The statistic shows results of a survey conducted in 2021 on honesty and ethical standards of people working in particular fields. In 2021, 81 percent of respondents rated the honesty and ethical standards of nurses highly or very highly.

As of 2023, around ** percent of U.S. adults rated the honesty and ethics of nurses as very high or high. This rating was lower in comparison to ** percent in 2019. This statistic presents the ratings for honesty and ethics of selected health professionals in the United States from 2019 to 2023.

Updated 11/1/2011. Monthly file that represents Ethics Statistics on Training Seminars, Employees Trained, Inquiries (Pre-Bid Meetings included), New Investigations, Advisory Opinions Issued, Vendor Compliance Audit, Lobbyist Expense Audit, and Pplitical Contributions Audit

On average, at least 40 percent of employees have come across some form of AI use that resulted in ethical issues. Capgemini Research Institute defines ethical issues stemming from the use of AI as interactions that result in outcomes that are unexplainable, not transparent, unfair, or biased against a certain group of users. An example of AI interactions resulting in ethical ssues is using an artificial intelligence system to screen job applicants that results in a disproportionate selection of candidates across gender, ethnicity, age, or other factors.

Background: Ethics is fundamental to all human interactions, yet understanding of its precise elements and their hierarchy remain superficial. Prior attempts to establish a ranking of ethical principles have yielded varied results, indicating the need for further exploration in this area. This study aims to contribute to the understanding of ethics by exploring the relative importance of its elements through a cross-sectional analysis. Objective: The aim of this study was to determine the relative ranking of the elements of ethics including justice, nonmaleficence, autonomy, beneficence, fidelity, veracity, public good and loyalty, in order to establish a working hierarchy of the principles. Methods: Participants were tasked with evaluating ethical conflicts depicted in scenarios. Using a scale of 1 to 10, participants rated their preferred responses to each scenario, allowing for the comparison of different ethical principles. Statistical analysis, including independent samples t-tests, was employed to determine significant differences in preferences. Results: Analysis of participant responses revealed discernible trends in the hierarchy of ethical principles. Notably, justice, non-maleficence, lawfulness, and autonomy emerged as top-tier principles, while beneficence and fidelity constituted second-tier elements. Public good, veracity, and loyalty comprised the third tier. These findings align with and extend upon existing literature, providing valuable insights into the relative importance of ethical principles. Conclusion: Our results indicate that Justice, Nonmaleficence, Lawfulness, and Autonomy, were most important as first-tier principles. Following them, Beneficence and Fidelity were recognized as second-tier principles, with Public Good, Veracity, and Loyalty falling into the third tier.

