This story is about helping researchers create reusable data when their research has ethical constraints. Researchers are guided through appropriate paths to securing informed consent from research participants. This involves two aspects. The first is to make sure consent does not unnecessarily prevent preservation, sharing and reuse. The second is to ensure that adequate protections are applied to the creation or subsequent access to data through anonymisation or pseudonymisation techniques. It may also involve access restrictions being applied to data. This work effectively began in 2015 with the establishment of a research data support service at the University of Glasgow, but there is no ���finish��� date. Work is ongoing to continually refine, revise, and reform the support being offered.

BackgroundThe COVID-19 pandemic brought global disruption to health, society and economy, including to the conduct of clinical research. In the European Union (EU), the legal and ethical framework for research is complex and divergent. Many challenges exist in relation to the interplay of the various applicable rules, particularly with respect to compliance with the General Data Protection Regulation (GDPR). This study aimed to gain insights into the experience of key clinical research stakeholders [investigators, ethics committees (ECs), and data protection officers (DPOs)/legal experts working with clinical research sponsors] across the EU and the UK on the main challenges related to data protection in clinical research before and during the pandemic.Materials and methodsThe study consisted of an online survey and follow-up semi-structured interviews. Data collection occurred between April and December 2021. Survey data was analyzed descriptively, and the interviews underwent a framework analysis.Results and conclusionIn total, 191 respondents filled in the survey, of whom fourteen participated in the follow-up interviews. Out of the targeted 28 countries (EU and UK), 25 were represented in the survey. The majority of stakeholders were based in Western Europe. This study empirically elucidated numerous key legal and ethical issues related to GDPR compliance in the context of (cross-border) clinical research. It showed that the lack of legal harmonization remains the biggest challenge in the field, and that it is present not only at the level of the interplay of key EU legislative acts and national implementation of the GDPR, but also when it comes to interpretation at local, regional and institutional levels. Moreover, the role of ECs in data protection was further explored and possible ways forward for its normative delineation were discussed. According to the participants, the pandemic did not bring additional legal challenges. Although practical challenges (for instance, mainly related to the provision of information to patients) were high due to the globally enacted crisis measures, the key problematic issues on (cross-border) health research, interpretations of the legal texts and compliance strategies remained largely the same.

In 2024, the main concern of chief HR officers concerning artificial intelligence (AI) and ethics in the workplace was *******************************. The issue that was second in order of concern was ******************************************, with just over half of respondents who gave this as their answer.

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.

The dataset is from a survey of undergraduate students that measured engagement with the research participation consent process and attitudes and behaviours toward data privacy and security. The survey was conducted anonymously in 2023 using Qualtrics survey software.

Ethics and Compliance Learning Software Market Outlook

The global ethics and compliance learning software market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 2.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.2% during the forecast period. One of the primary growth factors driving this market is the increasing need for organizations to adhere to regulatory requirements and foster an ethical workplace culture.

One significant growth factor for the ethics and compliance learning software market is the escalating regulatory requirements across various industries. Governments and regulatory bodies worldwide are increasingly implementing stringent norms to ensure fair practices, data protection, and ethical behavior in organizations. This surge in regulation has necessitated businesses to adopt robust compliance programs, driving the demand for specialized learning software. Furthermore, high-profile corporate scandals have heightened awareness about the importance of ethics and compliance, prompting organizations to proactively invest in these learning solutions to avert potential reputational damage and legal repercussions.

Technological advancements are also fueling market growth. The incorporation of artificial intelligence (AI) and machine learning in ethics and compliance learning software is revolutionizing how organizations train their employees. These technologies enable adaptive learning experiences, personalized content delivery, and real-time monitoring and assessment, which significantly enhance the effectiveness of compliance programs. Additionally, the rise of cloud-based solutions offers scalability, flexibility, and cost-effectiveness, making it easier for organizations of all sizes to deploy these learning platforms.

The increasing globalization of businesses is another crucial growth driver. As companies expand their operations across different regions, they encounter diverse regulatory landscapes and cultural nuances. Ethics and compliance learning software provides a standardized approach to training employees on global compliance requirements while allowing customization to address local regulations and cultural contexts. This adaptability is essential for multinational corporations aiming to maintain consistent ethical standards and ensure compliance throughout their global workforce.

Regionally, North America dominates the ethics and compliance learning software market, primarily due to the stringent regulatory environment in the United States and Canada. The presence of several key market players in this region also contributes to its leadership position. Europe follows closely, driven by robust data protection regulations such as the General Data Protection Regulation (GDPR). The Asia Pacific region is expected to witness significant growth during the forecast period, attributed to increasing regulatory scrutiny and the growing adoption of digital learning solutions in countries like India, China, and Japan.

