmental Protection Agency Leanne Tang, Lead System Architect and Developer,National Agricultural Statistics Service, U.S.Department of Agriculture Re’Neesha J. Thomas, Consultant, NationalInstitutes of Health, U.S. Department of Health andHuman Services Zachary Trautt, Materials Research Engineer,National Institute of Standards and Technology, U.S.Department of Commerce Kim Valentine, Acting Deputy GeospatialInformation Officer, National Oceanic andAtmospheric Administration, U.S. Department ofCommerce Khoa Vo, White House Leadership Fellow, Office ofManagement and Budget, Executive Office of thePresident Rebecca Williams, Digital Service Expert, Office ofManagement and Budget, Executive Office of thePresident Shondelle Wilson-Frederick, LieutenantCommander, Statistician & National Program Lead,Centers for Medicare and Medicaid Services,U.S. Department of Health and Human Services Jennifer Wiltz, Captain, Senior Medical Officer,Centers for Disease Control and Prevention,U.S. Department of Health and Human Services Grace Yuan, Data Analytics Officer, National ScienceFoundation Lin Zhang, Senior Enterprise Data Architect,U.S. Department of the InteriorFederal Data Strategy 2020 Action Plan

6PRINCIPLES AND PRACTICES

7PrinciplesThe Federal Data Strategy Principles serve as motivational guidelines. They underlie a comprehensivestrategy that encompasses Federal and Federally-sponsored program, statistical, and mission-supportdata. They inform the Practices and Action Plan.Ethical Governance1. Uphold Ethics: Monitor and assess the implications of federal data practices for the public.Design checks and balances to protect and serve the public good.2. Exercise Responsibility: Practice effective data stewardship and governance. Employ sounddata security practices, protect individual privacy, maintain promised confidentiality, and ensureappropriate access and use.3. Promote Transparency: Articulate the purposes and uses of federal data to engender publictrust. Comprehensively document processes and products to inform data providers and users.Conscious Design4. Ensure Relevance: Protect the quality and integrity of the data. Validate that data areappropriate, accurate, objective, accessible, useful, understandable, and timely.5. Harness Existing Data: Identify data needs to inform priority research and policy questions;reuse data if possible and acquire additional data if needed.6. Anticipate Future Uses: Create data thoughtfully, considering fitness for use by others;plan for reuse and build in interoperability from the start.7. Demonstrate Responsiveness: Improve data collection, analysis, and dissemination withongoing input from users and stakeholders. The feedback process is cyclical; establish abaseline, gain support, collaborate, and refine continuously.Learning Culture8. Invest in Learning: Promote a culture of continuous and collaborative learning with and aboutdata through ongoing investment in data infrastructure and human resources.9. Develop Data Leaders: Cultivate data leadership at all levels of the federal workforce byinvesting in training and development about the value of data for mission, service, and thepublic good.10. Practice Accountability: Assign responsibility, audit data practices, document and learn fromresults, and make needed changes.

8PracticesThe Federal Data Strategy’s Practices are designed to informagency actions on a regular basis, to be continually relevant,and to be sufficiently general so as to broadly apply at allfederal agencies and across all missions. The Practicesrepresent aspirational goals that, when fully realized, willcontinually challenge and guide agencies, practitioners, andpolicymakers to improve the government’s approach to datastewardship and the leveraging of data to create value.Building a Culture that Values Data andPromotes Public Use1. Identify Data Needs to Answer Key Agency Questions:Use the learning agenda1 process to identify andprioritize the agency’s key questions and the dataneeded to answer them.2. Assess and Balance the Needs of Stakeholders:Identify and engage stakeholders throughout thedata lifecycle to identify stakeholder needs and toincorporate stakeholder feedback into governmentpriorities to maximize entrepreneurship, innovation,scientific discovery, economic growth, and the publicgood.3. Champion Data Use: Leaders set an example,incorporating data in decision-making and targetingresources to maximize the value of data for decisionmaking, accountability, and the public good.4. Use Data to Guide Decision-Making: Effectively,routinely, transparently, and appropriately use datain policy, planning, and operations to guide decisionmaking; share the data and analyses behind thosedecisions.5. Prepare to Share: Assess and proactively address theprocedural, regulatory, legal, and cultural barriers tosharing data within and across federal agencies, as wellas with external partners.6. Convey Insights from Data: Use a range ofcommunication tools and techniques to effectivelypresent insights from data to a broad set of audiences.7. Use Data to Increase Accountability: Align operationaland regulatory data inputs with performance measuresand other outputs to help the public to understand theresults of federal investments and to support informeddecision-making and rule-making.8. Monitor and Address Public Perceptions: Regularlyassess and address public confidence in the value,accuracy, objectivity, and privacy protection of federaldata to make strategic improvements, advance agencymissions, and improve public messages about plannedand potential uses of federal data.President’s Management Agenda9. Connect Data Functions Across Agencies: Establishcommunities of practice for common agency datafunctions (e.g. data management, access, analytics,informatics, and user support) to promote efficiency,collaboration, and coordination.10. Provide Resources Explicitly to Leverage DataAssets: Ensure that sufficient human and financialresources are available to support data driven agencydecision-making, accountability and the ability to spurcommercialization, innovation, and public use.Governing, Managing, and Protecting Data11. Prioritize Data Governance: Ensure there are sufficientauthorities, roles, organizational structures, policies,and resources in place to transparently support themanagement, maintenance, and use of strategic dataassets.12. Govern Data to Protect Confidentiality andPrivacy: Ensure there are sufficient authorities, roles,organizational structures, policies, and resources inplace to provide appropriate access to confidential dataand to maintain public trust and safeguard privacy.13. Protect Data Integrity: Emphasize state-of-the-art datasecurity as part of Information Technology securitypractices for every system that is refreshed, architected,or replaced to address current and emerging threats;foster innovation and leverage new technologies tomaintain protection.14. Convey Data Authenticity: Disseminate data sets suchthat their authenticity is discoverable and verifiable byusers throughout the information lifecycle, consistentwith open data practices, and encourage a

Federal Data Strategy 2323 Action Plan 5 Grace Levin, Management Analyst, U .S . State Department Anne Levine, Acting Chief Data Officer, Federal Communications Commission Lisa Mancino, Senior Agricultural Econ

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