The Government of PNG through the National Executive Council (NEC) Decision No. 135/2010 deliberated on the lack of core statistics for informed decision-making and evidence-based planning and as a result directed relevant Government departments responsible for producing and using statistics to develop a National Strategy for the Development of Statistics (NSDS) for the country.

The PNGSDS will strengthen the Papua New Guinea Statistical System and support PNG’s development agenda through evidence-based process. It is a cycle that will have two midterm reviews before a major review in 2027.

In accordance with the government's open data policy, the National Science and Technology Commission has formulated a government data opening action strategy to implement data openness.

This National Strategy to Advance Privacy-Preserving Data Sharing and Analytics is a cohesive national strategy to advance the research, development, and adoption of privacy-preserving data sharing and analytics technologies.

On July 1, NITRD released the National Privacy Research Strategy. Research agencies across government participated in the development of the strategy, reviewing existing Federal research activities in privacy-enhancing technologies, soliciting inputs from the private sector, and identifying priorities for privacy research funded by the Federal Government. The National Privacy Research Strategy calls for research along a continuum of challenges, from how people understand privacy in different situations and how their privacy needs can be formally specified, to how these needs can be addressed, to how to mitigate and remediate the effects when privacy expectations are violated.

SDI | Data | Data Governance | News |NGA releases new data strategy to navigate digital, GEOINT revolution SPRINGFIELD, Virginia — The National Geospatial-Intelligence Agency published the agency’s data strategy Oct. 6, outlining its plans to transform and improve the way data is created, managed and shared in order to maintain dominance in the delivery of geospatial intelligence. “It is essential that we take all actions necessary to sustain our advantage in GEOINT — and that includes managing our data as a key strategic asset,’’ stated NGA Director Vice Adm. Robert Sharp in the data strategy. “With the holistic enterprise approach mapped out within this new data strategy, NGA sets forth a path for leading the way and staying ahead of our competitors.’’ The NGA Data Strategy 2021, a 28-page public document, includes both strategic goals and courses of action for the agency as it continues to chart a secure and innovative path forward while facing increasing amounts of data, risk and competition. Aligned to the agency’s Moonshot effort to “deliver trusted GEOINT with the speed, accuracy and precision required,’’ the strategy calls for the accelerated, shared and trusted use of data to help NGA better deliver on its mandates and show the way. The plan, created as a companion document to the NGA Technology Strategy published in 2020, already has played an integral role in the agency’s recent adoption of a new data governance structure to provide a coordinated framework for data policies and stewardship. The data strategy, combined with the established collaborative data governance program, guides the agency’s push to close the gap between current and future capabilities by accelerating developments in four significant focus areas: making data easily accessible, improving data reusability, improving cross-domain efficiencies and enabling next-generation GEOINT. The strategy describes four key goals being pursued by NGA to meet its mission and business needs. To achieve its desired results, the agency seeks to: — Manage data as a strategic asset: Deploy a federated enterprise data governance framework that ensures data is proactively, strategically and consistently managed while enabling agility, flexibility and innovation. Relationship to SDI'sThis reference resource provides a reference resource for SDI related activities in the intelligence community.The National Geospatial Intelligence Agency is a Federal participating organization in the Federal Geographic Data Committee. A Senior NGA Representative is a member of the FGDC Executive Committee A Senior NGA Representative is appointed by the Secretary of Interior to the National Geospatial Advisory Committee established in the Geospatial Data Act of 2018 "The head of each covered agency and the Director of the National Geospatial-Intelligence Agency shall each designate a representative of their respective agency to serve as a member of the Committee."The Geospatial Data Act of 2018 U.S.C 2804 Geospatial Standards, requires FGDC to "shall include universal data standards that shall be acceptable for the purposes of declassified intelligence community data"Additional ResourcesFederal Geographic Data CommitteeNational Geospatial Advisory CommitteeNational Geospatial Intelligence Agency National Geospatial Intelligence Agency Products and ServicesFGDC Standards