Ethical Data ManagementExecutive SummaryIn the age of data and information, it is imperative that the City of Virginia Beach strategically utilize its data assets. Through expanding data access, improving quality, maintaining pace with advanced technologies, and strengthening capabilities, IT will ensure that the city remains at the forefront of digital transformation and innovation. The Data and Information Management team works under the purpose:“To promote a data-driven culture at all levels of the decision making process by supporting and enabling business capabilities with relevant and accurate information that can be accessed securely anytime, anywhere, and from any platform.”To fulfill this mission, IT will implement and utilize new and advanced technologies, enhanced data management and infrastructure, and will expand internal capabilities and regional collaboration.Introduction and JustificationThe Information technology (IT) department’s resources are integral features of the social, political and economic welfare of the City of Virginia Beach residents. In regard to local administration, the IT department makes it possible for the Data and Information Management Team to provide the general public with high-quality services, generate and disseminate knowledge, and facilitate growth through improved productivity.For the Data and Information Management Team, it is important to maximize the quality and security of the City’s data; to develop and apply the coherent management of information resources and management policies that aim to keep the general public constantly informed, protect their rights as subjects, improve the productivity, efficiency, effectiveness and public return of its projects and to promote responsible innovation. Furthermore, as technology evolves, it is important for public institutions to manage their information systems in such a way as to identify and minimize the security and privacy risks associated with the new capacities of those systems.The responsible and ethical use of data strategy is part of the City’s Master Technology Plan 2.0 (MTP), which establishes the roadmap designed by improve data and information accessibility, quality, and capabilities throughout the entire City. The strategy is being put into practice in the shape of a plan that involves various programs. Although these programs was specifically conceived as a conceptual framework for achieving a cultural change in terms of the public perception of data, it basically covers all the aspects of the MTP that concern data, and in particular the open-data and data-commons strategies, data-driven projects, with the aim of providing better urban services and interoperability based on metadata schemes and open-data formats, permanent access and data use and reuse, with the minimum possible legal, economic and technological barriers within current legislation.Fundamental valuesThe City of Virginia Beach’s data is a strategic asset and a valuable resource that enables our local government carry out its mission and its programs effectively. Appropriate access to municipal data significantly improves the value of the information and the return on the investment involved in generating it. In accordance with the Master Technology Plan 2.0 and its emphasis on public innovation, the digital economy and empowering city residents, this data-management strategy is based on the following considerations.Within this context, this new management and use of data has to respect and comply with the essential values applicable to data. For the Data and Information Team, these values are:Shared municipal knowledge. Municipal data, in its broadest sense, has a significant social dimension and provides the general public with past, present and future knowledge concerning the government, the city, society, the economy and the environment.The strategic value of data. The team must manage data as a strategic value, with an innovative vision, in order to turn it into an intellectual asset for the organization.Geared towards results. Municipal data is also a means of ensuring the administration’s accountability and transparency, for managing services and investments and for maintaining and improving the performance of the economy, wealth and the general public’s well-being.Data as a common asset. City residents and the common good have to be the central focus of the City of Virginia Beach’s plans and technological platforms. Data is a source of wealth that empowers people who have access to it. Making it possible for city residents to control the data, minimizing the digital gap and preventing discriminatory or unethical practices is the essence of municipal technological sovereignty.Transparency and interoperability. Public institutions must be open, transparent and responsible towards the general public. Promoting openness and interoperability, subject to technical and legal requirements, increases the efficiency of operations, reduces costs, improves services, supports needs and increases public access to valuable municipal information. In this way, it also promotes public participation in government.Reuse and open-source licenses. Making municipal information accessible, usable by everyone by default, without having to ask for prior permission, and analyzable by anyone who wishes to do so can foster entrepreneurship, social and digital innovation, jobs and excellence in scientific research, as well as improving the lives of Virginia Beach residents and making a significant contribution to the city’s stability and prosperity.Quality and security. The city government must take firm steps to ensure and maximize the quality, objectivity, usefulness, integrity and security of municipal information before disclosing it, and maintain processes to effectuate requests for amendments to the publicly-available information.Responsible organization. Adding value to the data and turning it into an asset, with the aim of promoting accountability and citizens’ rights, requires new actions, new integrated procedures, so that the new platforms can grow in an organic, transparent and cross-departmental way. A comprehensive governance strategy makes it possible to promote this revision and avoid redundancies, increased costs, inefficiency and bad practices.Care throughout the data’s life cycle. Paying attention to the management of municipal registers, from when they are created to when they are destroyed or preserved, is an essential part of data management and of promoting public responsibility. Being careful with the data throughout its life cycle combined with activities that ensure continued access to digital materials for as long as necessary, help with the analytic exploitation of the data, but also with the responsible protection of historic municipal government registers and safeguarding the economic and legal rights of the municipal government and the city’s residents.Privacy “by design”. Protecting privacy is of maximum importance. The Data and Information Management Team has to consider and protect individual and collective privacy during the data life cycle, systematically and verifiably, as specified in the general regulation for data protection.Security. Municipal information is a strategic asset subject to risks, and it has to be managed in such a way as to minimize those risks. This includes privacy, data protection, algorithmic discrimination and cybersecurity risks that must be specifically established, promoting ethical and responsible data architecture, techniques for improving privacy and evaluating the social effects. Although security and privacy are two separate, independent fields, they are closely related, and it is essential for the units to take a coordinated approach in order to identify and manage cybersecurity and risks to privacy with applicable requirements and standards.Open Source. It is obligatory for the Data and Information Management Team to maintain its Open Data- Open Source platform. The platform allows citizens to access open data from multiple cities in a central location, regional universities and colleges to foster continuous education, and aids in the development of data analytics skills for citizens. Continuing to uphold the Open Source platform with allow the City to continually offer citizens the ability to provide valuable input on the structure and availability of its data. Strategic areasIn order to deploy the strategy for the responsible and ethical use of data, the following areas of action have been established, which we will detail below, together with the actions and emblematic projects associated with them.In general, the strategy pivots on the following general principals, which form the basis for the strategic areas described in this section.Data sovereigntyOpen data and transparencyThe exchange and reuse of dataPolitical decision-making informed by dataThe life cycle of data and continual or permanent accessData GovernanceData quality and accessibility are crucial for meaningful data analysis, and must be ensured through the implementation of data governance. IT will establish a Data Governance Board, a collaborative organizational capability made up of the city’s data and analytics champions, who will work together to develop policies and practices to treat and use data as a strategic asset.Data governance is the overall management of the availability, usability, integrity and security of data used in the city. Increased data quality will positively impact overall trust in data, resulting in increased use and adoption. The ownership, accessibility, security, and quality, of the data is defined and maintained by the Data Governance Board.To improve operational efficiency, an enterprise-wide data catalog will be created to inventory data and track metadata from various data sources to allow for rapid data asset discovery. Through the data catalog, the city will

