January 17, 2021

Download Ebook Free Responsible Genomic Data Sharing

Responsible Genomic Data Sharing

Responsible Genomic Data Sharing
Author : Xiaoqian Jiang,Haixu Tang
Publisher : Academic Press
Release Date : 2020-03-14
Category : Science
Total pages :210
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Responsible Genomic Data Sharing: Challenges and Approaches brings together international experts in genomics research, bioinformatics and digital security who analyze common challenges in genomic data sharing, privacy preserving technologies, and best practices for large-scale genomic data sharing. Practical case studies, including the Global Alliance for Genomics and Health, the Beacon Network, and the Matchmaker Exchange, are discussed in-depth, illuminating pathways forward for new genomic data sharing efforts across research and clinical practice, industry and academia. Addresses privacy preserving technologies and how they can be applied to enable responsible genomic data sharing Employs illustrative case studies and analyzes emerging genomic data sharing efforts, common challenges and lessons learned Features chapter contributions from international experts in responsible approaches to genomic data sharing

Genomic and Precision Medicine

Genomic and Precision Medicine
Author : Geoffrey S. Ginsburg,Huntington F Willard
Publisher : Academic Press
Release Date : 2016-11-22
Category : Science
Total pages :398
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Genomic and Precision Medicine: Translation and Implementation highlights the various points along the continuum from health to disease where genomic information is impacting clinical decision-making and leading to more personalization of health care. The book pinpoints the challenges, barriers, and solutions that have been, or are being, brought forward to enable translation of genome based technologies into health care. A variety of infrastructure (data systems and EMRs), policy (regulatory, reimbursement, privacy), and research (comparative effectiveness research, learning health system approaches) strategies are also discussed. Readers will find this volume to be an invaluable resource for the translational genomics and implementation science that is required to fully realize personalized health care. Provides a comprehensive volume on the translation and implementation of biology into health care provision Presents succinct commentary and key learning points that will assist readers with their local needs for translation and implementation Includes an up-to-date overview on major ‘translational events’ in genomic and personalized medicine, along with lessons learned

Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2

Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2
Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Life Sciences,Health and Medicine Division,Board on Health Sciences Policy,Committee on Data Needs to Monitor the Evolution of SARS-CoV-2
Publisher : National Academies Press
Release Date : 2020-10-29
Category : Medical
Total pages :110
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In December 2019, new cases of severe pneumonia were first detected in Wuhan, China, and the cause was determined to be a novel beta coronavirus related to the severe acute respiratory syndrome (SARS) coronavirus that emerged from a bat reservoir in 2002. Within six months, this new virusâ€"SARS coronavirus 2 (SARS-CoV-2)â€"has spread worldwide, infecting at least 10 million people with an estimated 500,000 deaths. COVID-19, the disease caused by SARS-CoV-2, was declared a public health emergency of international concern on January 30, 2020 by the World Health Organization (WHO) and a pandemic on March 11, 2020. To date, there is no approved effective treatment or vaccine for COVID-19, and it continues to spread in many countries. Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2: Modernizing Pandemic Response Strategies lays out a framework to define and describe the data needs for a system to track and correlate viral genome sequences with clinical and epidemiological data. Such a system would help ensure the integration of data on viral evolution with detection, diagnostic, and countermeasure efforts. This report also explores data collection mechanisms to ensure a representative global sample set of all relevant extant sequences and considers challenges and opportunities for coordination across existing domestic, global, and regional data sources.

Public Health Genomics

Public Health Genomics
Author : Paul Lacaze,Gareth Baynam
Publisher : Frontiers Media SA
Release Date : 2019-10-17
Category :
Total pages :129
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The use of human genetic data has the potential to significantly improve healthcare, however a range of scientific, ethical and practical implementation barriers remain.

