2020 Action PlanThe Federal Data Strategy provides a common set of data principles and best practices in implementing data innovations that drive more value for the public. Annual action plans will identify and prioritize practice-related steps for a given year, along with targeted timeframes and responsible entities. The 2020 Action Plan establishes a solid foundation that will support implementation of the strategy over the next decade. Specifically, the plan identifies initial actions for agencies that are essential for establishing processes, building capacity, and aligning existing efforts to better leverage data as a strategic asset.In addition, the 2020 Action Plan includes a series of pilot projects already underway at individual agencies and a set of government-wide efforts designed to support all agencies through the development of tools and resources. Annual Action Plans are developed iteratively with stakeholder feedback and input incorporated along the way. 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A downloadable PDF will be available soon.Office of Management and BudgetOMB_fc2d8890-ba77-4c51-bbad-1cc10871c14e[To be named][To be named]Office of Science and Technology PolicyOSTP_ef596b11-ebfb-11e3-8734-1bc73c6c5db6[To be named][To be named]Department of CommerceDOC_385d89c3-4f0e-4135-b59d-767da1df9bb3[To be named][To be named]Small Business AdministrationSBA_4c576d9e-8228-11e0-a7e3-d3267a64ea2a[To be named][To be named]Data is leveraged as a strategic asset._b19daaf4-2dd4-11ea-a6d4-d5cd0183ea00To identify and prioritize practice-related steps for a given year, along with targeted time-frames and responsible entities._b19daca2-2dd4-11ea-a6d4-d5cd0183ea00Agency ActionsIdentify foundational steps to support agencies in establishing plans, processes, and priorities for better managing data assets._b19dae0a-2dd4-11ea-a6d4-d5cd0183ea001[To be named][To be named]Six Agency Actions are identified as foundational steps to support agencies in establishing plans, processes, and priorities for better managing data assets while considering how the agency’s data assets could be leveraged to advance the agency’s mission. Because agencies have different levels of maturity in their current management and use of data, agencies are expected to have different starting points for executing the six Agency Actions. Each agency should first establish a baseline for each action by assessing the agency’s current status, and then develop and implement a plan to fully achieve each action over the course of the next year. The strategy is supported by tools and resources to aid in the execution of the Agency Actions. Resources will be posted to the repository, Federal Enterprise Data Resources, at resources.data.gov throughout the course of the year. Many of the Agency Actions build on and complement efforts that are already underway in response to other requirements or laws. The graphic below maps each of the six Agency Actions to a set of relevant laws and guidance documents. While future Action Plans will make similar connections between Agency Actions and relevant laws and requirements, all Agency Actions are designed to support agencies in leveraging their data assets.QuestionsIdentify Data Needs to Answer Priority Agency Questions_b19daf72-2dd4-11ea-a6d4-d5cd0183ea00Action 1CFO Act AgenciesResponsible PartyRequiredFederal AgenciesResponsible PartyEncouragedBy September 2020, all agencies will take initial steps to identify the data needed to answer priority questions of interest to the agency. For the past several years through the budget formulation process2,OMB has encouraged agencies to develop multi-year learning agendas. A multi-year learning agenda enables agencies to systematically identify the most critical short- and long-term questions relevant to the programs, policies, and regulations of an agency. The Evidence Act now requires the development of learning agendas3, directing CFO Act agencies to generate a multi-year learning agenda in conjunction with their strategic plans. Agencies develop learning agendas in consultation with both internal and external stakeholders, using the process to generate and organize priority agency questions that can be pursued through activities that include statistics, program evaluation, research, performance management, and policy analysis. Adopting this approach of identifying priority agency questions at the outset helps to establish a process through which an agency can allocate its statistical, performance management, research and evaluation efforts, and funding to the most critical questions that face the agency. This approach represents a paradigm shift in how agencies leverage data assets. Rather than constraining research based on data, the learning agenda process ensures that a research agenda starts with the priority agency questions. Once the priority agency questions have been identified, then the agency must contemplate what data are needed to answer the priority agency questions. This critical next step is also explicitly required under the Evidence Act, which states that learning agendas must include “a list of data the agency intends to collect, use, or acquire to facilitate the use of evidence in policymaking.” Exhibit 6 maps the process by which an agency might approach identifying data needs to answer priority agency questions... The data required to answer a priority agency question might already exist — either in that agency, at another agency, or within a non-Federal entity (e.g., private firm or state/local government). The development and expansion of high-quality data inventories and data catalogs across agencies, as required by the Evidence Act and supported by Actions 6 and 17, will increase agencies’ capacity to determine whether the data required to answer priority agency questions is already collected and maintained within the Federal Government. Under circumstances where the data needed already exist, the next step would be to either directly access the data holdings, or to develop an acquisition strategy to access the needed data. Alternatively, the data required might not exist or might not be accessible because of legal or other barriers, and a new collection effort may be justified. Many agencies already have processes and procedures by which they assess the availability of data to answer priority agency questions, even if the agency does not yet have a formalized learning agenda in place.1.1Consultation_664107a4-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Consult with key agency leaders, such as Chief Data Officers, Evaluation Officers and Statistical Officials to identify data needed to answer priority agency questions.StatusCompletion2019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 10 months. Reporting Mechanism: FY 2022 Annual Performance Plan and Budget Submission. Required for CFO Act Agencies only. Encouraged for all agencies. (see OMB M-19-23)1.2Data Needs_66410a88-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Identify data needs for answering priority questions in the interim learning agenda.StatusIdentification2019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 10 months. Reporting Mechanism: FY 2022 Annual Performance Plan and Budget Submission. Required for CFO Act Agencies only. Encouraged for all agencies. (see OMB M-19-23)1.3Engagement Plan_66410c4a-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Develop a plan to engage the stakeholders needed to access or acquire the data needed to answer priority questions.StatusDevelopment2019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 10 months. Reporting Mechanism: FY 2022 Annual Performance Plan and Budget Submission. Required for CFO Act Agencies only. Encouraged for all agencies. (see OMB M-19-23)GovernanceInstitutionalize Agency Data Governance_b19db0bc-2dd4-11ea-a6d4-d5cd0183ea00Action 