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This book focuses on our increasing dependence upon Big Tech to live, manage, and enjoy our lives. The author examines how we freely exchange our personal data for access to online platforms, services, and devices without proper consideration of the implications of this trade. Our personal data is the defining resource of the emerging digital economy, and it is increasingly concentrated in a few data enclaves controlled by Big Tech firms, cementing an increasingly parasitic form of technoscientific innovation. Big Tech controls access to these data, dictates the terms of our use of their services and products, and controls the future development of key technologies like artificial intelligence. The contention of this book is that we need to rethink our political and policy approach to data governance and to do so requires unpacking the peculiarities of personal data and how personal data are transformed into a valuable asset.
Recent years have seen a growing tendency for social scientists to collect biological specimens such as blood, urine, and saliva as part of large-scale household surveys. By combining biological and social data, scientists are opening up new fields of inquiry and are able for the first time to address many new questions and connections. But including biospecimens in social surveys also adds a great deal of complexity and cost to the investigator's task. Along with the usual concerns about informed consent, privacy issues, and the best ways to collect, store, and share data, researchers now face a variety of issues that are much less familiar or that appear in a new light. In particular, collecting and storing human biological materials for use in social science research raises additional legal, ethical, and social issues, as well as practical issues related to the storage, retrieval, and sharing of data. For example, acquiring biological data and linking them to social science databases requires a more complex informed consent process, the development of a biorepository, the establishment of data sharing policies, and the creation of a process for deciding how the data are going to be shared and used for secondary analysis-all of which add cost to a survey and require additional time and attention from the investigators. These issues also are likely to be unfamiliar to social scientists who have not worked with biological specimens in the past. Adding to the attraction of collecting biospecimens but also to the complexity of sharing and protecting the data is the fact that this is an era of incredibly rapid gains in our understanding of complex biological and physiological phenomena. Thus the tradeoffs between the risks and opportunities of expanding access to research data are constantly changing. Conducting Biosocial Surveys offers findings and recommendations concerning the best approaches to the collection, storage, use, and sharing of biospecimens gathered in social science surveys and the digital representations of biological data derived therefrom. It is aimed at researchers interested in carrying out such surveys, their institutions, and their funding agencies.
This landmark collection will help readers understand the open access movement, open data, open educational resources, open knowledge, and the opportunities for an open and transformed world they promise.
Protect Your Organization Against Massive Data Breaches and Their Consequences Data breaches can be catastrophic, but they remain mysterious because victims don’t want to talk about them. In Data Breaches, world-renowned cybersecurity expert Sherri Davidoff shines a light on these events, offering practical guidance for reducing risk and mitigating consequences. Reflecting extensive personal experience and lessons from the world’s most damaging breaches, Davidoff identifies proven tactics for reducing damage caused by breaches and avoiding common mistakes that cause them to spiral out of control. You’ll learn how to manage data breaches as the true crises they are; minimize reputational damage and legal exposure; address unique challenges associated with health and payment card data; respond to hacktivism, ransomware, and cyber extortion; and prepare for the emerging battlefront of cloud-based breaches. Understand what you need to know about data breaches, the dark web, and markets for stolen data Limit damage by going beyond conventional incident response Navigate high-risk payment card breaches in the context of PCI DSS Assess and mitigate data breach risks associated with vendors and third-party suppliers Manage compliance requirements associated with healthcare and HIPAA Quickly respond to ransomware and data exposure cases Make better decisions about cyber insurance and maximize the value of your policy Reduce cloud risks and properly prepare for cloud-based data breaches Data Breaches is indispensable for everyone involved in breach avoidance or response: executives, managers, IT staff, consultants, investigators, students, and more. Read it before a breach happens! Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.
With chapters on: sampling; measurement; questionnaire construction and question writing; survey implementation and management; survey data analysis; special types of surveys; and integrating surveys with other data collection methods, this title includes topics such as measurement models, the role of cognitive psychology, and surveying networks.
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
This edited collection brings together leading international academics and researchers to provide a comprehensive body of literature that informs the future of prison and wider corrective services training, education, research, policy and practice. This volume addresses a range of 21st century issues faced by modern corrective services including, prison overcrowding, young and ageing offenders, mental health, sexual assault in corrective facilities, trans communities in corrective services and radicalisation of offenders within corrective services. Taking a multi-disciplinary approach and drawing together theoretical and practice debates, the book comprehensively considers current challenges and future trajectories for corrective systems, the people within them and service delivery. This volume will also be a welcomed resource for academics and researchers who have an interest in prisons, corrective services practice and broader criminal justice issues. It will also be of interest to those who want to join corrective services, those who are currently training to become personnel in corrective services and related allied professions, and those who are currently working in the field.
Designed to protect the privacy of individual student test scores, grades, and other education records, the Family Educational Rights and Privacy Act (FERPA) of 1974 places limits the access of educational researches, and slows research not only in education but also in related fields, such as child welfare and health. Recent trends have converged to greatly increase the supply of data on student performance in public schools. Education policies now emphasize education standards and testing to measure progress toward those standards, as well as rigorous education research. At the same time, private firms and public agencies, including schools, have replaced most paper records with electronic data systems. Although these databases represent a rich source of longitudinal data, researchers' access to the individually identifiable data they contain is limited by the privacy protections of FERPA. To explore possibilities for data access and confidentiality in compliance with FERPA and with the Common Rule for the Protection of Human Subjects, the National Academies and the American Educational Research Association convened the Workshop on Protecting Student Records and Facilitating Education Research in April 2008.
How the hidden trade in our sensitive medical information became a multibillion-dollar business, but has done little to improve our health-care outcomes Hidden to consumers, patient medical data has become a multibillion-dollar worldwide trade industry between our health-care providers, drug companies, and a complex web of middlemen. This great medical-data bazaar sells copies of the prescription you recently filled, your hospital records, insurance claims, blood-test results, and more, stripped of your name but possibly with identifiers such as year of birth, gender, and doctor. As computing grows ever more sophisticated, patient dossiers become increasingly vulnerable to reidentification and the possibility of being targeted by identity thieves or hackers. Paradoxically, comprehensive electronic files for patient treatment—the reason medical data exists in the first place—remain an elusive goal. Even today, patients or their doctors rarely have easy access to comprehensive records that could improve care. In the evolution of medical data, the instinct for profit has outstripped patient needs. This book tells the human, behind-the-scenes story of how such a system evolved internationally. It begins with New York advertising man Ludwig Wolfgang Frohlich, who founded IMS Health, the world’s dominant health-data miner, in the 1950s. IMS Health now gathers patient medical data from more than 45 billion transactions annually from 780,000 data feeds in more than 100 countries. Our Bodies, Our Data uncovers some of Frohlich’s hidden past and follows the story of what happened in the following decades. This is both a story about medicine and medical practice, and about big business and maximizing profits, and the places these meet, places most patients would like to believe are off-limits. Our Bodies, Our Data seeks to spark debate on how we can best balance the promise big data offers to advance medicine and improve lives while preserving the rights and interests of every patient. We, the public, deserve a say in this discussion. After all, it’s our data.