In the context of the transportation industry, ELD Compliance Software has emerged as a crucial tool for ensuring adherence to regulatory requirements. Electronic Logging Devices (ELDs) are mandated by regulations to record driving hours and ensure that drivers comply with hours-of-service rules. This software not only aids in compliance but also enhances operational efficiency by automating record-keeping processes. With the increasing emphasis on safety and regulatory compliance in the transportation sector, ELD Compliance Software is becoming an integral part of fleet management systems. It helps organizations avoid penalties, improve safety standards, and optimize driver productivity, thereby contributing to overall business success.

Component Analysis

The ethics and compliance learning software market is segmented into software and services. The software component encompasses various applications designed to facilitate compliance training, including modules for online courses, assessments, reporting, and analytics. The services component includes consulting, implementation, and support services that help organizations effectively deploy and manage their compliance training programs. Software forms the backbone of the market, with continuous innovations enhancing its capabilities. Modern software solutions leverage AI and machine learning to offer personalized training experiences, predictive analytics, and real-time monitoring.</p&g

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.

Several factors thwart successful data sharing—ambiguous or fragmented regulatory landscapes, conflicting institutional/researcher interests and varying levels of data science-related expertise are among these. Traditional ethics oversight mechanisms and practices may not be well placed to guarantee adequate research oversight given the unique challenges presented by digital technologies and artificial intelligence (AI). Data-intensive research has raised new, contextual ethics and legal challenges that are particularly relevant in an African research setting. Yet, no empirical research has been conducted to explore these challenges.We explored REC members’ views and experiences on data sharing by conducting 20 semi-structured interviews online between June 2022 and February 2023. Using purposive sampling and snowballing, we recruited representatives across sub-Saharan Africa (SSA). We transcribed verbatim and thematically analysed the data with Atlas.ti V22.Three dominant themes were identified: (i) experiences in reviewing data sharing protocols, (ii) perceptions of data transfer tools and (iii) ethical, legal and social challenges of data sharing. Several sub-themes emerged as: (i.a) frequency of and approaches used in reviewing data sharing protocols, (i.b) practical/technical challenges, (i.c) training, (ii.a) ideal structure of data transfer tools, (ii.b) key elements of data transfer tools, (ii.c) implementation level, (ii.d) key stakeholders in developing and reviewing a data transfer agreement (DTA), (iii.a) confidentiality and anonymity, (iii.b) consent, (iii.c) regulatory frameworks, and (iii.d) stigmatisation and discrimination.Our results indicated variability in REC members’ perceptions, suboptimal awareness of the existence of data protection laws and a unanimously expressed need for REC member training. To promote efficient data sharing within and across SSA, guidelines that incorporate ethical, legal and social elements need to be developed in consultation with relevant stakeholders and field experts, along with the training accreditation of REC members in the review of data-intensive protocols.

Ethics and Compliance LMS Market Outlook

The global market size for Ethics and Compliance Learning Management Systems (LMS) was valued at approximately USD 1.8 billion in 2023 and is forecasted to reach around USD 3.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.8% during the forecast period. The primary growth factor driving this market is the increasing need for organizations to adhere to regulatory norms and enhance their corporate governance standards.

One of the significant growth factors for the Ethics and Compliance LMS market is the increasing regulatory requirements across various industries such as BFSI, healthcare, and manufacturing. Organizations are under constant scrutiny to comply with various regulations that govern data protection, workplace safety, and ethical business practices. This has led to the widespread adoption of compliance training programs, facilitated through LMS platforms, to ensure employees are well-informed about the latest regulatory requirements and ethical standards.

The rising awareness about the importance of corporate governance and the role of ethics in maintaining a positive organizational image is another vital growth driver. In today’s business environment, companies are expected to demonstrate a high level of ethical conduct and transparency in their operations. Ethics and Compliance LMS provide a structured approach to train employees on ethical guidelines and compliance protocols, ensuring that the organization’s values are deeply ingrained in its workforce.

Technological advancements in LMS solutions, including the integration of artificial intelligence (AI) and machine learning (ML), are further propelling the market growth. Modern LMS platforms offer features such as personalized learning paths, real-time analytics, and automated compliance tracking, which enhance the effectiveness and efficiency of compliance training programs. These advanced capabilities are attracting a wide array of organizations to adopt Ethics and Compliance LMS solutions.

