Results for 'data ethics'

967 found
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  1.  27
    Mapping data ethics curricula.Jonathan Reeve, Isabelle Zaugg & Tian Zheng - 2022 - Journal of Information, Communication and Ethics in Society 20 (3):388-399.
    Purpose As data-driven tools increasingly shape our life and tech ethics crises become strikingly frequent, data ethics coursework is urgently needed. The purpose of this study is to map the field of data ethics curricula, tracking relations between courses, instructors, texts and writers, and present a proof-of-concept interactive website for exploring these relations. This method is designed to be used in curricular research and development and provides multiple vantage points on this multidisciplinary field. Design/methodology/approach (...)
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  2. What is data ethics?Luciano Floridi & Mariarosaria Taddeo - 2016 - Philosophical Transactions of the Royal Society A 374 (2083):20160360.
    This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data Ethics builds on the (...)
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  3. Reframing data ethics in research methods education: a pathway to critical data literacy.Javiera Atenas, Leo Havemann & Cristian Timmermann - 2023 - International Journal of Educational Technology in Higher Education 20:11.
    This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research methods syllabi from across the disciplines, as well as 80 syllabi from data science programmes to understand how or if data ethics was (...)
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  4. Big Data ethics.Andrej Zwitter - 2014 - Big Data and Society 1 (2).
    The speed of development in Big Data and associated phenomena, such as social media, has surpassed the capacity of the average consumer to understand his or her actions and their knock-on effects. We are moving towards changes in how ethics has to be perceived: away from individual decisions with specific and knowable outcomes, towards actions by many unaware that they may have taken actions with unintended consequences for anyone. Responses will require a rethinking of ethical choices, the lack (...)
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  5.  33
    Business Data Ethics: Emerging Models for Governing AI and Advanced Analytics.Dennis Hirsch, Timothy Bartley, Aravind Chandrasekaran, Davon Norris, Srinivasan Parthasarathy & Piers Norris Turner - 2023 - Springer.
    This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. -/- The (...)
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  6. Own Data? Ethical Reflections on Data Ownership.Patrik Hummel, Matthias Braun & Peter Dabrock - 2020 - Philosophy and Technology 34 (3):545-572.
    In discourses on digitization and the data economy, it is often claimed that data subjects shall beownersof their data. In this paper, we provide a problem diagnosis for such calls fordata ownership: a large variety of demands are discussed under this heading. It thus becomes challenging to specify what—if anything—unites them. We identify four conceptual dimensions of calls for data ownership and argue that these help to systematize and to compare different positions. In view of this (...)
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  7. Introduction to Data Ethics.James Brusseau - 2018 - In Introduction to Data Ethics. Boston, USA: Boston Academic Publishing / Flatworld Knowledge. pp. 349-376.
    An Introduction to data ethics, focusing on questions of privacy and personal identity in the economic world as it is defined by big data technologies, artificial intelligence, and algorithmic capitalism. -/- Originally published in The Business Ethics Workshop, 3rd Edition, by Boston Acacdemic Publishing / FlatWorld Knowledge.
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  8.  20
    From Data Ethics to Data Justice in/as Pedagogy.Andrea Zeffiro - 2021 - Studies in Social Justice 15 (3):450-457.
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  9.  86
    Omitting Data—Ethical or Strategic Problem?Jaakko Hintikka - 2005 - Synthese 145 (2):169-176.
    Omitting experimental data is often considered a violation of scientific integrity. If we consider experimental inquiry as a questioning process, omitting data is seen to be merely an example of tentatively rejecting (‘bracketing’) some of nature’s answers. Such bracketing is not only occasionally permissible; sometimes it is mandated by optimal interrogative strategies. When to omit data is therefore a strategic rather than ethical question. These points are illustrated by reference to Millikan’s oil drop experiment.
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  10.  28
    Data Ethics Decision Aid (DEDA): a dialogical framework for ethical inquiry of AI and data projects in the Netherlands. [REVIEW]Aline Shakti Franzke, Iris Muis & Mirko Tobias Schäfer - 2021 - Ethics and Information Technology 23 (3):551-567.