2Federal AgenciesResponsible PartyAll agencies were required by M-19-23 to establish an inclusive and empowered Data Governance Body (DGB) by September 30, 2019, to be chaired by the Chief Data Officer, with participation from relevant senior-level staff in agency business units, data functions, and financial management. By January 2020, all agencies will publish documentation related to the DGB (e.g., membership, charter, meeting cadence, and minutes) on their agency data web page (at https://[agency].gov/data) and by November 2020, all agencies will have begun enterprise-wide data governance activities such as capital planning for enterprise data assets and infrastructure, emerging priority data governance areas such as preparing data for use in artificial intelligence, and an agency data strategy or road map, or master data management program. The DGB should use data maturity models to assess agency capabilities (see Action 3: Assess Data and Related Infrastructure Maturity), and should also seek broad agency input before recommending data investment priorities. The DGB membership should be updated as needed. Agencies may refer to A Playbook in Support of the Federal Data Strategy: Getting Started on Prioritizing Data Governance and Assessing Maturity for guidance and support in accomplishing this action as well as Action 3.2.1Governance Materials_66410f74-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Publish agency data governance materials (membership, charter, meeting cadence) on [agency].gov/data web page.StatusPublication2019-12-232020-01-31[To be determined]2019-12-232020-01-31Target Date: 1 months. Reporting Mechanism: Post to agency/data web page. Required for all agencies2.2FTEsNumber_66411122-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6After you complete your assessment of current staff data skills and literacy (see Action 3), dedicate staff to support DGB. 12019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 9 months. Reporting Mechanism: strategy.data.gov. Encouraged for all agencies.2.3Authority_664112e4-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Document how the DGB receives its authority.StatusDocumentation2019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 9 months. Reporting Mechanism: strategy.data.gov. Encouraged for all agencies.2.4Data Strategy_66411550-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Put in place a data strategy or road map.StatusCompletion2019-12-23[To be determined]2019-12-23Target Date: 1 activity per quarter, any order encouraged of all agencies. Reporting Mechanism: strategy.data.gov & in agency Information Resource Management Strategic Plan. Encouraged for all agencies.2.5Capital Plan_6641171c-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Develop a plan for capital planning for enterprise data assets and infrastructure.StatusDevelopment2019-12-23[To be determined]2019-12-23Target Date: 1 activity per quarter, any order encouraged of all agencies. Reporting Mechanism: strategy.data.gov & in agency Information Resource Management Strategic Plan. Encouraged for all agencies.2.6Data Management Program_664118e8-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Adopt a master data management program.StatusAdoption2019-12-23[To be determined]2019-12-23Target Date: 1 activity per quarter, any order encouraged of all agencies. Reporting Mechanism: strategy.data.gov & in agency Information Resource Management Strategic Plan. Encouraged for all agencies.MaturityAssess Data and Related Infrastructure Maturity_b19db1fc-2dd4-11ea-a6d4-d5cd0183ea00Action 3Federal AgenciesResponsible PartyBy May 2020, all agencies will should conduct an initial maturity assessment focusing on data and related data infrastructure (e.g., organizational structures and knowledge bases, policies) to set a baseline for future improvements. Maturity assessments allow an organization to evaluate itself against documented best practices, determine gaps, and identify priority areas for improvement. A maturity assessment analyzes all aspects of agency policies, procedures, and operations related to data and data infrastructure, including data governance, data management, data culture, data systems and tools, data analytics, staff skills and capacity, resource capacity, and compliance with law and policy. The results of a maturity assessment feed into the data governance and management processes to inform investment decisions and to prioritize subsequent actions. A maturity assessment should be proactively communicated and explained to employees and repeated periodically, as determined by the agency, to measure progress and prioritize next steps. The maturity model used to conduct the maturity assessment should be chosen by the DGB established under Action 2. This assessment will identify readiness to meet other requirements of the strategy and related legal requirements and can be used to make investment decisions and to prioritize subsequent actions. Agencies may refer to A Playbook in Support of the Federal Data Strategy: Getting Started on Prioritizing Data Governance and Assessing Maturity for guidance and support in accomplishing this action as well as Action 2.3.1Assessment Model_66411ab4-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Select an operational maturity assessment model for data and data infrastructure.StatusSelection2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Reporting Mechanism: strategy.data.gov. Required for all agencies.3.2TraineesNumber_66411c8a-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Agency Chief Data Officer and other senior-level staff participate in any training or technical assistance related to maturity assessments.12019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 9 months. Reporting Mechanism: strategy.data.gov. Encouraged for all agencies3.3Maturity Assessment_66411f50-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Document the outcome of the initial data maturity assessment.StatusDocumentation2019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 9 months. Reporting Mechanism: strategy.data.gov. Encouraged for all agenciesSkillsIdentify Opportunities to Increase Staff Data Skills_b19db404-2dd4-11ea-a6d4-d5cd0183ea00Action 4CFO Act AgenciesResponsible PartyRequiredFederal AgenciesResponsible PartyEncouragedBy July 2020, all CFO Act agencies, pursuant to M-19-23 and the Evidence Act, will have documented information on their plans to carry out a capacity assessment to assess the coverage, quality, methods, effectiveness, and independence of the statistics, evaluation, research, and analysis efforts of the agency. These assessments may be further leveraged by agencies to identify critical data skills, assess their staffs’ capacities for those skills, identify any gaps, and take actions to ensure that their Federal workforces are well-prepared to support evidence-building activities. The staff data skills assessment should align with, and be a part of, ongoing human capital management efforts designed to ensure agencies have skills and competencies needed to effectively accomplish agency mission. This alignment is important since achieving parity between an agency’s data skill needs and its workforce capacity requires repeating this process over time. The assessment has four major components: 1. Identify critical data skills needed for the agency 2. Assess the current staff capacity for those data skills 3. Perform a data skills gap analysis to prioritize the agency’s needs 4. Identify and execute approaches to fill those needs The identification of critical data skills will naturally be informed by the determination of agency priority questions, including those gathered during the development of the learning agenda (see Action 1) and will be addressed in the agency maturity assessment (Action 3). Thoughtful