Regionally, North America holds the largest market share due to stringent regulatory frameworks and a high level of awareness about corporate governance. Europe follows closely, driven by strict compliance norms such as the General Data Protection Regulation (GDPR). The Asia Pacific region is expected to witness significant growth during the forecast period, attributed to increasing industrialization and the rising emphasis on ethical business practices in emerging economies.

Component Analysis

The Ethics and Compliance LMS market can be segmented by component into software and services. The software segment includes standalone LMS platforms and integrated solutions that offer a comprehensive suite of compliance training tools. The services segment encompasses consulting, implementation, training, and support services that ensure the effective deployment and use of LMS platforms.

The software segment is expected to dominate the market due to the rising demand for automated and scalable compliance training solutions. Organizations are increasingly investing in dedicated LMS software to streamline their compliance training processes. These platforms offer various features such as customizable course content, progress tracking, and reporting, making them an attractive option for businesses of all sizes.

Services, on the other hand, play a crucial role in the successful implementation and ongoing maintenance of LMS platforms. Consulting services help organizations assess their compliance training needs and develop a tailored LMS strategy. Implementation services ensure that the LMS is seamlessly integrated with existing systems and workflows. Training services provide users with the necessary skills to leverage the LMS effectively, while support services address any technical issues that may arise.

The convergence of software and services in the Ethics and Compliance LMS market creates a holistic approach to compliance training. While software solutions provide the tools needed to deliver and manage training programs, services ensure that these tools are utilized to their full potential. This integrated approach is driving the overall growth of the market, as organizations seek comprehensive solutions to meet their compliance training needs.

Report Scope

The HTML publication is available at https://nfdi4culture.de/id/E3885.

This document aims to explain the legal framework for video uploads to publicly accessible video portals covering video recordings with scientific content. For the detailed data protection section, you will find a flowchart on data protection for video uploads here for your orientation: https://zenodo.org/record/7602967

The Artificial Intelligence (AI) Governance market is experiencing explosive growth, projected to reach $203.74 million in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 55.16%. This rapid expansion is fueled by several key drivers. Increasing concerns surrounding AI bias, data privacy regulations like GDPR and CCPA, and the need for ethical AI development are compelling organizations across various sectors to invest heavily in robust governance frameworks. The rise of sophisticated AI technologies and their increasing integration into critical business processes further necessitates effective governance to mitigate risks and ensure responsible AI deployment. Key industry segments driving this growth include government and defense, healthcare and life sciences, BFSI (Banking, Financial Services, and Insurance), and retail, each seeking to manage the complexities of AI implementation and compliance. The solution component currently holds a significant market share, but the services segment is expected to experience substantial growth as organizations increasingly outsource AI governance tasks to specialized firms. North America currently dominates the market, followed by Europe and APAC, reflecting the early adoption of AI technologies and stringent regulatory landscapes in these regions. The competitive landscape is characterized by a mix of established technology giants like Microsoft, IBM, and Salesforce, and specialized AI governance vendors like Dataiku and Ataccama. These companies are employing various competitive strategies, including strategic partnerships, acquisitions, and product innovation, to gain market share. However, the market also faces certain restraints, primarily the high cost of implementing comprehensive AI governance solutions and the lack of skilled professionals capable of managing AI risks effectively. Future growth will depend on overcoming these challenges through the development of more affordable and accessible solutions and initiatives to build a robust talent pipeline. The forecast period (2025-2033) anticipates sustained high growth, driven by continued technological advancements, evolving regulatory standards, and increasing awareness of the importance of ethical and responsible AI.

According to a January 2021 survey of adults worldwide, 66 percent of total respondents agreed on feeling that tech companies hold too much control over their personal data, while only six percent expressed disagreement with the statement. Consumers based in Spain, the United Kingdom, and the United States reported higher levels of concern over data control, with more than seven in ten people feeling that tech companies have too much control over their personal information. While surveyed consumers in Sweden, China, and Indonesia appeared to agree the least with the statement, still more than five in ten reported feeling that tech companies have too much control over their data.

Questionable ethics and security breaches put tech companies under scrutiny

Tech giants, and big tech in particular have been under focus in recent years when it comes to data privacy and consumer-related ethics. While Google has been recipient of not one, but a number of antitrust fines from the EU dating back to 2017, tech giant Yahoo fell victim to various data breaches that resulted in the exposure of 3 billion consumer records in total to date.