Executive Summary: Artificial intelligence (AI) is a transformative technology that holds promise for tremendous societal and economic benefit. AI has the potential to revolutionize how we live, work, learn, discover, and communicate. AI research can further our national priorities, including increased economic prosperity, improved educational opportunities and quality of life, and enhanced national and homeland security. Because of these potential benefits, the U.S. government has invested in AI research for many years. Yet, as with any significant technology in which the Federal government has interest, there are not only tremendous opportunities but also a number of considerations that must be taken into account in guiding the overall direction of Federally-funded R&D in AI. On May 3, 2016,the Administration announced the formation of a new NSTC Subcommittee on Machine Learning and Artificial intelligence, to help coordinate Federal activity in AI.1 This Subcommittee, on June 15, 2016, directed the Subcommittee on Networking and Information Technology Research and Development (NITRD) to create a National Artificial Intelligence Research and Development Strategic Plan. A NITRD Task Force on Artificial Intelligence was then formed to define the Federal strategic priorities for AI R&D, with particular attention on areas that industry is unlikely to address. This National Artificial Intelligence R&D Strategic Plan establishes a set of objectives for Federallyfunded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia. The ultimate goal of this research is to produce new AI knowledge and technologies that provide a range of positive benefits to society, while minimizing the negative impacts. To achieve this goal, this AI R&D Strategic Plan identifies the following priorities for Federally-funded AI research: Strategy 1: Make long-term investments in AI research. Prioritize investments in the next generation of AI that will drive discovery and insight and enable the United States to remain a world leader in AI. Strategy 2: Develop effective methods for human-AI collaboration. Rather than replace humans, most AI systems will collaborate with humans to achieve optimal performance. Research is needed to create effective interactions between humans and AI systems. Strategy 3: Understand and address the ethical, legal, and societal implications of AI. We expect AI technologies to behave according to the formal and informal norms to which we hold our fellow humans. Research is needed to understand the ethical, legal, and social implications of AI, and to develop methods for designing AI systems that align with ethical, legal, and societal goals. Strategy 4: Ensure the safety and security of AI systems. Before AI systems are in widespread use, assurance is needed that the systems will operate safely and securely, in a controlled, well-defined, and well-understood manner. Further progress in research is needed to address this challenge of creating AI systems that are reliable, dependable, and trustworthy. Strategy 5: Develop shared public datasets and environments for AI training and testing. The depth, quality, and accuracy of training datasets and resources significantly affect AI performance. Researchers need to develop high quality datasets and environments and enable responsible access to high-quality datasets as well as to testing and training resources. Strategy 6: Measure and evaluate AI technologies through standards and benchmarks. . Essential to advancements in AI are standards, benchmarks, testbeds, and community engagement that guide and evaluate progress in AI. Additional research is needed to develop a broad spectrum of evaluative techniques. Strategy 7: Better understand the national AI R&D workforce needs. Advances in AI will require a strong community of AI researchers. An improved understanding of current and future R&D workforce demands in AI is needed to help ensure that sufficient AI experts are available to address the strategic R&D areas outlined in this plan. The AI R&D Strategic Plan closes with two recommendations: Recommendation 1: Develop an AI R&D implementation framework to identify S&T opportunities and support effective coordination of AI R&D investments, consistent with Strategies 1-6 of this plan. Recommendation 2: Study the national landscape for creating and sustaining a healthy AI R&D workforce, consistent with Strategy 7 of this plan.

This document is the National Strategy on Microelectronics Research called for in Section 9906 of Public Law (P.L.) 116-283, Title XCIX. This strategy identifies four goals to guide agency efforts in microelectronics research to (a) accelerate the domestic development and production of microelectronics and strengthen the domestic microelectronics workforce; and (b) ensure that the United States remains a global leader in the field of microelectronics R&D. In addition to input from the many agencies represented on SML, it reflects extensive consultation with the Industrial Advisory Committee established under P.L. 116-283 as well as other stakeholders from industry, non-governmental organizations, and academia.