consideration should also be given to identifying a minimum level of data literacy among all staff, including for those performing roles not traditionally considered data related. The agency should assess the data skills possessed by the current workforce and seek to understand data literacy rates among its staff. The gap analysis should determine how much more of each critical skill is required among staff and facilitate a prioritization of needed skills relative to available resources. Options for increasing staff skills capacity may include new analysis or other software tools, easy-to-use dashboards, additional training and educational opportunities, on-the-job rotational learning experiences, participation in data-related communities of practice, and introducing hiring and retention strategies to address gaps. Note: This action can also serve as one input to the capacity assessment required by CFO Act agencies under the Evidence Act, in coordination with Evaluation Officers.4.1Literacy & Skills Assessment_6641213a-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Perform an assessment of current staff data literacy and data skills.StatusCompletion2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Reporting Mechanism: strategy.data.gov. Required for CFO Act Agencies only. Encouraged for all agencies.4.2People TrainedNumber_6641232e-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Conduct a gap analysis between the current staff’s skills and the skills the agency requires. Number of people attended training.12019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 9 months. Reporting Mechanism: strategy.data.gov. Required for CFO Act Agencies only. Encouraged for all agencies.4.3Performance Plan_66412522-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Based on the assessment, establish a baseline and develop a performance plan to close the identified data skills and literacy gaps.StatusCompletion2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Reporting Mechanism: strategy.data.gov. Required for CFO Act Agencies only . Encouraged for all agencies.AssetsIdentify Priority Data Assets for Agency Open Data Plans_b19db65c-2dd4-11ea-a6d4-d5cd0183ea00Action 5Federal AgenciesResponsible PartyBy January 2020, all agencies will identify their initial list of priority data assets for agency open data plans.6 This list will describe data assets that the agency considers especially valuable to the public interest and therefore intends to make available as open government data. Agency open data plans will include (1) processes and procedures that require data collection mechanisms created on or after January 13, 2019, facilitate open formats, and facilitate collaboration with non-Government entities (including businesses), researchers, and the public for the purpose of understanding how data users value and use government data; (2) identify methods to collect and analyze digital information on data asset usage by users within and outside of the agency, including designating a point of contact within the agency to assist the public and to respond to quality issues, usability issues, recommendations for improvements, and complaints about adherence to open data requirements within a reasonable period of time; (3) develop a process to evaluate and improve the timeliness, completeness, consistency, accuracy, usefulness, and availability of open Government data assets; and (4) includes requirements for meeting the goals of the agency open data plan, including the acquisition. A playbook and use cases that describe prioritization methodologies and examples of open data access to support this action are available at resources.data.gov.5.1Open Data Plan_66412716-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Publish an Open Data Plan for sharing priority agency data assets, developed with stakeholder engagement, including data assets that support AI R&D (see Action 6)StatusPublication2019-12-23[To be determined]2019-12-23Target Date: After OMB Open Data Plan Guidance is issued; Annually on Agency IRM Strategic Plan schedule. Reporting Mechanism: Agency Information Resource Management Strategic Plan. Required for all agencies.5.2Process_66412914-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Execute a process to evaluate and improve the timeliness, completeness, consistency, accuracy, usefulness, and availability of open Government data assets. Measurement: Qualitative and quantitative improvements. StatusImprovement2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Reporting Mechanism: strategy.data.gov & agency public data.json APIs. Required for all agencies.InventoriesPublish and Update Data Inventories_b19db7c4-2dd4-11ea-a6d4-d5cd0183ea00Action 6Federal AgenciesResponsible PartyBy July 2020, all agencies will update existing comprehensive data inventories in accordance with updated standard metadata that facilitates ingestion by data.gov and search engine optimization. At least every 90 days, all agencies will identify missing or incomplete listings in their comprehensive data inventories and ensure metadata is comprehensive for priority data assets, such as data assets included in agency Open Data Plans, identified in Community of Practice Actions 8, 9, and 10, or as identified by the Chief Data Officer Council (CDO Council).6.1Data Inventories_66412f36-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Update comprehensive data inventories for overall completeness and priority data asset sprints. Metadata quality improvements.StatusCompleteness2019-12-232020-03-31[To be determined]2019-12-232020-03-31Target Date: Minimally every 3 months, as often as possible. Reporting Mechanism: Agency public data.json APIs. Required for all agencies.6.2Metadata Standardization_664134cc-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Update comprehensive data inventory to conform to standard metadata.StatusCompletion2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Reporting Mechanism: Agency public data.json APIs. Required for all agenciesCommunities of PracticeTake actions related to common topics_b19db936-2dd4-11ea-a6d4-d5cd0183ea002Communities of Practice[To be named]Community of Practice Actions are taken by a specific agency or group of agencies related to a common topic, usually through an established interagency council or other existing coordinating mechanism. Community of Practice Actions seek to integrate and coordinate ongoing efforts related to existing laws, regulations, and executive orders that are particularly relevant to the strategy. For this initial Action Plan, the four Community of Practice Actions included were identified as key opportunities for agencies to build upon ongoing efforts to improve and better coordinate data-related initiatives across agencies. In particular, the Community of Practice Actions included in the 2020 Action Plan capitalize on current work related to the Executive Order on Maintaining American Leadership in Artificial Intelligence, the Geospatial Data Act of 2018, the Evidence Act, and efforts related to the management and use of several financial management data assets across government. These four actions, undertaken with cross-agency collaboration, will speed and streamline the execution of existing requirements, as depicted in Exhibit 7 below.Data Officer CouncilLaunch a Federal Chief Data Officer Council_b19dbb3e-2dd4-11ea-a6d4-d5cd0183ea00Action 7Federal Chief Data Officer CouncilResponsible PartyOMBResponsible PartyCDOsResponsible PartyBy January 2020, OMB will launch, and agency CDOs will participate in, a CDO Council, as required by the Evidence Act and detailed in OMB M-19-23. The CDO Council will meet regularly, establish its priorities, and begin to develop resources as required by the Evidence Act to support CDOs in fulfilling their responsibilities under the Evidence