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Data, in its raw or unstructured form, has become an important and valuable economic asset, lending it the sobriquet of ‘the oil of the twenty-first century’. Clearly, as intellectual property, raw data must be legally defined if not somehow protected to ensure that its access and re-use can be subject to legal relations. As legislators struggle to develop a settled legal regime in this complex area, this indispensable handbook will offer a careful and dedicated analysis of the legal instruments and remedies, both existing and potential, that provide such protection across a wide variety of national legal systems. Produced under the auspices of the International Association for the Protection of International Property (AIPPI), more than forty of the association’s specialists from twenty-three countries worldwide contribute national chapters on the relevant law in their respective jurisdictions. The contributions thoroughly explain how each country approaches such crucial matters as the following: if there is any intellectual property right available to protect raw data; the nature of such intellectual property rights that exist in unstructured data; contracts on data and which legal boundaries stand in the way of contract drafting; liability for data products or services; and questions of international private law and cross-border portability. Each country’s rules concerning specific forms of data – such as data embedded in household appliances and consumer goods, criminal offence data, data relating to human genetics, tax and bank secrecy, medical records, and clinical trial data – are described, drawing on legislation, regulation, and case law. A matchless legal resource on one of the most important raw materials of the twenty-first century, this book provides corporate counsel, practitioners and policymakers working in the field of intellectual property rights, and concerned academics with both a broad-based global overview on emerging legal strategies in the protection of unstructured data and the latest information on existing legislation and regulation in the area.
The first book of legal advice for the hip hop generation, Covering areas ranging from how to secure the best public defender to what to do when driving DWB, this is a step-by-step guide to the criminal system for those who need it most written by a criminal defense attorney who knows this world from the inside out. A counterpoint to the Law and Order justice the public sees and believes in. This is the real criminal justice system, as told from someone inside, someone fights it ever day. This is not a manual for how to get off, how to be a better criminal. It is proof that the system will eat you up and spit you out if you dare to become involved or think you can beat it. Raw Law authoritatively addresses the legal issues faced by the hip hop generation, and offers a simple guide on how to avoid certain situations and how to learn and respond to others. Here readers will learn the truths and untruths of the justice system and how they can protect themselves from the worst of it. But most of all, they will learn how to follow the first rule of the criminal justice system: AVOID IT AT ALL COSTS.
The convergence of various fields of technology is changing the fabric of society. Big data and data mining, Internet of Things, artificial intelligence and blockchains are already affecting business models and leading to a social and economic transformations that have been dubbed by the fourth industrial revolution. Focusing on the framework of intellectual property rights, the contributions to this book analyse how the technical background of this massive transformation affects intellectual property law and policy and how intellectual property is likely to change in order to serve the society. Well-known authorities in intellectual property law offer in-depth chapters on the roles in this revolution of such concepts and actualities as the following: power and role of data as the raw material of the revolution; artificial inventors and creators; trade marks in the dimension of avatars and fictional game characters; concept of inventive step change where the person skilled in the art is virtual; data rights versus intellectual property rights; transparency in the context of big data; interrelations of data, technology transfer and antitrust; self-executable and ‘smart’ contracts; redefining the balance among exclusive rights, development, technology transfer and contracts; and proprietary information versus the public domain. The chapters also provide complete analyses of how big data changes decision-making processes, how sustainable development requires redefinition, how technology transfer is re-emerging as technology diffusion and how the role of contracts and blockchain as instruments of monitoring and enforcement are being defined. Offering the first in-depth legal commentary and analysis of this highly topical issue, the book approaches the fourth industrial revolution from the perspectives of technical background, society and law. Its authoritative analysis of how the data-driven economy influences innovation and technology transfer is without peer. It will be welcomed by practicing lawyers in intellectual property rights and competition law, as well as by academics, think tanks and policymakers.
This book shows how the vision for open access to scientific data can be more readily achieved through a staged model that research funders, policy makers, scientists, and research organizations can adopt in their practice. Drawing on her own experiences with data processing, on early findings with open scientific data at CERN (the European Organization for Nuclear Research), and from case studies of shared clinical trial data, the author updates our understanding of research data - what it is; how it dynamically evolves across different scientific disciplines and across various stages of research practice; and how it can, and indeed should, be shared at any of those stages. The result is a flexible and pragmatic path for implementing open scientific data.
This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Episodes in the history of data, from early modern math problems to today's inescapable “dataveillance,” that demonstrate the dependence of data on culture. We live in the era of Big Data, with storage and transmission capacity measured not just in terabytes but in petabytes (where peta- denotes a quadrillion, or a thousand trillion). Data collection is constant and even insidious, with every click and every “like” stored somewhere for something. This book reminds us that data is anything but “raw,” that we shouldn't think of data as a natural resource but as a cultural one that needs to be generated, protected, and interpreted. The book's essays describe eight episodes in the history of data from the predigital to the digital. Together they address such issues as the ways that different kinds of data and different domains of inquiry are mutually defining; how data are variously “cooked” in the processes of their collection and use; and conflicts over what can—or can't—be “reduced” to data. Contributors discuss the intellectual history of data as a concept; describe early financial modeling and some unusual sources for astronomical data; discover the prehistory of the database in newspaper clippings and index cards; and consider contemporary “dataveillance” of our online habits as well as the complexity of scientific data curation. Essay Authors Geoffrey C. Bowker, Kevin R. Brine, Ellen Gruber Garvey, Lisa Gitelman, Steven J. Jackson, Virginia Jackson, Markus Krajewski, Mary Poovey, Rita Raley, David Ribes, Daniel Rosenberg, Matthew Stanley, Travis D. Williams
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.
This work is the first to assess the legality and impact of colonisation from the viewpoint of Aboriginal law, rather than from that of the dominant Western legal tradition. It begins by outlining the Aboriginal legal system as it is embedded in Aboriginal people’s complex relationship with their ancestral lands. This is Raw Law: a natural system of obligations and benefits, flowing from an Aboriginal ontology. This book places Raw Law at the centre of an analysis of colonisation – thereby decentring the usual analytical tendency to privilege the dominant structures and concepts of Western law. From the perspective of Aboriginal law, colonisation was a violation of the code of political and social conduct embodied in Raw Law. Its effects were damaging. It forced Aboriginal peoples to violate their own principles of natural responsibility to self, community, country and future existence. But this book is not simply a work of mourning. Most profoundly, it is a celebration of the resilience of Aboriginal ways, and a call for these to be recognised as central in discussions of colonial and postcolonial legality. Written by an experienced legal practitioner, scholar and political activist, AboriginalPeoples, Colonialism and International Law: Raw Law will be of interest to students and researchers of Indigenous Peoples Rights, International Law and Critical Legal Theory.