    This contribution discusses the development of the Data Ethics Decision Aid (DEDA), a framework for reviewing government data projects that considers their social impact, the embedded values and the government’s responsibilities in times of data-driven public management. Drawing from distinct qualitative research approaches, the DEDA framework was developed in an iterative process (2016–2018) and has since then been applied by various Dutch municipalities, the Association of Dutch Municipalities, and the Ministry of General Affairs (NL). We present (...)
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  11.  31
    Data Ethics in Catholic Health Systems.Rachelle Barina, Becket Gremmels, Michael Miller, Nicholas Kockler, Mark Repenshek & Christopher Ostertag - 2022 - The National Catholic Bioethics Quarterly 22 (2):289-317.
    The Catholic moral tradition has a rich foundation that applies broadly to encompass all areas of human experience. Yet, there is comparatively little in Catholic thought on the ethics of the collection and use of data, especially in healthcare. We provide here a brief overview of terminology, concepts, and applications of data in the context of healthcare, summarize relevant theological principles and themes (including the Vatican’s Rome Call for AI Ethics), and offer key questions for ethicists (...)
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  12. Data ethics trends for human subjects protections in the era of the AI Bill of Rights.Robin Throne - 2025 - In IRB, human research protections, and data ethics for researchers. Hershey, PA: IGI Global.
     
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  13.  61
    Big Data: Ethical Considerations.G. Owen Schaefer, Markus K. Labude & Harisan Unais Nasir - 2018 - In David Boonin, Palgrave Handbook of Philosophy and Public Policy. Cham: Palgrave Macmillan. pp. 593-607.
    We live in the Information Age. Advances over the past 50 years in computing technology have enabled ever-expanding capacity to generate, store, transfer, process and analyse information about people, societies, products, services, the environment—nearly every aspect of the world. In parallel, concerns over how such data is being used have emerged, focusing especially on issues of privacy and confidentiality. Yet as technological capabilities continue to expand, the debate over ethical uses of data inevitably has evolved as well. Whereas (...)
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  14.  21
    Developing an Online Data Ethics Module Informed by an Ecology of Data Perspective.Xiaofeng Tang, Eduardo Mendieta & Thomas A. Litzinger - 2022 - Science and Engineering Ethics 28 (2):1-22.
    A self-perceived lack of training in ethical theories and related pedagogy has kept many engineering faculty members from teaching data ethics, an important aspect of engineering research that has become more salient in recent years. This paper describes the development of a module, which includes concepts, cases, policies, and best practices, to support the teaching of ethical data practice. Based on a user-oriented design approach and a moral literacy framework, the module was designed to be used in (...)
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  15.  26
    Strategies for Data Ethics Governance: Elevating Patient and Community Perspectives.Austin M. Stroud, Journey L. Wise, Susan H. Curtis & Michelle L. McGowan - 2023 - American Journal of Bioethics 23 (11):48-50.
    McCoy and colleagues (2023) offer a reflective framework for data ethics and governance with several historical bioethics principles as a foundation. Their framework is one among a plethora of othe...
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  16. The ethical imperatives of the COVID 19 pandemic: a review from data ethics.Gabriela Arriagada Bruneau, Vincent C. Müller & Mark S. Gilthorpe - 2020 - Veritas: Revista de Filosofía y Teología 46:13-35.
    In this review, we present some ethical imperatives observed in this pandemic from a data ethics perspective. Our exposition connects recurrent ethical problems in the discipline, such as, privacy, surveillance, transparency, accountability, and trust, to broader societal concerns about equality, discrimination, and justice. We acknowledge data ethics role as significant to develop technological, inclusive, and pluralist societies. - - - Resumen: En esta revisión, exponemos algunos de los imperativos éticos observados desde la ética de datos en (...)
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  17.  8
    Data ethics and digital sustainability: Bridging legal data protection compliance and ESG for a responsible data-driven future.Prof Dr Paolo Balboni & Kate Elizabeth Francis - forthcoming - Journal of Responsible Technology.
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  18.  37
    Data Ethics in Digital Health and Genomics.Muhammed Erkan Karabekmez - 2021 - The New Bioethics 27 (4):320-333.
    The digital revolution has disruptively reshaped the way health services are provided and how research is conducted. This transformation has produced novel ethical challenges. The digitalization of...