Act. Resources may be developed in concert with the FDS team and other councils and will represent government-wide best practices for the generation, use, protection, and dissemination of data; promote and encourage data sharing agreements between agencies; and identify ways in which agencies can improve upon the production of evidence for use in policymaking. The CDO Council’s resources will reflect consultation with the public and engagement with private users of government data and other stakeholders on how to improve access to Federal data assets. In addition, the CDO Council will identify and evaluate new technology solutions for improving the collection and use of data. The CDO Council will share responsibility with other government-wide councils that conduct statutory, data-related activities, such as the Interagency Council on Statistical Policy (ICSP) and the Evaluation Officer Council. OMB expects that the activities of these multiple councils will be coordinated through the OMB Federal Data Policy Committee, to be established under Action 12.7.1MeetingsNumber_664137c4-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Launch CDO Council. Number of meetings held.12019-12-232020-01-31[To be determined]2019-12-232020-01-31Target Date: 1 month. Responsible Party: OMB7.2ResourcesNumber_ea2890c6-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Create resources. Number of resources published.12019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: CDOs7.3Resources_ea2893f0-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Encourage use of resources by agencies. Track adoption of resources by agencies.StatusUsage2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: CDOsAIImprove Data and Model Resources for AI Research and Development_b19dbd82-2dd4-11ea-a6d4-d5cd0183ea00Action 8OMBResponsible PartyNational Science and Technology Council Machine Learning and AI SubcommitteeResponsible PartyCDO CouncilResponsible PartyCDOsResponsible PartyImplementation of the Executive Order on Maintaining American Leadership in Artificial Intelligence (AI),7 is designed to improve the data and computing resources for AI research and development by February 2020. The Executive Order, issued February 2019, includes an objective to “Enhance access to high-quality and fully traceable federal data, models, and computing resources to increase the value of such resources for AI R&D, while maintaining safety, security, privacy, and confidentiality protections consistent with applicable laws and policies.” The Federal Government intends to achieve this objective by: * Investigating barriers to access or quality limitations of Federal data and models that impede AI R&D and testing. A Request for Information (RFI) was issued as a Federal Register Notice by OMB8 inviting the public to identify needs for additional access to, or improvements in the quality of, Federal data and models that would improve the nation’s AI R&D and testing efforts. * Addressing identified barriers by updating Federal data and source code inventory guidance for agencies to utilize in enhancing the discovery and usability of Federal data and models in AI R&D. The implementation guidance provides supports agencies in: - Prioritizing the data assets and models under their purview for discovery, access, and enhancement; - Assessing the level of effort needed to make necessary improvements in data sets and models, against available resources; and - Developing justifications for additional resources. ^ * Incorporating updated inventory technical schema formats into Action 11 (Develop a Repository of Federal Enterprise Data Resources) and Action 15 (Identify Priority Data Assets for Agency Open Data Plans) of the 2020 Action Plan. * Selecting pilot(s) to demonstrate how to enhance access to discoverable and useable Federal data and models, including mature, high-quality Federal training data assets.8.1RFI_66413a26-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Identify barriers to access and quality limitations. Completion of RFI.StatusCompletion2019-12-232020-02-29[To be determined]2019-12-232020-02-29Target Date: 2 months. Responsible Party: OMB. In consultation with the National Science and Technology Council Machine Learning and AI Subcommittee and the CDO Council.8.2Schema_ea28960c-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Provide technical schema formats on inventories.StatusCompletion2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: OMB. In consultation with the National Science and Technology Council Machine Learning and AI Subcommittee and the CDO Council.8.3Pilot_ea28981e-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Pilot demonstration of how access to data useful for AI should be enhanced.StatusCompletion2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: CDOsFinancial ManagementImprove Financial Management Data Standards_b19dbf6c-2dd4-11ea-a6d4-d5cd0183ea00Action 9Getting Payments Right Executive Steering CommitteeResponsible PartyThe PMA includes a series of CAP Goals that address “functional priority areas for transformation” across government, several of which address improved financial management practices. Three specific CAP Goals have been selected for inclusion in the 2020 Action Plan due to their focus on financial management data assets. By August 2020, the Federal Government, through implementation of the identified CAP Goals below, will have improved the management and use of several financial management data assets. * Getting Payments Right: CAP Goal 9 directs agencies to save taxpayer money by making payments correctly and collecting money back from incorrect payments. Agencies will accomplish this by employing strategic use of financial data and other mitigation strategies at the point in the payment process where the improper payment is occurring, and clarifying and streamlining reporting and compliance requirements to focus on actions that make a difference. * Results Oriented Accountability for Grants: Agencies will maximize the value of grant funding by applying a risk-based, data-driven framework that balances compliance requirements with demonstrating successful results for the American taxpayer. * Promote public trust in the stewardship of taxpayer dollars: The Federal Government will engage stakeholders and decision-makers to develop a draft Federal Financial Data Strategy to open, connect, and demonstrate value while promoting public trust in financial management transparency and accountability in a way that meets user needs while minimizing reporting burden and orienting the business of government around data.9.1Payments_66413ea4-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Getting Payments Right. Metrics related to this CAP Goal are being tracked on performance.govStatusAccuracy2019-12-23[To be determined]2019-12-23Target Date: See timeline on performance.gov. Responsible Party: Getting Payments Right Executive Steering Committee9.2Grant Results_ea289a44-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Results Oriented Accountability for Grants. Metrics related to this CAP Goal are being tracked on performance.gov StatusAccountability2019-12-23[To be determined]2019-12-23Target Date: See timeline on performance.gov Responsible Party: CAP Goal 8 Executive Steering Committee9.3Strategy_ea289c6a-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Promote public trust in the stewardship of taxpayer dollars. Publication of strategy.StatusPublication2019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: September 2020 Responsible Party: Financial Data Transformation Executive Steering CommitteeGeospatial DataIntegrate Geospatial Data Practices into the Federal Data Enterprise_b19dc80e-2dd4-11ea-a6d4-d5cd0183ea00Action 10SAOGI at OMBResponsible PartyFGDCResponsible PartyFGDC NGDA Lead Covered AgenciesResponsible