Statistical applications are increasingly inducing ethical considerations, which are often not able to be resolved via statistics alone. In this article, we present a proposed course that combines applied statistics and moral philosophy. The instructional methods included are designed with implementation at a large research institution in mind but are fully intended to be transferable to any setting adopting such an interdisciplinary course into its curriculum. The aforementioned methods will foreground case-studies as tangible examples in a recurrent workflow involving identification of a dilemma, statistical analysis, philosophical defense, and application to the particular case study. Formative and summative assessment mechanisms will be presented alongside future directions and potential pitfalls of such a course. Motivating the proposed course is a desire to fill the comparative void in moral reasoning for statistics and data science curricula.

Background Ethics committees typically apply the common principles of autonomy, nonmaleficence, beneficence and justice to research proposals but with variable weighting and interpretation. This paper reports a comparison of ethical requirements in an international cross-cultural study and discusses their implications. Discussion The study was run concurrently in New Zealand, UK, Israel, Canada and USA and involved testing hypotheses about believability of testimonies regarding alleged child sexual abuse. Ethics committee requirements to conduct this study ranged from nil in Israel to considerable amendments designed to minimise participant harm in New Zealand. Assessment of minimal risk is a complex and unreliable estimation further compounded by insufficient information on probabilities of particular individuals suffering harm. Estimating potential benefits/ risks ratio and protecting participants' autonomy similarly are not straightforward exercises. Summary Safeguarding moral/humane principles should be balanced with promotion of ethical research which does not impede research posing minimal risk to participants. In ensuring that ethical standards are met and research has scientific merit, ethics committees have obligations to participants (to meet their rights and protect them from harm); to society (to ensure good quality research is conducted); and to researchers (to treat their proposals with just consideration and respect). To facilitate meeting all these obligations, the preferable focus should be promotion of ethical research, rather than the prevention of unethical research, which inevitably results in the impediment of researchers from doing their work. How the ethical principles should be applied and balanced requires further consideration.

This is data collected from a survey that was for members of GLAM institutions that were contributing to open knowledge projects (Wikidata, Wikipedia, SNAC, etc.). The purpose of the survey was to learn about policies and practices, or lack thereof, GLAM staff are following around contributing demographic information for living people (e.g., Sex or Gender, Ethnic Group, Race, Sexual Orientation, etc.) to open knowledge projects. Information collected from this survey will inform an ethical investigation into issues surrounding these practices.

