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This framework builds on the assessment of federal scientific integrity policies and practices described in the January 2022 report, Protecting the Integrity of Government Science, and draws from extensive input from federal agencies, as well as from across sectors, including academia, the scientific community, public interest groups, and industry. It has several key components that federal departments and agencies will use to improve scientific integrity policies and practices, including:

The framework requires all agencies to designate a scientific integrity official, and agencies that fund, conduct, or oversee research to designate a chief science officer, and it establishes the National Science and Technology Council (NSTC) Subcommittee on Scientific Integrity to oversee implementation of the framework, and evaluate agency progress.

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The framework was developed following a robust effort to study and improve scientific integrity policies and outcomes, and extensive engagement with stakeholders inside and outside of the federal government starting in May 2021. This process included engaging 30 federal agencies, and processing feedback from over 1,000 individuals and organizations through three listening sessions, three roundtables, and two requests for information.

Strong policies and effective practices protecting scientific integrity are essential for the development of evidence-based policies. By bolstering these policies and practices across the federal government, this first-of-its-kind framework will strengthen the ability of agencies and federal scientists to produce critical scientific information for evidence-based policymaking that can help make our nation healthier, safer, more prosperous, and more secure.

The public meeting notices/agendas provide details on each of the focus group meetings. All CFCC meetings were open to the public, and there were opportunities for public comment at each meeting. Audio recordings of each of the CFCC meetings are available upon request by emailing healtheducationframework@cde.ca.gov or calling 916-324-2452.

The proposal is part of a wider AI package, which also includes the updated Coordinated Plan on AI. Together, the Regulatory framework and Coordinated Plan will guarantee the safety and fundamental rights of people and businesses when it comes to AI. And, they will strengthen uptake, investment and innovation in AI across the EU.

The Framework offered here is called a framework intentionally because it is based on a cluster of interconnected core concepts, with flexible options for implementation, rather than on a set of standards or learning outcomes, or any prescriptive enumeration of skills. At the heart of this Framework are conceptual understandings that organize many other concepts and ideas about information, research, and scholarship into a coherent whole. These conceptual understandings are informed by the work of Wiggins and McTighe,2 which focuses on essential concepts and questions in developing curricula, and also by threshold concepts3 which are those ideas in any discipline that are passageways or portals to enlarged understanding or ways of thinking and practicing within that discipline. This Framework draws upon an ongoing Delphi Study that has identified several threshold concepts in information literacy,4 but the Framework has been molded using fresh ideas and emphases for the threshold concepts. Two added elements illustrate important learning goals related to those concepts: knowledge practices,5 which are demonstrations of ways in which learners can increase their understanding of these information literacy concepts, and dispositions,6 which describe ways in which to address the affective, attitudinal, or valuing dimension of learning. The Framework is organized into six frames, each consisting of a concept central to information literacy, a set of knowledge practices, and a set of dispositions. The six concepts that anchor the frames are presented alphabetically:

In computer systems, a framework is often a layered structure indicating what kind of programs can or should be built and how they would interrelate. Some computer system frameworks also include actual programs, specify programming interfaces, or offer programming tools for using the frameworks. A framework may be for a set of functions within a system and how they interrelate; the layers of an operating system; the layers of an application subsystem; how communication should be standardized at some level of a network; and so forth. A framework is generally more comprehensive than a protocol and more prescriptive than a structure.

To help managers ensure accountability and responsible use of artificial intelligence (AI) in government programs and processes, GAO developed an AI accountability framework. This framework is organized around four complementary principles, which address governance, data, performance, and monitoring. For each principle, the framework describes key practices for federal agencies and other entities that are considering, selecting, and implementing AI systems. Each practice includes a set of questions for entities, auditors, and third-party assessors to consider, as well as procedures for auditors and third- party assessors.

GAO's objective was to identify key practices to help ensure accountability and responsible AI use by federal agencies and other entities involved in the design, development, deployment, and continuous monitoring of AI systems. To develop this framework, GAO convened a Comptroller General Forum with AI experts from across the federal government, industry, and nonprofit sectors. It also conducted an extensive literature review and obtained independent validation of key practices from program officials and subject matter experts. In addition, GAO interviewed AI subject matter experts representing industry, state audit associations, nonprofit entities, and other organizations, as well as officials from federal agencies and Offices of Inspector General.

Do not alter the elements of the IDDSI framework. Alterations may lead to confusion and errors in diet texture or drink selection for patients with dysphagia. Such errors have previously been associated with adverse events including choking and death.

The framework is guided by the principal policy objectives of the United States as laid out in the Executive Order on Ensuring Responsible Development of Digital Assets (March 9, 2022) and tailored to reflect the international aspects of our work:

Regional and Bilateral Engagements: The United States will identify where existing regional and bilateral engagements can be strengthened and, where appropriate, ramp up engagement with new partners to achieve our objectives with respect to digital assets. The United States will use these engagements under a coordinated framework for prioritization across departments and agencies to explore potential opportunities and risks of digital assets, engage in information sharing, drive the adoption and implementation of policies including with respect to AML/CFT; and provide technical assistance, where appropriate. The United States will explore opportunities for joint experimentation on digital assets technologies, market innovations and CBDCs, with this core set of allies and partners to increase our shared learning about ways to develop systems that meet our shared policy objectives.

Through a collaborative, authentic process, members of CPED developed a framework for EdD program design/redesign that supports creating quality, rigorous practitioner preparation while honoring the local context of each member institution.

Similar to the reading framework, the listening framework is a scientific approach to measuring both students' listening ability and complexity of audio materials on the same Lexile developmental scale.

The Pandemic Intervals Framework (PIF) describes the progression of an influenza pandemic using six intervals. This framework is used to guide influenza pandemic planning and provides recommendations for risk assessment, decision-making, and action in the United States. These intervals provide a common method to describe pandemic activity which can inform public health actions. The duration of each pandemic interval might vary depending on the characteristics of the virus and the public health response.

The conceptual framework for biodiversity and ecosystems services is to support the analytical work of the Platform, to guide the development, implementation and evolution of its work programme, and to catalyse a positive transformation in the elements and interlinkages that are the causes of detrimental changes in biodiversity and ecosystems and subsequent loss of their benefits to present and future generations. This conceptual and analytical tool is to underpin all IPBES functions and provide structure and comparability to the syntheses that IPBES will produce at different spatial scales, on different themes, and in different regions.

Salient innovative aspects of the conceptual framework are its transparent and participatory construction process and its explicit consideration of diverse scientific disciplines, stakeholders, and knowledge systems, including indigenous and local knowledge. In this sense, the conceptual framework is a tool for the achievement of a shared working understanding across different disciplines, knowledge systems and stakeholders that are expected to be active participants in the Platform, and is intended to be a basic common ground, general and inclusive, for coordinated action towards the achievement of the ultimate goal of the Platform.

These elements and their interrelations are further explained in the conceptual framework adopted by IPBES and in two scientific publications building on that decision. Further, a set of e-learning modules explaining the conceptual framework has been developed Sub-Global Assessment Network (SGAN), a collaborative supporter of IPBES. 006ab0faaa