PartyGSAResponsible PartyBy December 2020, the Federal Geographic Data Committee (FGDC), in coordination with the OMB Federal Data Policy Committee (FDPC), will improve the value of, and access to, geospatial data and services for use across the Federal data enterprise and the public through the implementation of the Geospatial Data Act (GDA). Through this action, FGDC members will coordinate with their agency DGB, their Senior Agency Official for Geospatial Information (SAOGI), and the FDPC on the use and integration of geospatial data into broader Federal efforts. The Federal Government, through the FGDC with input from and in partnership with representatives from state, local, and tribal governments, the private sector, and institutions of higher education, will develop the National Spatial Data Infrastructure (NSDI) strategic plan to ensure geospatial data from multiple Federal and non-Federal sources are available and easily integrated to enhance decision-making. The SAOGI at OMB will assist the FGDC in ensuring FGDC cross-representation on appropriate data oversight bodies to help spatially enable the Federal data enterprise. FGDC members will work with the other oversight bodies to establish a process to develop consistent identification of the spatial attributes of both spatial datasets (data with feature geometry) and non-spatial datasets with location attributes (e.g., address, coordinates, county name). This engagement will lay the foundation that enables the relating or joining of data with like spatial attributes to add contextual value and provide a catalyst for innovative data use and spatial analytics. The FGDC will operate an electronic service known as the GeoPlatform and provide access to geospatial data and related metadata for all National Geospatial Data Assets (NGDA), excluding public disclosure of any information that reasonably could be expected to cause damage to the national interest, security, or defense of the nation; and provide standards-compliant metadata and standards-compliant web services for all NGDA data assets, registered with data.gov and available as web services through the GeoPlatform. The Federal Government’s lead agencies for NGDA data assets will identify, inventory, and publish the status and standards being used for each of the NGDA data themes and content and services metadata, consistent with international standards, excluding public disclosure of any information that reasonably could be expected to cause damage to the national interest, security, or defense of the nation.10.1Strategic Plan_66414188-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Establish the NSDI strategic plan.StatusCompletion2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: SAOGI at OMB, FGDC, FGDC NGDA Lead Covered Agencies, GSA10.2GeoPlatform_ea289e90-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Publish a GeoPlatform providing standards-compliant web services for NGDAs.StatusPublication2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: SAOGI at OMB, FGDC, FGDC NGDA Lead Covered Agencies, GSA10.3EngagementsNumber_ea28a174-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Engage with other relevant councils. Number of engagements.12019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: SAOGI at OMB, FGDC, FGDC NGDA Lead Covered Agencies, GSA10.4CompliancePercentage_ea28a3cc-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Publish NGDA data theme data assets with standards compliant metadata and webservice endpoints. Percentage of NGDA data assets that are compliant. 2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: SAOGI at OMB, FGDC, FGDC NGDA Lead Covered Agencies, GSA10.5Standards ImplementationPercentage_ea28aa70-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Track NGDAs for implementation of standards. Percentages of NGDAs with: i) metadata standards, ii) established content standards, iii) standards in process, iv) data assets not requiring standards, v) no established standards. 2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: SAOGI at OMB, FGDC, FGDC NGDA Lead Covered Agencies, GSAShared SolutionsDevelop government-wide data services for the benefit of all agencies._b19dc9a8-2dd4-11ea-a6d4-d5cd0183ea003[To be named][To be named]Shared Solution Actions are described as government-wide data services and represent discrete pilot projects or efforts led by a single agency or existing council for the benefit of all agencies. The ten Shared Solution Actions identified in the 2020 Action Plan are designed to provide government-wide direction, tools, and/or services for implementing the strategy that other agencies will be able to leverage in the future. Many of the Shared Solution Actions have received financial resources as part of the CAP Goal: Leveraging Data as a Strategic Asset and are already underway. Similar to the Agency Actions and the Community of Practice Actions, the Shared Solution Actions will also support agencies as they implement existing policies and laws. For example, the Curated Data Skills Catalog to be developed under Action 13 will be available for use by all agencies in support of implementation of both the Evidence Act and the Executive Order on Maintaining American Leadership in Artificial Intelligence, both of which require an assessment of staff capacity for various data-related functions. The graphic below maps each of the ten Shared Solution Actions to a set of relevant laws and guidance.RepositoryDevelop a Repository of Federal Enterprise Data Resources_b19dd0f6-2dd4-11ea-a6d4-d5cd0183ea00Action 11GSAResponsible PartyOffice of Government Information Services of the National ArchivesResponsible PartyOMBResponsible PartyBy December 2020, the General Services Administration (GSA), the Office of Government Information Services of the National Archives, and OMB will collaborate with stakeholders to develop the website resources.data.gov, a government-wide repository of policies, standards, tools, best practices, and case studies that is required under the Evidence Act.12 This repository, titled Federal Enterprise Data Resources, has been established to provide centralized access to resources related to Federal data management and use in support of agencies as they seek to execute both the FDS and the requirements of the Evidence Act. The repository will include the following types of resources: * Case Studies: Examples of what agencies are currently implementing * Data.gov Schema: The standard metadata schema required for inclusion in data.gov, the Federal data catalog * Federal Data Strategy: Guiding principles and best practices and associated implementation tools * Playbooks: Decision points, checklists, and questions that help organizations navigate options * Requirements: Definitions, laws, policies, and regulations * Skill Builders: Professional development resources and curriculums to improve data-related skills * Standards: Guidance on preferred technical formats, licensing, and resources related to implementing data standards * Tools: Tools available to agencies to help execute data goals11.1Updates_664143f4-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Make regular updates to resources.data.gov in response to stakeholder input. Frequency of feature updates and site improvements.FrequencyRegularity2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: GSA11.2ResourcesNumber_ea28ad86-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Track growth and success of the site. Number of resources available by type, resource usage.12019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: GSA11.3EngagementsNumber_ea28b02e-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Engage stakeholders to prioritize content. Number of stakeholder engagement activities.12019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: GSA, the Office of Government