Evaluating the Gap Between Research Ethics Review and Data Sharing in the Pediatric Infrastructure Sciences

Evaluating the Gap Between Research Ethics Review and Data Sharing in the Pediatric Infrastructure Sciences
Author : Vasiliki Rahimzadeh
Publisher : Unknown
Release Date : 2019
Category :
Total pages :129
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"BACKGROUND: Clinical progress in genomics-enabled learning health systems relies on the production, use and exchange of data, including from children. The policies and practices guiding proportionate governance of such production, access and exchange are, however, markedly limited in the pediatric genomics space. The need for policy-practice coherence in genomic data sharing can be accentuated when involving children, from whom data may require special protections. Absent understanding the ethical-legal bases upon which responsible pediatric data sharing rests, present and future children may not reap the benefits of a healthcare system that continuously ‘learns’ from the production, use and exchange of their data. The purpose of this thesis is twofold: to identify the ethical, legal, social and scientific factors that enable ‘responsible’ genomic and associated clinical data sharing involving children; and to develop a policy framework guiding responsible sharing for the pediatric genomics community in Canada. METHODS: A systematic review of reasons was combined with policy Delphi methods to develop the Key Implications of Data Sharing (KIDS) framework for pediatric genomics. Thematic content, and descriptive statistical analyses were used to understand how 12 Canadian pediatricians, genomic researchers, ethicists and bioethics scholars prioritize the ethical-legal, social and scientific policy positions outlined in the KIDS framework. RESULTS: The panel reached consensus on 9 of 12 original policy positions identified in the systematic review and refined during a key informant committee meeting of international data sharing experts. Discrepant views related to informational risks, data access and oversight of anonymized versus coded genomic data were primary sources of dissention. CONCLUSION: This thesis makes two contributions to the theory and practice of responsible data sharing involving children in Canada. First, it suggests that skepticism of data anonymization drives support for more stringent access controls and oversight when data involve children. Second, greater emphasis on data accountability—coupled with data security—could serve as a more effective policy lever to preserve patient trust in data sharing given rapid progress in computation, ensuring children remain at the forefront of genomic innovation"--

Sharing Research Data to Improve Public Health in Africa

Sharing Research Data to Improve Public Health in Africa
Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on Population
Publisher : National Academies Press
Release Date : 2015-09-18
Category : Science
Total pages :102
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Sharing research data on public health issues can promote expanded scientific inquiry and has the potential to advance improvements in public health. Although sharing data is the norm in some research fields, sharing of data in public health is not as firmly established. In March 2015, the National Research Council organized an international conference in Stellenbosch, South Africa, to explore the benefits of and barriers to sharing research data within the African context. The workshop brought together public health researchers and epidemiologists primarily from the African continent, along with selected international experts, to talk about the benefits and challenges of sharing data to improve public health, and to discuss potential actions to guide future work related to public health research data sharing. Sharing Research Data to Improve Public Health in Africa summarizes the presentations and discussions from this workshop.

Real Science

Real Science
Author : John Ziman
Publisher : Cambridge University Press
Release Date : 2002-06-24
Category : Science
Total pages :412
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A systematic, carefully reasoned, but non-technical analysis of the nature and significance of scientific knowledge.

Sharing Clinical Trial Data

Sharing Clinical Trial Data
Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
Publisher : National Academies Press
Release Date : 2015-04-20
Category : Medical
Total pages :304
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Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research--from funders, to researchers, to journals, to physicians, and ultimately, to patients.

Genomics, Circuits, and Pathways in Clinical Neuropsychiatry

Genomics, Circuits, and Pathways in Clinical Neuropsychiatry
Author : Thomas Lehner,Bruce L. Miller,Matthew W. State
Publisher : Academic Press
Release Date : 2016-06-07
Category : Science
Total pages :796
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This foundational work comprehensively examines the current state of the genetics, genomics and brain circuitry of psychiatric and neurological disorders. It consolidates discoveries of specific genes and genomic regions associated with these conditions, the genetic and anatomic architecture of these syndromes, and addresses how recent advances in genomics are leading to a reappraisal of the biology underlying clinical neuroscience. In doing so, it critically examines the promise and limitations of these discoveries toward treatment, and to the interdisciplinary nature of understanding brain and behavior. Coverage includes new discoveries regarding autism, epilepsy, intellectual disability, dementias, movement disorders, language impairment, disorders of attention, schizophrenia, and bipolar disorder. Genomics, Circuits, and Pathways in Clinical Neuropsychiatry focuses on key concepts, challenges, findings, and methods in genetics, genomics, molecular pathways, brain circuitry, and related neurobiology of neurologic and psychiatric disorders. Provides interdisciplinary appeal in psychiatry, neurology, neuroscience, and genetics Identifies key concepts, methods, and findings Includes coverage of multiple disorders from autism to schizophrenia Reviews specific genes associated with disorders Discusses the genetic architecture of these syndromes Explains how recent findings are influencing the understanding of biology Clarifies the promise of these findings for future treatment

