Download or read book Privacy work written by Frank Hendrickx and published by Kluwer Law International B.V.. This book was released on 2023-06-12 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: The right to privacy is a fundamental right. Along with the related right to personal data protection, it has come to take a central place in contemporary employment relations and shows significant relevance for the future of work. This thoroughly researched volume, which offers insightful essays by leading European academics and policymakers in labour and employment law, is the first to present a thoroughly up-to-date Europe-wide survey and analysis of the intensive and growing interaction of workplace relations systems with developments in privacy law. With abundant reference to the EU’s General Data Protection Regulation, the case law of the European Court of Human Rights, and the work of the International Labour Organisation, the book proceeds as a series of country chapters, each by a recognised expert in a specific jurisdiction. Legal comparison is based on a questionnaire circulated to the contributors in advance. Each country chapter addresses the national legal weight of such issues and topics as the following: interaction of privacy and data protection law; legitimacy, purpose limitation, and data minimisation; transparency; role of consent; artificial intelligence and automated decision-making; health-related data, including biometrics and psychological testing; monitoring and surveillance; and use of social media. A detailed introductory overview begins the volume. The research for this book is based on a dynamic methodology, founded in scientific desk research and expert networking. Recognising that the need for further guidance for privacy at work has been demonstrated by various European and international bodies, this book delivers a signal contribution to the field for social partners, practitioners, policymakers, scholars, and all other stakeholders working at the crossroads of privacy, data protection, and labour law.

Download or read book Sharing Clinical Trial Data written by Institute of Medicine and published by National Academies Press. This book was released on 2015-04-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Sharing Using A Common Data Architecture written by Michael H. Brackett and published by Wiley. This book was released on 1994-03-28 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Sharing Using a Common Data Architecture Wouldn’t it be a pleasure to know and understand all the data in your organization? Wouldn’t it be great to easily identify and readily share those data to develop information that supports business strategies? Wouldn’t it be wonderful to have a formal data resource that provides just-in-time data for developing just-in-time information to support just-in-time decision making? Data Sharing Using a Common Data Architecture shows you how by: Defining a common data architecture, its contents, and its uses Refining data to a common data architecture Discussing disparate data, its structure, quality, and how to identify it Describing how Data Sharing Reality is achieved Focusing on the importance of people and creating a win-win situation Providing a data lexicon and extensive glossary Data Sharing Using a Common Data Architecture is must reading for data administrators, database administrators, MIS project leaders, application programmers, systems analysts, MIS trainers and instructors, and graduate students.

Download or read book Sharing Clinical Research Data written by Institute of Medicine and published by National Academies Press. This book was released on 2013-06-07 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Linking Sensitive Data written by Peter Christen and published by . This book was released on 2020 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides modern technical answers to the legal requirements of pseudonymisation as recommended by privacy legislation. It covers topics such as modern regulatory frameworks for sharing and linking sensitive information, concepts and algorithms for privacy-preserving record linkage and their computational aspects, practical considerations such as dealing with dirty and missing data, as well as privacy, risk, and performance assessment measures. Existing techniques for privacy-preserving record linkage are evaluated empirically and real-world application examples that scale to population sizes are described. The book also includes pointers to freely available software tools, benchmark data sets, and tools to generate synthetic data that can be used to test and evaluate linkage techniques. This book consists of fourteen chapters grouped into four parts, and two appendices. The first part introduces the reader to the topic of linking sensitive data, the second part covers methods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases. The appendices provide pointers and describe freely available, open-source software systems that allow the linkage of sensitive data, and provide further details about the evaluations presented. A companion Web site at https://dmm.anu.edu.au/lsdbook2020 provides additional material and Python programs used in the book. This book is mainly written for applied scientists, researchers, and advanced practitioners in governments, industry, and universities who are concerned with developing, implementing, and deploying systems and tools to share sensitive information in administrative, commercial, or medical databases. The Book describes how linkage methods work and how to evaluate their performance. It covers all the major concepts and methods and also discusses practical matters such as computational efficiency, which are critical if the methods are to be used in practice - and it does all this in a highly accessible way! David J. Hand, Imperial College, London.