Information Services of the National Archives, and OMBData PolicyCreate OMB Federal Data Policy Committee_b19dd2a4-2dd4-11ea-a6d4-d5cd0183ea00Action 12OMBResponsible PartyFederal Data Policy CommitteeResponsible PartyBy January 2020, OMB will establish the FDPC that will help agencies deliver on mission and effectively steward taxpayer dollars by enhancing OMB’s coordination of Federal data policy, governance, and resource considerations. OMB has statutory responsibility and coordinates many government-wide priorities and functions, many of which have a data-related dimension. The FDPC will be a mechanism to coordinate OMB’s own data policy development and implementation activities for the Federal Government, including those necessary for the executive branch to meet existing and new legal requirements as well as addressing emerging priority data governance areas such as preparing data for use in artificial intelligence. Over time, the FDPC will also provide a forum for OMB offices to address selected data issues that cross agencies or span executive councils’ responsibilities. The FDPC is responsible for government-wide management, governance, and resource priorities for data management standardization and use, including by contributing to the FDS’s annual action plans and align transformation efforts to reduce costs, duplication, and burden. The FDPC will be comprised of senior staff representing OMB’s statutory and programmatic areas, including offices responsible for evaluation, financial management, information technology, performance management, privacy, procurement, regulations, resource management, and statistical policy. The FDPC’s charter will specify roles and responsibilities. OMB’s approach to working across its functional areas will furthermore serve as a model for individual agencies to bridge their own functional silos.12.1FDPC MeetingsNumber_664147a0-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Launch FDPC. Number of meetings held.12019-12-232020-01-31[To be determined]2019-12-232020-01-31Target Date: 1 month. Responsible Party: OMB12.2Priorities_ea28b2ae-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Set priorities for 2020. Completion of written priorities endorsed by membership.StatusEndorsement2019-12-232020-03-31[To be determined]2019-12-232020-03-31Target Date: 3 months. Responsible Party: OMB12.3PoliciesNumber_ea28b52e-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Carry out at least 1 data policy coordination activity. Number of data policy related memorandum and circulars updated, streamlined, or rescinded.12019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: OMBSkills CatalogDevelop a Curated Data Skills Catalog_b19dd43e-2dd4-11ea-a6d4-d5cd0183ea00Action 13GSAResponsible PartyCDO CouncilResponsible PartyBy November 2020, GSA will complete a curated data skills catalog of learning opportunities to help agencies develop competencies for managing data as a strategic asset and making data-driven decisions. This skills catalog will be aligned to Federal needs for information about existing learning providers, programs, courses, certifications and other credentials, and opportunities for employees to practice and apply new skills. The catalog will incorporate Federal and non-Federal stakeholder input and will be released in multiple stages to allow useful content to be available as soon as it is ready rather than in a single, delayed release. Demand for skills identified in other parts of the FDS, including Action 4, will inform the priorities for how the catalog is built. This resource will incorporate information about significant roles in the data ecosystem into its organization and take into account skills, experience, and responsibilities of key job functions as well as support the results of data maturity assessments agencies will do as part of Action 3. The contents of the catalog will initially be available to the CDOs of each agency as well as other relevant Federal communities as it is being built. Contributions to its development will be encouraged from other groups throughout the process.13.1Draft_66414ac0-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Share draft catalog contents with CDOs and other stakeholders.StatusSharing2019-12-232020-02-29[To be determined]2019-12-232020-02-29Target Date: 2 months. Responsible Party: GSA13.2ImprovementsNumber_ea28b7b8-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Collect input and make revisions. Number of stakeholder engagement activities; Improvements added.12019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Responsible Party: GSA13.3ResourcesNumber_ea28ba4c-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Publish the catalogue on resources.data.gov Posted to resources.data.gov; Number of resources available in the catalog by data role.12019-12-232020-11-30[To be determined]2019-12-232020-11-30Target Date: 11 months. Responsible Party: GSA13.4Maintenance_ea28bcea-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Transfer responsibility for maintenance to the CDO council.StatusTransfer2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: CDO CouncilEthicsDevelop a Data Ethics Framework_b19dd614-2dd4-11ea-a6d4-d5cd0183ea00Action 14GSAResponsible PartyCDO CouncilResponsible PartyICSPResponsible PartyBy December 2020, GSA will develop a data ethics framework to help agencies systematically identify and assess the potential benefits and risks associated with the data they acquire, manage, and use. This framework is intended to help agency staff, managers, and leaders make considered data acquisition, management, and use decisions to address ethical issues they may encounter throughout the data lifecycle. The framework will be broad and flexible – outlining and describing high-level principles that can be applied to specific circumstances, such as preparing data for the responsible and ethical use of evolving technologies, including mitigating bias when developing AI and machine learning methods and systems. Once the completed framework and associated implementation tools are published, they will be promoted government-wide for agency use via the CDO Council, ICSP, and various other channels. Fully integrating a data ethics perspective into all aspects of agencies’ data management efforts will require substantial and long-term cultural change. It would involve staff at all levels undergoing training to support and refresh data literacy skills and reinforce protocols related to data privacy, confidentiality, and the ethical collection, use, storage, and dissemination of data. Leadership support, spearheaded by CDOs and Statistical Officials, is crucial, as is agency input into the design of tailored ethics frameworks and their implementation. Initial work to develop a data ethics framework has already begun with a review of data ethics frameworks developed by other countries, organizations, and advocacy groups to identify common elements and themes to inform development of a U.S. data ethics framework. Next, an inter-agency team will conduct iterative Federal and non-Federal stakeholder engagement. This process will employ a variety of consultation, design, and assessment approaches to ensure broad input into the framework, such as: * Framework prototypes: Creating prototypes based on ideas from various user communities on the design, construction, and structure of the framework. * Open and targeted feedback: Sharing draft concepts and a draft framework to enable stakeholders to meaningfully engage and provide input. * Pilots: Encouraging agencies to pilot a prototype framework using their own data management processes and provide specific feedback about its utility, completeness, and drawbacks. * Use cases: Developing use cases to illustrate the application of the framework across the data