Like most professional disciplines, the ASA has adopted ethical guidelines for its practitioners. To promote these guidelines, as well as to meet governmental and institutional mandates, U.S. universities are demanding more training on ethics within existing statistics graduate student curricula. Most of this training is based on the teachings of Western philosophers. However, many statistics graduate students are from Eastern cultures (particularly Chinese), and cultural and linguistic evidence indicates that Western ethics may be difficult to translate into the philosophical concepts common to students from different cultural backgrounds. This article describes how to teach cross-cultural ethics, with emphasis on the ASA Ethical Guidelines, within a graduate-level statistical consulting course. In particular, we present content that can help students overcome cultural and language barriers to gain an understanding of ethical decision-making that is compatible with both Western and Eastern philosophical models. Supplementary materials for this article are available online.

Slides from the introduction to a panel session at eResearch Australasia (Melbourne, October 2016). Panellists: Kate LeMay (Australian National Data Service), Gabrielle Hirsch (Walter and Eliza Hall Institute of Medical Research), Gordon McGurk (National Health and Medical Research Council) and Jeff Christiansen (Intersect).Short abstractHuman medical, health and personal data are a major category of sensitive data. These data need particular care, both during the management of a research project and when planning to publish them. The Australian National Data Service (ANDS) has developed guides around the management and sharing of sensitive data. ANDS is convening this panel to consider legal, ethical and secure storage issues around sensitive data, in the stages of the research life cycle: research conception and planning, commencement of research, data collection and processing, data analysis storage and management, and dissemination of results and data access.

The legal framework around privacy in Australia is complex and differs between states. Many Acts regulate the collection, use, disclosure and handling of private data. There are also many ethical considerations around the management and sharing of sensitive data. The National Health and Medical Research Council (NHMRC) has developed the Human Research Ethics Application (HREA) as a replacement for the National Ethics Application Form (NEAF). The aim of the HREA is to be a concise streamlined application to facilitate efficient and effective ethics review for research involving humans. The application will assist researchers to consider the ethical principles of the National Statement of Ethical Conduct in Human Research (2007) in relation to their research.

National security standard guidelines and health and medical research policy drivers underpin the need for a national fit-for-purpose health and medical research data storage facility to store, access and use health and medical research data. med.data.edu.au is an NCRIS-funded facility that underpins the Australian health and medical research sector by providing secure data storage and compute services that adhere to privacy and confidentiality requirements of data custodians who are responsible for human-derived research datasets.

Statistical records of integrity and ethics incidents filed in the year 2019

This repository contains de-identified evaluation data collected as part of the Ethical Considerations of Data: A Curriculum for Health Sciences Librarians pilot as well as the data collection instrument used.

These files are related to a forthcoming JMLA Case Study titled Engaging Health Sciences Librarians on Data Ethics: Case Study on a Pilot Curriculum.

Paper Abstract:
Three medical librarians developed a pilot curriculum designed to address perceived gaps in librarian training in regards to data ethics. One of the team members had additional academic training in ethics and bioethics, which helped to provide an intellectual foundation for this project. Our three-module class aimed to provide students with an overview of major ethical frameworks, skills to apply those frameworks to data issues, and an exploration of ethical considerations and challenges faced in libraries. Participants from library schools and professional library organizations were invited to apply. Twenty-four LIS professionals and students attended the Zoom-based class and shared their thoughts and attitudes by means of a survey after each session and in a focus group after the conclusion of the class.