Download or read book Principles and Obstacles for Sharing Data from Environmental Health Research written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-05-29 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: On March 19, 2014, the National Academies of Sciences, Engineering, and Medicine held a workshop on the topic of the sharing of data from environmental health research. Experts in the field of environmental health agree that there are benefits to sharing research data, but questions remain regarding how to effectively make these data available. The sharing of data derived from human subjects-making them both transparent and accessible to others-raises a host of ethical, scientific, and process questions that are not always present in other areas of science, such as physics, geology, or chemistry. The workshop participants explored key concerns, principles, and obstacles to the responsible sharing of data used in support of environmental health research and policy making while focusing on protecting the privacy of human subjects and addressing the concerns of the research community. Principles and Obstacles for Sharing Data from Environmental Health Research summarizes the presentations and discussions from the workshop.

Download or read book Medical Data Sharing Harmonization and Analytics written by Vasileios Pezoulas and published by Academic Press. This book was released on 2020-01-05 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Blockchain Empowering Secure Data Sharing written by Meng Shen and published by Springer Nature. This book was released on 2020-07-15 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of big data, data sharing has become increasingly popular and important in optimizing resource allocation and improving information utilization. However, the expansion of data sharing means there is an urgent need to address the issue of the privacy protection – an area where the emerging blockchain technology offers considerable advantages. Although there are a large number of research papers on data sharing modeling and analysis of network security, there are few books dedicated to blockchain-based secure data sharing. Filing this gap in the literature, the book proposes a new data-sharing model based on the blockchain system, which is being increasingly used in medical and credit reporting contexts. It describes in detail various aspects of the model, including its role, transaction structure design, secure multi-party computing and homomorphic encryption services, and incentive mechanisms, and presents corresponding case studies. The book explains the security architecture model and the practice of building data sharing from the blockchain infrastructure, allowing readers to understand the importance of data sharing security based on the blockchain framework, as well as the threats to security and privacy. Further, by presenting specific data sharing case studies, it offers insights into solving data security sharing problems in more practical fields. The book is intended for readers with a basic understanding of the blockchain infrastructure, consensus mechanisms, smart contracts, secure multiparty computing, homomorphic encryption and image retrieval technologies.

Download or read book Information Sharing and Data Protection in the Area of Freedom Security and Justice written by Franziska Boehm and published by Springer Science & Business Media. This book was released on 2011-11-06 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privacy and data protection in police work and law enforcement cooperation has always been a challenging issue. Current developments in EU internal security policy, such as increased information sharing (which includes the exchange of personal data between European law enforcement agencies and judicial actors in the area of freedom, security and justice (Europol, Eurojust, Frontex and OLAF)) and the access of EU agencies, in particular Europol and Eurojust, to data stored in European information systems such as the SIS (II), VIS, CIS or Eurodac raise interesting questions regarding the balance between the rights of individuals and security interests. This book deals with the complexity of the relations between these actors and offers for the first time a comprehensive overview of the structures for information exchange in the area of freedom, security and justice and their compliance with data protection rules in this field.

Download or read book Managing and Sharing Research Data written by Louise Corti and published by SAGE. This book was released on 2014-02-04 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today’s changing research environment. The book features guidance on: how to plan your research using a data management checklist how to format and organize data how to store and transfer data research ethics and privacy in data sharing and intellectual property rights data strategies for collaborative research how to publish and cite data how to make use of other people’s research data, illustrated with six real-life case studies of data use.

Download or read book Freight Data Sharing Guidebook written by and published by Transportation Research Board. This book was released on 2013 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: "TRB's National Cooperative Freight Research Program (NCFRP) Report 25: Freight Data Sharing Guidebook provides a series of guidelines for sharing freight data, primarily between public and private freight stakeholders. The report identifies barriers and motivators to successful data sharing, offers guidelines for freight data sharing, and provides two successful case study examples. The report also provides examples of data sharing agreements."--Publication info.

Download or read book Trust data written by Thomas Hardjono and published by Createspace Independent Publishing Platform. This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the economy and society move from a world where interactions were physical and based on paper documents, toward a world that is primarily governed by digital data and digital transactions, our existing methods of managing identity and data security are proving inadequate. Large-scale fraud, identity theft and data breaches are becoming common, and a large fraction of the population have only the most limited digital credentials. Even so, our digital infrastructure is recognized as a strategic asset which must be resilient to threat. If we can create an Internet of Trusted Data that provides safe, secure access for everyone, then huge societal benefits can be unlocked, including better health, greater financial inclusion, and a population that is more engaged with and better supported by its government. Some of the world's leading data scientists, led by MIT Professor Alex Pentland, describe a roadmap and platforms to implement this new paradigm.