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  19. Data Ethics.Aaro Tupasela - 2022 - In Ezio Di Nucci, Ji-Young Lee & Isaac A. Wagner, The Rowman & Littlefield Handbook of Bioethics. Lanham: Rowman & Littlefield Publishers.
     
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  20.  28
    Ethics When You Least Expect It”: A Modular Approach to Short Course Data Ethics Instruction.Louise Bezuidenhout, Robert Quick & Hugh Shanahan - 2020 - Science and Engineering Ethics 26 (4):2189-2213.
    Data science skills are rapidly becoming a necessity in modern science. In response to this need, institutions and organizations around the world are developing research data science curricula to teach the programming and computational skills that are needed to build and maintain data infrastructures and maximize the use of available data. To date, however, few of these courses have included an explicit ethics component, and developing such components can be challenging. This paper describes a novel (...)
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  21.  44
    The latent space of data ethics.Enrico Panai - 2024 - AI and Society 39 (6):2647-2665.
    In informationally mature societies, almost all organisations record, generate, process, use, share and disseminate data. In particular, the rise of AI and autonomous systems has corresponded to an improvement in computational power and in solving complex problems. However, the resulting possibilities have been coupled with an upsurge of ethical risks. To avoid the misuse, underuse, and harmful use of data and data-based systems like AI, we should use an ethical framework appropriate to the object of its reasoning. (...)
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  22. IRB, human research protections, and data ethics for researchers.Robin Throne (ed.) - 2025 - Hershey, PA: IGI Global.
    This book offers guidance and the current scholarship surrounding institutional review boards policies and procedures, human research protections for researchers and principal investigators, data privacy, data ethics, and other areas of interest related to human subjects research.
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  23.  14
    A contextual integrity approach to genomic information: what bioethics can learn from big data ethics.Nina F. de Groot - 2024 - Medicine, Health Care and Philosophy 27 (3):367-379.
    Genomic data is generated, processed and analysed at an increasingly rapid pace. This data is not limited to the medical context, but plays an important role in other contexts in society, such as commercial DNA testing, the forensic setting, archaeological research, and genetic surveillance. Genomic information also crosses the borders of these domains, e.g. forensic use of medical genetic information, insurance use of medical genomic information, or research use of commercial genomic data. This paper (1) argues that (...)
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  24.  16
    Review of Data Ethics, C. Stückelberger / P. Duggal. [REVIEW]Erin Green & Ignace Haaz - 2023 - Journal of Ethics in Higher Education 2:131-143.
    This review is based on an expanded version of the session outcome document we prepared for WSIS. The outcome was providing a summary of the session: Data Ethics and the Ethics of Digital and Emerging Technologies – Building Trust, Serving Humanity – Globethics, which was held a few days earlier from 16:00 to 16:45, Monday, 13 March 2023 at the Geneva International Conference Center, under the auspices of the ITU.
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  25. “Who Should I Trust with My Data?” Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies.Haleh Asgarinia, Andrés Chomczyk Penedo, Beatriz Esteves & Dave Lewis - 2023 - Information (Switzerland) 14 (7):1-17.
    News about personal data breaches or data abusive practices, such as Cambridge Analytica, has questioned the trustworthiness of certain actors in the control of personal data. Innovations in the field of personal information management systems to address this issue have regained traction in recent years, also coinciding with the emergence of new decentralized technologies. However, only with ethically and legally responsible developments will the mistakes of the past be avoided. This contribution explores how current data management (...)
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  26. (1 other version)10 Interpreting scientific data ethically.Griffin Trotter - forthcoming - Research Ethics.
     
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  27.  27
    Biological and health data: ethical issues.Nuffield Council - 2016 - Jahrbuch für Wissenschaft Und Ethik 20 (1):277-288.
    Name der Zeitschrift: Jahrbuch für Wissenschaft und Ethik Jahrgang: 20 Heft: 1 Seiten: 277-288.
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  28.  19
    Introduction to the Special Theme: The expansion of the health data ecosystem – Rethinking data ethics and governance.Federica Lucivero & Tamar Sharon - 2019 - Big Data and Society 6 (2).
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  29. The ethics of big data: current and foreseeable issues in biomedical contexts.Brent Daniel Mittelstadt & Luciano Floridi - 2016 - Science and Engineering Ethics 22 (2):303–341.