User skepticism is growing

No wonder public trust has faltered. The rise of ad-blockers, VPNs and privacy search engines show that consumers are more eager than ever to protect their data online. In the United States, alternative search engine DuckDuckGo saw a surge in popularity from April 2020 - around the start of the COVID-19 pandemic. Meanwhile, over half of those surveyed in the UK said that the public exposure of recent data breaches had impacted their willingness to share personal information. The global pandemic has also hit the tech industry, with companies in the tourism sector taking the biggest blow. Booking.com laid off the highest number of employees during 2020, a total of 4375 members of staff.

The AI Governance market is experiencing explosive growth, projected to reach $264.18 million in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 28.80%. This rapid expansion is driven by increasing concerns surrounding algorithmic bias, data privacy regulations (like GDPR and CCPA), and the need for ethical and transparent AI deployment across diverse sectors. The market's segmentation reflects this broad applicability, encompassing solutions and services deployed on-premise or in the cloud, and catering to various end-user verticals. Healthcare, government and defense, and the financial services industry (BFSI) are leading adopters, driven by the critical need for responsible AI in sensitive data handling and decision-making processes. The automotive and retail sectors are also showing strong growth as they leverage AI for improved efficiency and customer experience, but with a growing need for governance frameworks to mitigate risks. The presence of major tech players like IBM, Google, Microsoft, and Salesforce, alongside specialized AI governance companies like FICO and Pymetrics, indicates a highly competitive yet dynamic landscape ripe for innovation. The market's growth trajectory suggests a significant expansion in the forecast period (2025-2033). Factors influencing this growth include the increasing complexity of AI systems, escalating regulatory scrutiny, and a growing awareness among businesses of the reputational and financial risks associated with unethical or poorly governed AI. North America currently holds a significant market share, but regions like Asia and Europe are expected to witness substantial growth, driven by rapid technological adoption and increasing regulatory pressure. The continued development of robust AI governance frameworks, coupled with the rising demand for AI auditing and explainability tools, will be key catalysts in shaping the market's future. This market will likely see increased consolidation as larger players acquire specialized firms to bolster their offerings and further solidify their presence in the rapidly evolving landscape. Recent developments include: September 2024: Meta has entered into a two-year collaboration with the Government of Telangana's Department of Information Technology, Electronics and Communications (ITE&C). This partnership aims to equip public officials and citizens with advanced technologies, including AI, to bolster e-governance and improve citizen services.March 2024: SAP and Collibra have strengthened their partnership to meet AI governance demands. SAP Datasphere and Collibra provide a business data fabric architecture that governs SAP and non-SAP data, ensuring trusted data access for all users. The surge in AI innovation underscores the importance of reliable data.. Key drivers for this market are: Growing Demand for Transparency in AI Decision Making, Expanding Government Initiatives to Leverage the AI Technology. Potential restraints include: Growing Demand for Transparency in AI Decision Making, Expanding Government Initiatives to Leverage the AI Technology. Notable trends are: The Retail Sector is Expected to Witness Significant Growth.

The AI governance market is experiencing robust growth, projected to reach $30 million in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 25.1%. This expansion is fueled by several key drivers. Increasing concerns about algorithmic bias, data privacy regulations (like GDPR and CCPA), and the ethical implications of increasingly autonomous AI systems are pushing organizations to prioritize responsible AI development and deployment. The need for transparency, accountability, and explainability in AI decision-making is further accelerating market demand. Leading technology companies like IBM, Google, Microsoft, and Salesforce, along with specialized AI governance vendors like FICO and SAS Institute, are actively developing and deploying solutions to address these concerns. The market is segmented by various factors, including deployment model (cloud, on-premises), application (risk management, compliance, audit), and industry vertical (finance, healthcare, retail). While specific segment breakdowns are unavailable, the broad market growth indicates strong demand across all segments. The substantial investment in research and development by major players and the growing awareness of the potential risks associated with unregulated AI will continue to drive market growth throughout the forecast period (2025-2033). Looking ahead, several trends will shape the future of the AI governance market. The increasing complexity of AI models and their integration into critical business processes will necessitate more sophisticated governance frameworks. The rise of federated learning and other distributed AI approaches will require new governance mechanisms to ensure data privacy and security. Furthermore, the development of standardized AI governance frameworks and best practices, possibly led by regulatory bodies, will further streamline the adoption of AI governance solutions. However, challenges remain, including the high cost of implementing AI governance solutions and a general lack of awareness and understanding among some organizations regarding the importance of responsible AI. Overcoming these restraints will be crucial for achieving widespread adoption and unlocking the full potential of the AI governance market.