Indigenous Data Sovereignty

Indigenous Data Sovereignty
Author : Tahu Kukutai,John Taylor
Publisher : ANU Press
Release Date : 2016-11-14
Category : Social Science
Total pages :318
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As the global ‘data revolution’ accelerates, how can the data rights and interests of indigenous peoples be secured? Premised on the United Nations Declaration on the Rights of Indigenous Peoples, this book argues that indigenous peoples have inherent and inalienable rights relating to the collection, ownership and application of data about them, and about their lifeways and territories. As the first book to focus on indigenous data sovereignty, it asks: what does data sovereignty mean for indigenous peoples, and how is it being used in their pursuit of self-determination? The varied group of mostly indigenous contributors theorise and conceptualise this fast-emerging field and present case studies that illustrate the challenges and opportunities involved. These range from indigenous communities grappling with issues of identity, governance and development, to national governments and NGOs seeking to formulate a response to indigenous demands for data ownership. While the book is focused on the CANZUS states of Canada, Australia, Aotearoa/New Zealand and the United States, much of the content and discussion will be of interest and practical value to a broader global audience. ‘A debate-shaping book … it speaks to a fast-emerging field; it has a lot of important things to say; and the timing is right.’ — Stephen Cornell, Professor of Sociology and Faculty Chair of the Native Nations Institute, University of Arizona ‘The effort … in this book to theorise and conceptualise data sovereignty and its links to the realisation of the rights of indigenous peoples is pioneering and laudable.’ — Victoria Tauli-Corpuz, UN Special Rapporteur on the Rights of Indigenous Peoples, Baguio City, Philippines

Medical Data Sharing, Harmonization and Analytics

Medical Data Sharing, Harmonization and Analytics
Author : Vasileios Pezoulas,Themis Exarchos,Dimitrios I Fotiadis
Publisher : Academic Press
Release Date : 2020-01-05
Category : Science
Total pages :382
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Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data. Examines the unmet needs in chronic diseases as a part of medical data sharing Discusses ethical, legal and privacy issues as part of data protection Combines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases

Toward Precision Medicine

Toward Precision Medicine
Author : National Research Council,Division on Earth and Life Studies,Board on Life Sciences,Committee on A Framework for Developing a New Taxonomy of Disease
Publisher : National Academies Press
Release Date : 2012-01-16
Category : Medical
Total pages :142
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Motivated by the explosion of molecular data on humans-particularly data associated with individual patients-and the sense that there are large, as-yet-untapped opportunities to use this data to improve health outcomes, Toward Precision Medicine explores the feasibility and need for "a new taxonomy of human disease based on molecular biology" and develops a potential framework for creating one. The book says that a new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of diseases and ultimately enhance diagnosis and treatment. The "new taxonomy" that emerges would define diseases by their underlying molecular causes and other factors in addition to their traditional physical signs and symptoms. The book adds that the new data network could also improve biomedical research by enabling scientists to access patients' information during treatment while still protecting their rights. This would allow the marriage of molecular research and clinical data at the point of care, as opposed to research information continuing to reside primarily in academia. Toward Precision Medicine notes that moving toward individualized medicine requires that researchers and health care providers have access to very large sets of health- and disease-related data linked to individual patients. These data are also critical for developing the information commons, the knowledge network of disease, and ultimately the new taxonomy.