    The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of (...)
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  30.  25
    Trusting the Government to Do the Right Thing: Data Ethics in Australia’s Pandemic Response.Sally Dalton-Brown - 2023 - Cambridge Quarterly of Healthcare Ethics 32 (2):222-230.
    After a brief overview of ethical issues in an Australian context catalyzed by the current pandemic, this article focuses on data protection in the light of recent debates about COVID-19 data tracking in Australia and globally. This article looks at the issue of trust as a fundamental principle of effective and ethical COVID-safe measures undertaken by the government. Key to ensuring such trust are Habermasian participatory dialogs, which assume trust as a condition of authentic illocution, and an emphasis (...)
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  31.  16
    Ethical approval: none sought. How discourse analysts report ethical issues around publicly available online data.Wyke Stommel & Lynn de Rijk - 2021 - Research Ethics 17 (3):275-297.
    Although ethical guidelines for doing Internet research are available, most prominently those of the Association of Internet Researchers ( www.aoir.org ), ethical decision-making for research on publicly available, naturally-occurring data remains a major challenge. As researchers might also turn to others to inform their decisions, this article reviews recent research papers on publicly available, online data. Research involving forums such as Facebook pages, Twitter, YouTube, news comments, blogs, etc. is examined to see how authors report ethical considerations and (...)
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  32. The ethics of algorithms: mapping the debate.Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter & Luciano Floridi - 2016 - Big Data and Society 3 (2):2053951716679679.
    In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe (...)
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  33.  23
    Ethical Considerations in Research with Genomic Data.Rachel Horton & Anneke Lucassen - 2022 - The New Bioethics 29 (1):37-51.
    Our ability to generate genomic data is currently well ahead of our ability to understand what they mean, raising challenges about how best to engage with them. This article considers ethical aspects of work with such data, focussing on research contexts that are intertwined with clinical care. We discuss the identifying nature of genomic data, the medical information intrinsic within them, and their linking of people within a biological family. We go on to consider what this means (...)
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  34.  47
    Ethical Issues in Consent for the Reuse of Data in Health Data Platforms.Alex McKeown, Miranda Mourby, Paul Harrison, Sophie Walker, Mark Sheehan & Ilina Singh - 2021 - Science and Engineering Ethics 27 (1):1-21.
    Data platforms represent a new paradigm for carrying out health research. In the platform model, datasets are pooled for remote access and analysis, so novel insights for developing better stratified and/or personalised medicine approaches can be derived from their integration. If the integration of diverse datasets enables development of more accurate risk indicators, prognostic factors, or better treatments and interventions, this obviates the need for the sharing and reuse of data; and a platform-based approach is an appropriate model (...)
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  35. Clinical Ethics Committee in an Oncological Research Hospital: two-years Report.Marta Perin, Ludovica De Panfilis & on Behalf of the Clinical Ethics Committee of the Azienda Usl-Irccs di Reggio Emilia - 2023 - Nursing Ethics 30 (7-8):1217-1231.
    Research question and aim Clinical Ethics Committees (CECs) aim to support healthcare professionals (HPs) and healthcare organizations to deal with the ethical issues of clinical practice. In 2020, a CEC was established in an Oncology Research Hospital in the North of Italy. This paper describes the development process and the activities performed 20 months from the CEC’s implementation, to increase knowledge about CEC’s implementation strategy. Research design We collected quantitative data related to number and characteristics of CEC activities (...)
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  36.  26
    Hidden Ethical Challenges in Health Data Infrastructure.Nicole Contaxis - 2024 - Hastings Center Report 54 (1):15-19.
    Data infrastructure includes the bureaucratic, technical, and social mechanisms that assist in actions like data management, analysis, storage, and sharing. While issues like data sharing have been addressed in depth in bioethical literature, data infrastructure presents its own ethical considerations, apart from the actions (such as data sharing and data analysis) that it enables. This essay outlines some of these considerations—namely, the ethics of efficiency, the visibility of infrastructure, the power of standards, and (...)
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  37. Data Hazards as An Ethical Toolkit for Neuroscience.Susana Román García, Ceilidh Welsh, Nina H. Di Cara, David C. Sterratt, Nicola Romanò & Melanie I. Stefan - 2025 - Neuroethics 18 (1):1-21.