On April 7, 2015, the Executive Yuan issued a letter promulgating the "Regulations for the Establishment of Government Information Open Consultation Groups." Consultation groups of central-level agencies should formulate strategies for open data initiatives for the agency and its affiliated organizations, strengthen the quality and quantity of open government data, and establish mechanisms for promotion and performance management. Accordingly, this commission will draft the "National Development Council's Open Data Action Strategy" as the basis for conducting open data business for each unit of the commission and its affiliated organizations.

The dataset consists of 375 extracted quotes from 31 community reports relevant to the development of a materials data strategy for the NIST Materials Measurement Laboratory (MML). The dataset is used in the NIST internal report "A Materials Data Strategy." In the past decade, numerous public and private sector documents have highlighted the need for materials data to facilitate advanced technologies in myriad industrial and economic sectors. These documents have been analyzed to identify prevalent gaps in the establishment of an interconnected materials data infrastructure akin to that envisioned in the federal agency-wide Materials Genome Initiative. The internal report uses a uniform schematic format to portray these gaps, illustrate progress in addressing the gaps, and propose an MML roadmap of action items to further address the gaps.

National Privacy Research Strategy

Trinidad and Tobago’s National Information and Communication Technology (ICT) Strategy is a comprehensive plan that leverages the power of people, innovation, education, information technology and infrastructure to accelerate social, economic and cultural development. The Strategy complements and builds upon Vision 2020, and will play a central role in Trinidad and Tobago becoming a knowledge-based society and achieving its goal of developed country status.

Ministry of Digital Transformation National Digital Strategy 2024-2027

Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation, even technology itself. On February 11, 2019, the President signed Executive Order 13859, Maintaining American Leadership in Artificial Intelligence. This order launched the American AI Initiative, a concerted effort to promote and protect AI technology and innovation in the United States. The Initiative implements a whole-of-government strategy in collaboration and engagement with the private sector, academia, the public, and like-minded international partners. Among other actions, key directives in the Initiative call for Federal agencies to prioritize AI research and development (R&emp;D) investments, enhance access to high-quality cyberinfrastructure and data, ensure that the Nation leads in the development of technical standards for AI, and provide education and training opportunities to prepare the American workforce for the new era of AI. In support of the American AI Initiative, this National AI R&emp;D Strategic Plan: 2019 Update defines the priority areas for Federal investments in AI R&emp;D. This 2019 update builds upon the first National AI R&emp;D Strategic Plan released in 2016, accounting for new research, technical innovations, and other considerations that have emerged over the past three years. This update has been developed by leading AI researchers and research administrators from across the Federal Government, with input from the broader civil society, including from many of America’s leading academic research institutions, nonprofit organizations, and private sector technology companies. Feedback from these key stakeholders affirmed the continued relevance of each part of the 2016 Strategic Plan while also calling for greater attention to making AI trustworthy, to partnering with the private sector, and other imperatives.

This is NSF's strategic plan for FY 2022-2026

In accordance with the Executive Yuan's ide@ Taiwan 2020 policy white paper, we will establish a government data open consultation mechanism, complete a trusted data open environment, and promote cross-domain public-private cooperation. Therefore, we have formulated this department's action strategy to lead the Ministry of National Defense and its various agencies to deepen the promotion of data openness.

The National Sustainable Development Strategy (NSDS) declares the development journey for a better quality of life for every Nauruan. It is a road map that reflects the reforms needed to be put in place and the strategies for implementation, as the platform for a better life today and tomorrow.

The National Capital Strategic Economic Development Fund (NED) provides competitive funds in support of commercial and residential activities in areas targeted for revitalization. The program focuses on areas where modest investment and a coordinated strategy will have a substantial neighborhood revitalization impact. Nonprofit community development organizations and local governments are eligible to apply. Funds from the NED Program should support the goals and objectives outlined in a targeted area’s Sustainable Communities Action Plan. The program targets specific geographic regions within Prince George’s County and Montgomery County, Maryland. To learn more about the program requirements and boundaries, contact the regional program officer at 410-209-5800.

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This dataset hosts the published NEMs of Tuvalu;