Sharing Clinical Research Data

Sharing Clinical Research Data
Author : Institute of Medicine,Board on Health Care Services,Board on Health Sciences Policy,Roundtable on Translating Genomic-Based Research for Health,National Cancer Policy Forum,Forum on Neuroscience and Nervous System Disorders,Forum on Drug Discovery, Development, and Translation
Publisher : National Academies Press
Release Date : 2013-06-07
Category : Medical
Total pages :156
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Pharmaceutical companies, academic researchers, and government agencies such as the Food and Drug Administration and the National Institutes of Health all possess large quantities of clinical research data. If these data were shared more widely within and across sectors, the resulting research advances derived from data pooling and analysis could improve public health, enhance patient safety, and spur drug development. Data sharing can also increase public trust in clinical trials and conclusions derived from them by lending transparency to the clinical research process. Much of this information, however, is never shared. Retention of clinical research data by investigators and within organizations may represent lost opportunities in biomedical research. Despite the potential benefits that could be accrued from pooling and analysis of shared data, barriers to data sharing faced by researchers in industry include concerns about data mining, erroneous secondary analyses of data, and unwarranted litigation, as well as a desire to protect confidential commercial information. Academic partners face significant cultural barriers to sharing data and participating in longer term collaborative efforts that stem from a desire to protect intellectual autonomy and a career advancement system built on priority of publication and citation requirements. Some barriers, like the need to protect patient privacy, pre- sent challenges for both sectors. Looking ahead, there are also a number of technical challenges to be faced in analyzing potentially large and heterogeneous datasets. This public workshop focused on strategies to facilitate sharing of clinical research data in order to advance scientific knowledge and public health. While the workshop focused on sharing of data from preplanned interventional studies of human subjects, models and projects involving sharing of other clinical data types were considered to the extent that they provided lessons learned and best practices. The workshop objectives were to examine the benefits of sharing of clinical research data from all sectors and among these sectors, including, for example: benefits to the research and development enterprise and benefits to the analysis of safety and efficacy. Sharing Clinical Research Data: Workshop Summary identifies barriers and challenges to sharing clinical research data, explores strategies to address these barriers and challenges, including identifying priority actions and "low-hanging fruit" opportunities, and discusses strategies for using these potentially large datasets to facilitate scientific and public health advances.

Responsible Conduct of Research

Responsible Conduct of Research
Author : Adil E. Shamoo,David B. Resnik
Publisher : Oxford University Press
Release Date : 2009-02-12
Category : Medical
Total pages :440
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Recent scandals and controversies, such as data fabrication in federally funded science, data manipulation and distortion in private industry, and human embryonic stem cell research, illustrate the importance of ethics in science. Responsible Conduct of Research, now in a completely updated second edition, provides an introduction to the social, ethical, and legal issues facing scientists today.

Data Matters

Data Matters
Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Government-University-Industry Research Roundtable,Planning Committee for the Workshop on Ethics, Data, and International Research Collaboration in a Changing World
Publisher : National Academies Press
Release Date : 2019-01-28
Category : Science
Total pages :102
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In an increasingly interconnected world, perhaps it should come as no surprise that international collaboration in science and technology research is growing at a remarkable rate. As science and technology capabilities grow around the world, U.S.-based organizations are finding that international collaborations and partnerships provide unique opportunities to enhance research and training. International research agreements can serve many purposes, but data are always involved in these collaborations. The kinds of data in play within international research agreements varies widely and may range from financial and consumer data, to Earth and space data, to population behavior and health data, to specific project-generated dataâ€"this is just a narrow set of examples of research data but illustrates the breadth of possibilities. The uses of these data are various and require accounting for the effects of data access, use, and sharing on many different parties. Cultural, legal, policy, and technical concerns are also important determinants of what can be done in the realms of maintaining privacy, confidentiality, and security, and ethics is a lens through which the issues of data, data sharing, and research agreements can be viewed as well. A workshop held on March 14-16, 2018, in Washington, DC explored the changing opportunities and risks of data management and use across disciplinary domains. The third workshop in a series, participants gathered to examine advisory principles for consideration when developing international research agreements, in the pursuit of highlighting promising practices for sustaining and enabling international research collaborations at the highest ethical level possible. The intent of the workshop was to explore, through an ethical lens, the changing opportunities and risks associated with data management and use across disciplinary domainsâ€"all within the context of international research agreements. This publication summarizes the presentations and discussions from the workshop.