    The Data Hazards framework (Zelenka, Di Cara, & Contributors, 2024) is intended to encourage thinking about the ethical implications of data science projects. It takes the form of community-designed data hazard labels, similar to warning labels on chemicals, that can encourage reflection and discussion on what ethical risks are associated with a project and how they can be mitigated. In this article, we explain how the Data Hazards framework can apply to neuroscience. We demonstrate how the (...)
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  38.  60
    Big Data and Public-Private Partnerships in Healthcare and Research: The Application of an Ethics Framework for Big Data in Health and Research.Angela Ballantyne & Cameron Stewart - 2019 - Asian Bioethics Review 11 (3):315-326.
    Public-private partnerships are established to specifically harness the potential of Big Data in healthcare and can include partners working across the data chain—producing health data, analysing data, using research results or creating value from data. This domain paper will illustrate the challenges that arise when partners from the public and private sector collaborate to share, analyse and use biomedical Big Data. We discuss three specific challenges for PPPs: working within the social licence, public antipathy (...)
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  39.  86
    Indigenous Data Sovereignty: A Catalyst for Ethical AI in Business.Vishal Rana - 2025 - Business and Society 64 (4):635-640.
    In the age of rapid AI advancement, digital colonialism poses a significant threat to Indigenous communities, perpetuating inequalities and exploiting their data. This commentary delves into the concept of Indigenous data sovereignty as a powerful framework for resisting digital colonialism and promoting ethical AI development.
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  40.  10
    Smart mouthguards and contact sport: the data ethics dilemma.Richard B. Gibson & Anna Nelson - forthcoming - Journal of Medical Ethics.
    The use of smart mouthguards in contact sports like rugby aims to enhance player safety by providing real-time data on head impacts. These devices, equipped with sensors, measure collision force and frequency, potentially identifying concussions that might go unnoticed during gameplay. The idea is that such enhanced monitoring will enable teams, physicians and other stakeholders to better protect players from the effects of on-pitch injury through immediate detection of head trauma and the long-term provision of player data. While (...)
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  41.  95
    Using Ethical Reasoning to Amplify the Reach and Resonance of Professional Codes of Conduct in Training Big Data Scientists.Rochelle E. Tractenberg, Andrew J. Russell, Gregory J. Morgan, Kevin T. FitzGerald, Jeff Collmann, Lee Vinsel, Michael Steinmann & Lisa M. Dolling - 2015 - Science and Engineering Ethics 21 (6):1485-1507.
    The use of Big Data—however the term is defined—involves a wide array of issues and stakeholders, thereby increasing numbers of complex decisions around issues including data acquisition, use, and sharing. Big Data is becoming a significant component of practice in an ever-increasing range of disciplines; however, since it is not a coherent “discipline” itself, specific codes of conduct for Big Data users and researchers do not exist. While many institutions have created, or will create, training opportunities (...)
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  42.  65
    Managing ethics in business organizations: social scientific perspectives.Linda Klebe Treviño - 2003 - Stanford, Calif.: Stanford Business Books. Edited by Gary R. Weaver.
    This book broadens the range of theoretically informed empirical research on business ethics (using data from major American corporations) and addresses the underlying questions about business ethics scholarship. It culminates a decade’s work by the authors—individually, jointly, and with others. The first part of the book addresses the major theoretical questions involved in doing empirical research about normative issues. It addresses the boundaries—methodological, conceptual, and institutional—that too easily separate philosophical and social scientific approaches to business ethics (...)
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  43.  27
    Modeling Ethics: Approaches to Data Creep in Higher Education.Madisson Whitman - 2021 - Science and Engineering Ethics 27 (6):1-18.
    Though rapid collection of big data is ubiquitous across domains, from industry settings to academic contexts, the ethics of big data collection and research are contested. A nexus of data ethics issues is the concept of creep, or repurposing of data for other applications or research beyond the conditions of original collection. Data creep has proven controversial and has prompted concerns about the scope of ethical oversight. Institutional review boards offer little guidance regarding (...)
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  44.  99
    Ethics, CSR, and Sustainability Education in the Financial Times Top 50 Global Business Schools: Baseline Data and Future Research Directions.Lisa Jones Christensen, Ellen Peirce, Laura P. Hartman, W. Michael Hoffman & Jamie Carrier - 2007 - Journal of Business Ethics 73 (4):347-368.
