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.

The data strategy tracker highlights the progress made on the actions identified in the 2023-2026 Federal Data Strategy, a renewal of the 2018 Data Strategy Roadmap for the Federal Public Service. The tracker reports on the actions identified within each of the following missions: * Proactively considering data by design in all stages of government initiatives * Effectively stewarding data for decision-making * Improving user experience and maintaining trust by enabling data-driven services through data that flows securely where it is needed * Empowering the public service with the talent and tools it needs

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.

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.

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.

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.

The Federal Health IT Strategic Plan 2015-2020 explains how the federal government intends to apply the effective use of information and technology to help the nation achieve high-quality care, lower costs, a healthy population, and engaged individuals. The work described in this Plan aims to modernize the U.S. health IT infrastructure so that individuals, their providers, and communities can use it to help achieve health and wellness goals. The Plan goals, objectives, and strategies outline how this work will be organized and tracked over the term of this Plan. Access the full list of goals, objectives, and strategies below.

In December 2011 the NSTC released Trustworthy Cyberspace: Strategic Plan for the Federal Cybersecurity Research and Development Program, outlining a vision for the research needed to develop game-changing technologies to neutralize attacks on the cyber systems of today, and to establish scientific foundations to meet the challenges of securing the cyber systems of tomorrow. The Strategic Plan surfaced intersections of common interest and mutual benefit in cybersecurity research; outlined specific research and development areas that span multiple disciplines; and emphasized collaboration among researchers and technical experts in government, industry, academia, and international contexts...

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.

This dataset provides information from 99 federal organizations, detailing their departmental actions that contribute to advancing the goals, targets, and implementation strategies of the Federal Sustainable Development Strategy (FSDS). The data includes various actions taken by these organizations to support sustainability initiatives across the federal government.

The data strategy tracker highlights the progress made on the actions identified in the 2023-2026 Federal Data Strategy, a renewal of the 2018 Data Strategy Roadmap for the Federal Public Service. The tracker reports on the actions identified within each of the following missions: Proactively considering data by design in all stages of government initiatives Effectively stewarding data for decision-making Improving user experience and maintaining trust by enabling data-driven services through data that flows securely where it is needed Empowering the public service with the talent and tools it needs

COVID-19 has highlighted issues that make it a challenge to collect, share, and use health data for the benefit of Canadians. 'Health data' includes public health, health system and population health data. Reliable, timely and relevant public health data are crucial to help public health officials provide their best advice in public health emergencies. Good health data also leads to improvements in health outcomes for Canadians in the longer term. Health data is collected and shared now, but there are important gaps.

After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.

The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.

It is a weekly snapshot in time that:

• Focuses on recent outcomes in the last seven days and changes relative to the month prior
• Provides additional contextual information at the county level for each state, and includes national level information
• Supports rapid visual interpretation of results with color thresholds

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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.

Maryland Tributary Teams-comprised of local citizens, farmers, business leaders and government officials appointed by the Governor-are working to keep local waterways clean and healthy. TheTributary Team jurisdictions were determined from the watershed boundaries that were developed in a joint state and federal effort to create a consistent watershed file for use by all government agencies with an interest in Maryland's watersheds.

About Data.gov.au is the central source of Australian open government data. Anyone can access the public data published by federal, state and local government agencies. Data.gov.au are not responsible for creating, maintaining and updating these published datasets. Agencies are the custodians of the data they collect, and they make decisions about how it can be shared safely. They are often guided by legislation and policy requirements that can define what and how data can be shared. This data is a national resource that holds considerable value for growing the economy, improving service delivery and transforming policy outcomes. In addition to government data, you can also find publicly-funded research data and datasets from private institutions that are in the public interest. The federal government's Data and Digital Government Strategy requires all government agencies to make non-sensitive data open by default.

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.

This report provides a strategy to ensure that digital scientific data can be reliably preserved for maximum use in catalyzing progress in science and society.Empowered by an array of new digital technologies, science in the 21st century will be conducted in a fully digital world. In this world, the power of digital information to catalyze progress is limited only by the power of the human mind. Data are not consumed by the ideas and innovations they spark but are an endless fuel for creativity. A few bits, well found, can drive a giant leap of creativity. The power of a data set is amplified by ingenuity through applications unimagined by the authors and distant from the original field...