lifecycle.14.1Examination_66414d5e-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Initial examination of ethical issues encountered across data life cycle.StatusCompletion2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Responsible Party: GSA with CDO Council and ICSP14.2Framework & Use Cases_ea28bf88-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Release initial data ethics framework and use cases. Posted to resources.data.gov.StatusRelease2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: GSA14.3Responsibility_ea28c244-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Transfer responsibility for review and update.StatusTransfer2019-12-232021-12-31[To be determined]2019-12-232021-12-31Target Date: Ongoing every 24 months. Responsible Party: CDO Council, ICSPData ProtectionDevelop a Data Protection Toolkit_b19dd7cc-2dd4-11ea-a6d4-d5cd0183ea00Action 15FCSMResponsible PartyBy December 2020, the Federal Committee on Statistical Methodology (FCSM), with direction from the ICSP, and the Department of Education will develop a data protection toolkit. The way the Federal Government provides, maintains, and uses data has a unique place in society because use of Federal data has a tremendous impact on the public, businesses, and our democratic process. This trust includes protecting or excluding private information when releasing data publicly. By developing this critical community resource, the Federal Government is demonstrating commitment to strengthening privacy and confidentially promises now and into the future. This action is designed to address the need to maintain confidentiality and data privacy when providing access to Federal data assets due to the threat of the growing threat of re-identification risk to individuals and businesses from combining publicly available data. Once completed, the data protection toolkit can be used by agencies to develop and implement cost-effective data protection programs. This web-based toolkit will provide a repository for best practices regarding confidentiality and data privacy practices based on existing and emerging standards in partnership with agencies, academia, and industry. The toolkit is intended to serve as a central resource for guidance, tools, and templates to help agencies avoid the unintentional release of data assets that could be used to re-identify individual people or entities. In addition to developing the toolkit, the FCSM will update the 2005 Report on Statistical Disclosure Limitation Methodology15, which has served as a primary reference for agencies on approaches for maintaining confidentiality and data privacy in Federal data releases. The revision will include more detailed guidance for agencies on assessing, managing, and mitigating the risk that individuals or enterprises are re-identified.15.1Toolkit_66415330-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Release initial toolkit. Posted to resources.data.govStatusRelease2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: FCSM15.2Report_ea28c500-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Release updated Report on Statistical Disclosure Limitation Methodology. Posted to resources.data.govStatusRelease2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: FCSMResearchPilot a One-stop Standard Research Application_b19dd984-2dd4-11ea-a6d4-d5cd0183ea00Action 16Census BureauResponsible PartyBy March 2020, the Federal Statistical Research Data Center Program Management Office of the U.S. Census Bureau, under the direction of the ICSP, will pilot the first phase of a one-stop portal that reduces the burden on researchers requesting access to restricted Census Bureau data assets. The current process for obtaining restricted data from multiple agencies for research and evidence-building purposes is fragmented, uncoordinated, and requires following a different application process for each agency. Standardizing the application process will eliminate confusion, reduce complexity, improve the user experience, and reduce the wait time to access data, which can range from months to years. Agencies with active researcher access programs will collaborate with each other and their stakeholder communities to reduce the burden resulting from duplicative and non-standard access request application forms. This standard approach will assist agencies in setting consistent access protocols as required by the Evidence Act. In addition to informing future phases of this pilot, these efficiencies will improve and expand access to data for evidence-building while promoting transparency.16.1Portal_664157ea-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Create pilot portal.StatusCreation2019-12-232020-03-31[To be determined]2019-12-232020-03-31Target Date: 3 months Responsible Party: Census Bureau16.2UsersNumber_ea28c884-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Recruit users to try the portal and give feedback. Number of users.2019-12-232020-04-30[To be determined]2019-12-232020-04-30Target Date: 4 months. Responsible Party: Census Bureau16.3Report_ea28cb5e-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Publish report describing success of the project and feedback that will inform future improvements. Posted to resources.data.gov.StatusPublication2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: Census BureauCollection ReviewsPilot an Automated Tool for Information Collection Reviews that Supports Data Inventory Creation and Updates_b19ddb64-2dd4-11ea-a6d4-d5cd0183ea00Action 17NCESResponsible PartyBy July 2020, the National Center for Education Statistics (NCES) within the U.S. Department of Education will complete a pilot of an automated tool that leverages agency Information Collection Review (ICR) processes and documentation to build agency data inventories and update metadata in agency data inventories. Under the Paperwork Reduction Act,16 all agencies must undergo an ICR in order to gain approval from OMB to collect information from the public. For many agencies, a substantial fraction of data inventory items originate with an information collection. The automated tool generated under this action will include an electronic template and database management system that facilitates the development and standardization of the content of ICRs developed by agencies for OMB review. The template will have fields that include metadata needed in the agency data inventory that will be tagged in the underlying database. After the agency CDO certifies, and OMB approves, the ICR, the tagged items can be extracted for the agency data inventory. This automated tool will support the inventory requirements under the Evidence Act by organizing metadata captured as part of the information collection design phase into agency inventories. However, this template will only collect some of the information needed for a complete inventory. Metadata resulting from the completed collection (e.g., response rates, variable names, labels, URL for report and data) will need to be acquired through other means before the inventory update can be completed. This action will begin a multi-year process of deploying an automated approach to populating needed information on agency data inventories using information that is already required to approve ICRs through what has traditionally been a separate process. This project will help address public, cross-agency, and intra-agency needs for data discovery and access by leveraging these existing processes and information. In so doing, the amount of metadata generated by agencies will go beyond the minimum standards currently required,17 and better enable prospective data users to understand the degree to which an already collected data asset can meet their needs. Agency input will be used to inform development and expansion of this pilot.17.1Tool_66415ae2-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Develop pilot