Download or read book The Challenge of Data Sharing written by United States. General Accounting Office and published by . This book was released on 2000 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Law and Ethics of Data Sharing in Health Sciences written by Marcelo Corrales Compagnucci and published by Springer Nature. This book was released on 2024-01-02 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data sharing – broadly defined as the exchange of health-related data among multiple controllers and processors – has gained increased relevance in the health sciences over recent years as the need and demand for collaboration has increased. This includes data obtained through healthcare provisions, clinical trials, observational studies, public health surveillance programs, and other data collection methods. The practice of data sharing presents several notable challenges, however. Compliance with a complex and dynamic regulatory framework is essential, with the General Data Protection Regulation being a prominent example in a European context. Recent regulatory developments related to clinical trial transparency, trade secrecy, data access, AI training data, and health data spaces further contribute to the difficulties. Simultaneously, government initiatives often encourage scientists to embrace principles of “open data” and “open innovation.” The variety of regulations in this domain has the potential to impede widespread data sharing and hinder innovation. This edited volume, therefore, compiles comparative case studies authored by leading scholars from diverse disciplines and jurisdictions. The book aims to outline the legal complexities of data sharing. By examining real-world scenarios from diverse disciplines and a global perspective, it explores the normative, policy, and ethical dilemmas that surround data sharing in the health sciences today. Chapter Patient Perspectives on Data Sharing, Chapter Supplementary Measures and Appropriate Safeguards for International Transfers of Health Data after Schrems II are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Download or read book Enhancing Access to and Sharing of Data Reconciling Risks and Benefits for Data Re use across Societies written by OECD and published by OECD Publishing. This book was released on 2019-11-26 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report examines the opportunities of enhancing access to and sharing of data (EASD) in the context of the growing importance of artificial intelligence and the Internet of Things. It discusses how EASD can maximise the social and economic value of data re-use and how the related risks and challenges can be addressed. It highlights the trade-offs, complementarities and possible unintended consequences of policy action – and inaction. It also provides examples of EASD approaches and policy initiatives in OECD countries and partner economies.

Download or read book Improving Business Statistics Through Interagency Data Sharing written by National Research Council and published by National Academies Press. This book was released on 2006-10-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: U.S. business data are used broadly, providing the building blocks for key national-as well as regional and local-statistics measuring aggregate income and output, employment, investment, prices, and productivity. Beyond aggregate statistics, individual- and firm-level data are used for a wide range of microanalyses by academic researchers and by policy makers. In the United States, data collection and production efforts are conducted by a decentralized system of statistical agencies. This apparatus yields an extensive array of data that, particularly when made available in the form of microdata, provides an unparalleled resource for policy analysis and research on social issues and for the production of economic statistics. However, the decentralized nature of the statistical system also creates challenges to efficient data collection, to containment of respondent burden, and to maintaining consistency of terms and units of measurement. It is these challenges that raise to paramount importance the practice of effective data sharing among the statistical agencies. With this as the backdrop, the Bureau of Economic Analysis (BEA) asked the Committee on National Statistics of the National Academies to convene a workshop to discuss interagency business data sharing. The workshop was held October 21, 2005. This report is a summary of the discussions of that workshop. The workshop focused on the benefits of data sharing to two groups of stakeholders: the statistical agencies themselves and downstream data users. Presenters were asked to highlight untapped opportunities for productive data sharing that cannot yet be exploited because of regulatory or legislative constraints. The most prominently discussed example was that of tax data needed to reconcile the two primary business lists use by the statistical agencies.

Download or read book Research Data Sharing and Valorization written by Joachim Schöpfel and published by John Wiley & Sons. This book was released on 2022-08-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: As platforms for sharing, re-using and storing data, research data repositories are integral to open science policy. This book provides a comprehensive approach to these data repositories, their functionalities, uses, issues and prospects. Taking France as an example, the current landscape of data repositories is considered, including discussion of the idea of a national repository and a comparative study of several national systems. The international re3data directory is outlined and a collection of six case studies of model repositories, both public and private, are detailed (CDS, Data INRAE, SEANOE, Nakala, Figshare and Data Mendeley). Research Data Sharing and Valorization also includes appendices containing a number of websites and reference texts from the French Ministry of Higher Education, Research and Innovation, and the CNRS. To the authors’ knowledge, it is the first book to be entirely devoted to these new platforms and is aimed at researchers, teachers, students and professionals working with scientific and technical data and information.