The aim of this survey was to chart how the universities in Finland have organised the depositing of digital research data and to what extent the data are reused by the scientific community after the original research has been completed. The respondents were professors of human sciences, social sciences and behavioural sciences in Finnish universities, and representatives of some research institutes. Opinions were also queried on the OECD guidelines and principles on open access to research data from public funding. First, the respondents were asked whether there were any guidelines or regulations concerning the depositing of digital research data in their departments, what happened to research data after the completion of the original research, and to what extent the data were reused. Further questions covered how often the data from completed research projects were reused in secondary research projects or for theses. The respondents also estimated what proportion of the data collected in their departments/institutes were reusable at the time of the survey, and why research data were not being reused in their own field of research. Views were also investigated on whether confidentiality or research ethics issues, or problems related to copyright or information technology formed barriers to data reuse. Opinions on the OECD Open Access guidelines on research data were queried. The respondents were asked whether they had earlier knowledge of the guidelines, and to what extent its principles could be implemented in their own disciplines. Some questions pertained to the advantages and disadvantages of open access to research data. The advantages mentioned included reducing duplicate data collection and more effective use of data resources, whereas the disadvantages mentioned included, for example, risks connected to data protection and misuse of data. The respondents also suggested ways of implementing the Open Access guidelines and gave their opinions on how binding the recommendations should be, to what extent various bodies should be involved in formulating the guidelines, and how the archiving and dissemination of digital research data should be organised. Finally, the respondents estimated how the researchers in their field would react to enhancing open access to research data, and also gave their opinion on open access to the data they themselves have collected. Background variables included the respondent's gender, university, and research field.

The global ethics hotline market is experiencing robust growth, driven by increasing regulatory scrutiny, heightened corporate social responsibility (CSR) initiatives, and a growing awareness of the importance of ethical conduct within organizations. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth trajectory is fueled by several key factors. Firstly, the rising prevalence of workplace misconduct, including harassment, discrimination, and fraud, necessitates effective reporting mechanisms like ethics hotlines. Secondly, stringent government regulations and penalties for non-compliance are pushing companies to adopt robust ethics programs that include easily accessible and confidential reporting channels. Thirdly, advancements in technology, such as AI-powered platforms and multilingual support, are enhancing the efficiency and accessibility of ethics hotlines, making them more appealing to diverse workforces and global organizations. The market is segmented by communication type (phone, IVR, web, email, others) and organizational size (SMEs, large enterprises), with large enterprises currently driving the majority of adoption due to their greater resources and higher risk profiles. However, the SME segment is projected to exhibit faster growth in the coming years as awareness of ethical risks and compliance obligations increases. Geographic distribution is broad, with North America, Europe, and Asia-Pacific representing the major markets. The continued expansion of the ethics hotline market is further supported by the increasing adoption of cloud-based solutions, which offer scalability, cost-effectiveness, and enhanced data analytics capabilities. These analytics enable organizations to identify trends in reported misconduct, allowing for proactive measures to prevent future occurrences. While data privacy and security concerns remain a challenge, technological advancements and robust security measures are mitigating these risks. The growth of the market will also be influenced by factors such as the evolving nature of workplace misconduct, the expansion of global business operations, and the increasing focus on ESG (environmental, social, and governance) investing. The competitive landscape is dynamic, featuring established players alongside emerging technology providers vying for market share.

Blockchain has empowered computer systems to be more secure using a distributed network. However, the current blockchain design suffers from fairness issues in transaction ordering. Miners are able to reorder transactions to generate profits, the so-called miner extractable value (MEV). Existing research recognizes MEV as a severe security issue and proposes potential solutions, including prominent Flashbots. However, previous studies have mostly analyzed blockchain data, which might not capture the impacts of MEV in a much broader AI society. Thus, in this research, we applied natural language processing (NLP) methods to comprehensively analyze topics in tweets on MEV. We collected more than 20000 tweets with #MEV and #Flashbots hashtags and analyzed their topics. Our results show that the tweets discussed profound topics of ethical concern, including security, equity, emotional sentiments, and the desire for solutions to MEV. We also identify the co-movements of MEV activities on blockchain and social media platforms. Our study contributes to the literature at the interface of blockchain security, MEV solutions, and AI ethics.

As of 2023, about half of the surveyed companies claim to take the steps of explaining how the artificial intelligence (AI) works, ensuring a human is involved in the process, and instituting an AI ethics management program to guarantee transparency and data security.

Characteristics of donor interviewees and interviews.