tool.StatusDevelopment2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Responsible Party: NCES17.2AgenciesNumber_ea28ce4c-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Test tool with at least two agencies.22019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: NCES17.3ActivitiesNumber_ea28d13a-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Engage stakeholders for feedback on the tool. Number of stakeholder engagement activities.12019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: NCES17.4Report_ea28d43c-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Publish report describing agency tests and stakeholder input Posted to resources.data.govStatusPublication2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: NCESData ManagementPilot Enhanced Data Management Tool for Federal Agencies_b19ddd30-2dd4-11ea-a6d4-d5cd0183ea00Action 18GSAResponsible PartyBy September 2020, GSA will have developed and piloted an improved tool for metadata management, data hosting, and API capabilities in support of open data and Federal data catalog requirements under the Evidence Act. Currently, most agencies have to identify their own solution for managing their data inventories, metadata, and APIs. This project will provide agencies with an option to use a centrally developed and hosted data management tool, designed to reduce cost and workload at any individual agency. GSA will create a government-wide platform pilot with a shared code base and cloud hosting that is customizable to support agency needs, leveraging data.gov’s existing open source codebase. This approach can provide agencies with a cost-effective option to manage metadata and data assets, host data assets for public access, assist in the improvement in the quality of metadata and result in increased use and improved user experience for the public and for agencies.18.1Demonstration_6641617c-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Demonstrate pilot and initial feature set with a pilot agency.StatusCompletion2019-12-232020-03-30[To be determined]2019-12-232020-03-30Target Date: 3 months. Responsible Party: GSA18.2Roadmap_ea28d734-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Infrastructure/security roadmap for production platform.StatusCompletion2019-12-232020-03-31[To be determined]2019-12-232020-03-31Target Date: 3 months. Responsible Party: GSA18.3Interoperability_ea28da4a-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Achieve interoperability with continually updated Federal open data metadata schema.StatusAchievement2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Responsible Party: GSA18.4Business Plan_ea28dd56-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Develop business plan and cost model. Posted to resources.data.govStatusPosting2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Responsible Party: GSA18.5AgenciesNumber_ea28e06c-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6On-board agency customers. Number of agencies on-boarded.12019-12-232020-09-30[To be determined]2019-12-232020-09-30Target Date: 9 months. Responsible Party: GSA18.6Data AssetsNumber_ea28e382-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Demonstrate increased data asset availability and improved usage. Number of datasets and usage of data assets through platform.12019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: GSAData QualityDevelop Data Quality Measuring and Reporting Guidance_b19ddf06-2dd4-11ea-a6d4-d5cd0183ea00Action 19FCSMResponsible PartyBy December 2020, the FCSM, under direction of the ICSP, will: * Identify best practices for measuring and reporting on the quality of data outputs created from multiple sources or from secondary use of data assets; * Develop documentation best practices for agencies to apply to administrative or programmatic data likely to be secondarily useful, such as for evidence building; and * Create tools to help agencies follow practices to support effective secondary uses of data. ^ Assessing the fitness for specific uses of data is critical to leveraging data effectively. Such an assessment answers the question: Does a data asset have an appropriate level of accuracy, timeliness, and relevance to support the intended use? This action facilitates such assessments by articulating best practices for reporting on the quality of data outputs. Such best practices may include, for example, documentation of a data asset’s representativeness, precision, and coherence. Consistent reporting on such elements allows stakeholders to make informed choices about their use of the data outputs. The action builds on FCSM’s past and current efforts to assess the utility of administrative data for statistical uses, measure data quality in statistical outputs, and establish best practices for reporting on data quality to the public. The action promotes the effective application of these data best practices by encouraging agencies that originate data to maintain metadata that supports data quality measurement. Such metadata may include, for example, information about potential and actual data providers, ways in which data is gathered, and adjustments made to the data during processing. By pairing the guidance with tools such as metadata templates, the action aims to cultivate data quality reporting in a coordinated Federal Government context.19.1Report_664165fa-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Completion of report on best practices for reporting on output quality. Posted to resources.data.govStatusPosting2019-12-232020-06-30[To be determined]2019-12-232020-06-30Target Date: 6 months. Responsible Party: FCSM19.2Guidance_ea28e6a2-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Completion of metadata guidance for use by data originators. Posted to resources.data.govStatusPosting2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: FCSM19.3Tools_ea28e9d6-2e58-11ea-bd1a-70248cbabdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Develop tools to aid metadata maintenance. Posted to resources.data.govStatusPosting2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: FCSMData StandardsDevelop a Data Standards Repository_b19de10e-2dd4-11ea-a6d4-d5cd0183ea00Action 20GSAResponsible PartyOMBResponsible PartyBy December 2020, GSA will collaborate with OMB, in consultation with the National Institute of Standards and Technology, to create a data standards repository to accelerate the creation and adoption of data standards across agencies. It will include information about the different types of existing standards of all types (e.g., metadata, content, classification), including policies related to using voluntary consensus standards, information about standards-developing organizations and communities of practices inside and outside of government, and a catalog of data standards already in use by the Federal Government. The repository will connect to resources.data.gov and will leverage existing repositories of standards-developing methods and tools, and efforts such as the U.S. Data Federation, the National Information and Exchange Model (niem.gov), and Federal and non-Federal partner community repositories such as the Common Education Data Standards (ceds.ed.gov), Fair Sharing (fairsharing.org), and Registry of Research Data Repositories (re3data.org). The data standards repository will be designed as a user-friendly website in support of both more and less technical users.20.1Repository_664168fc-2dde-11ea-89b4-de7271babdf6_c7685442-2dd4-11ea-9814-67176fbabdf6Develop repository with communities, frameworks, and schemas.StatusDevelopment2019-12-232020-12-31[To be determined]2019-12-232020-12-31Target Date: 12 months. Responsible Party: GSA and OMB_66416d70-2dde-11ea-89b4-de7271babdf62019-12-232020-01-03https://strategy.data.gov/action-plan/_664170cc-2dde-11ea-89b4-de7271babdf6OwenAmburOwen.Ambur@verizon.net