International development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of its value in supplementing scarce national statistics and informing interventions, including in emergencies. In response to this claim, a ‘responsible data’ movement has evolved to discuss guidelines and frameworks that will establish ethical principles for data sharing. However, this movement is not gaining traction with those who hold the highest-value data, particularly mobile network operators who are proving reluctant to make data collected in low- and middle-income countries accessible through intermediaries. This paper evaluates how the argument for ‘data as a public good’ fits with the corporate reality of big data, exploring existing models for data sharing. I draw on the idea of corporate data as an ecosystem involving often conflicting rights, duties and claims, in comparison to the utilitarian claim that data's humanitarian value makes it imperative to share them. I assess the power dynamics implied by the idea of data as a public good, and how differing incentives lead actors to adopt particular ethical positions with regard to the use of data.

BackgroundThe internet is an increasingly popular tool in family and child research that is argued to pose new ethical challenges, yet few studies have systematically assessed the ethical issues of engaging parents and children in research online. This scoping review aims to identify and integrate evidence on the ethical issues reported when recruiting, retaining and tracing families and children in research online, and to identify ethical guidelines for internet research.MethodsAcademic literature was searched using electronic academic databases (Scopus, PsycINFO, Embase, ERIC, CINAHL and Informit) and handsearching reference lists for articles published in English between January 2006 and February 2016. Grey literature was searched using Google to identify relevant ethical guidelines.ResultsSixty-five academic articles were included after screening 3,537 titles and abstracts and 205 full-text articles. Most articles reported using the internet to recruit participants (88%) with few reporting online retention (12%) or tracing (10%). Forty percent commented on ethical issues; the majority did not discuss ethics beyond general consent or approval procedures. Some ethical concerns were specific to engaging minors online, including parental consent, age verification and children’s vulnerability. Other concerns applied when engaging any research participant online, including privacy and confidentiality, informed consent and disparities in internet access. Five professional guidelines and 10 university guidelines on internet research ethics were identified. Few academic articles (5%) reported using these guidelines.ConclusionsEngaging families and children in research online introduces unique challenges requiring careful consideration. While researchers regarded themselves as responsible for ensuring research is conducted ethically, lack of use of available guidelines and limited academic literature suggests internet research is occurring without suitable guidance. We recommend broad dissemination of ethical guidelines and encourage researchers to report the methodological and ethical issues of using the internet to engage families and children in research.

Overview of Ethical Considerations

Case-based learning (CBL) is a highly effective approach in health professions education that remains underutilized in the field of statistics. To promote broader adoption, we have developed realistic cases designed to help learners practice critical thinking and devise appropriate solutions for complex scenarios. These cases, used in our graduate-level statistical collaboration course, incorporate social factors and real-world implications. The first case explores a newly graduated biostatistician navigating the challenges of meeting a client's expectations. The second focuses on a junior biostatistician developing a statistical analysis plan for a client with limited statistical knowledge. The third case, inspired by the development of the American Statistical Association's ethical guidelines, deliberates their need. Both training materials and fully developed cases are provided. We also discuss strategies for educators to create and facilitate similar cases. By engaging students in thoughtful consideration of these scenarios within a safe, structured environment, we encourage them to examine their assumptions and conclusions. This preparation equips them for real-world roles as consultants and team scientists. Additionally, student feedback from course evaluations and surveys indicates strong support for CBL, with the majority recommending its use in similar educational contexts.

Abstract The study gathered evidence of validity based on the internal structure and relations with external variables of the Ethical Leadership Behavior Scale. The study participants were 405 workers of both sexes (64.7% female), aged 19-69 years (M = 35.7; SD = 10.9), who answered the Brazilian version of the scale and instruments to assess other constructs. The confirmatory factor analyses pointed to a final version of 35 items concentrated in a single factor, with an internal consistency index of 0.96. In the validity evidence in relation to external variables, the scale was positively and moderately correlated with work engagement, job satisfaction, and affective organizational commitment; weakly and positively with general mental health; and weakly and negatively with burnout. The future use of the scale in organizational research and diagnostics on ethical leadership behavior is recommended.

Financial overview and grant giving statistics of Ethics in Entrepreneurship