    This paper investigates how deans and directors at the top 50 global MBA programs (as rated by the "Financial Times" in their 2006 Global MBA rankings) respond to questions about the inclusion and coverage of the topics of ethics, corporate social responsibility, and sustainability at their respective institutions. This work purposely investigates each of the three topics separately. Our findings reveal that: (1) a majority of the schools require that one or more of these topics be covered in their (...)
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  45.  53
    Business Ethics and Quantification: Towards an Ethics of Numbers.Gazi Islam - 2021 - Journal of Business Ethics 176 (2):195-211.
    Social practices of quantification, or the production and communication of numbers, have been recognized as important foundations of organizational knowledge, as well as sources of power. With the advent of increasingly sophisticated digital tools to capture and extract numerical data from social life, however, there is a pressing need to understand the ethical stakes of quantification. The current study examines quantification from an ethical lens, to frame and promote a research agenda around the ethics of quantification. After a (...)
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  46.  32
    What ethical approaches are used by scientists when sharing health data? An interview study.Deborah Mascalzoni, Heidi Beate Bentzen & Jennifer Viberg Johansson - 2022 - BMC Medical Ethics 23 (1):1-12.
    BackgroundHealth data-driven activities have become central in diverse fields (research, AI development, wearables, etc.), and new ethical challenges have arisen with regards to privacy, integrity, and appropriateness of use. To ensure the protection of individuals’ fundamental rights and freedoms in a changing environment, including their right to the protection of personal data, we aim to identify the ethical approaches adopted by scientists during intensive data exploitation when collecting, using, or sharing peoples’ health data.MethodsTwelve scientists who were (...)
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  47.  51
    The ethics of medical data donation.Jenny Krutzinna & Luciano Floridi (eds.) - 2019 - Springer International Publishing.
    This open access book presents an ethical approach to utilizing personal medical data. It features essays that combine academic argument with practical application of ethical principles. The contributors are experts in ethics and law. They address the challenges in the re-use of medical data of the deceased on a voluntary basis. This pioneering study looks at the many factors involved when individuals and organizations wish to share information for research, policy-making, and humanitarian purposes. -/- Today, it is (...)
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  48. AI ethics should not remain toothless! A call to bring back the teeth of ethics.Rowena Rodrigues & Anaïs Rességuier - 2020 - Big Data and Society 7 (2).
    Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. (...)
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  49.  16
    Stellungnahme zur Etablierung der sekundären Forschungsnutzung von Behandlungsdaten in Deutschland. Ergebnisse des Verbundprojekts LinCDat: "Learning from Clinical Data. Ethical, Social and Legal Aspects".Martin Jungkunz, Anja Köngeter, Markus Spitz, Katja Mehlis, Kai Cornelius, Christoph Schickhardt & Eva C. Winkler - 2022 - Forum Marsilius Kolleg.
    Die sekundäre Forschungsnutzung von Behandlungsdaten hat großes Potenzial, biomedizinisches Wissen zu erweitern und die Patientenversorgung zu verbessern. Gleichzeitig sind für eine bessere Ausschöpfung dieses Potenzials diverse Herausforderungen zu bewältigen. Dies gilt insbesondere in Deutschland, wo im Vergleich zu anderen Ländern, wie z.B. Dänemark oder Finnland, die sekundäre Forschungsnutzung von Behandlungsdaten unterentwickelt ist. Die Intensivierung der Nutzung der Daten aus Diagnose und Therapie von Patienten und die Entwicklung der dafür notwendigen Strukturen in Deutschland ist ethisch und politisch geboten: für die Verbesserung (...)
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  50.  13
    Big data and ethics: the medical datasphere.Jérôme Béranger - 2016 - Kidlington, Oxford, UK: Elsevier.
    Faced with the exponential development of Big Data and both its legal and economic repercussions, we are still slightly in the dark concerning the use of digital information. In the perpetual balance between confidentiality and transparency, this data will lead us to call into question how we understand certain paradigms, such as the Hippocratic Oath in medicine. As a consequence, a reflection on the study of the risks associated with the ethical issues surrounding the design and manipulation of (...)
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