A Practical Guide To Data Processing Management

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A Practical Guide To Data Processing Management
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Author : James Hannan
language : en
Publisher: Pennsauken, N.J. : Auerbach Publishers ; New York : Van Nostrand Reinhold Company
Release Date : 1982
A Practical Guide To Data Processing Management written by James Hannan and has been published by Pennsauken, N.J. : Auerbach Publishers ; New York : Van Nostrand Reinhold Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Business & Economics categories.
Computing Standards
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Author : John Spencer
language : en
Publisher: Wiley-Blackwell
Release Date : 1987
Computing Standards written by John Spencer and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
A Practical Guide To Data Communications Management
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Author : James Hannan
language : en
Publisher: Auerbach Publications
Release Date : 1982
A Practical Guide To Data Communications Management written by James Hannan and has been published by Auerbach Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Computers categories.
Practical Guide To Clinical Data Management Third Edition
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Author : Susanne Prokscha
language : en
Publisher: CRC Press
Release Date : 2011-10-26
Practical Guide To Clinical Data Management Third Edition written by Susanne Prokscha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-26 with Computers categories.
The management of clinical data, from its collection during a trial to its extraction for analysis, has become a critical element in the steps to prepare a regulatory submission and to obtain approval to market a treatment. Groundbreaking on its initial publication nearly fourteen years ago, and evolving with the field in each iteration since then, the third edition of Practical Guide to Clinical Data Management includes important updates to all chapters to reflect the current industry approach to using electronic data capture (EDC) for most studies. See what’s new in the Third Edition: A chapter on the clinical trial process that explains the high level flow of a clinical trial from creation of the protocol through the study lock and provides the context for the clinical data management activities that follow Reorganized content reflects an industry trend that divides training and standard operating procedures for clinical data management into the categories of study startup, study conduct, and study closeout Coverage of current industry and Food and Drug Administration (FDA) approaches and concerns The book provides a comprehensive overview of the tasks involved in clinical data management and the computer systems used to perform those tasks. It also details the context of regulations that guide how those systems are used and how those regulations are applied to their installation and maintenance. Keeping the coverage practical rather than academic, the author hones in on the most critical information that impacts clinical trial conduct, providing a full end-to-end overview or introduction for clinical data managers.
A Practical Guide To Data Center Operations Management
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Author : James Hannan
language : en
Publisher: Auerbach Publications
Release Date : 1982
A Practical Guide To Data Center Operations Management written by James Hannan and has been published by Auerbach Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Business & Economics categories.
The Eu General Data Protection Regulation Gdpr
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Author : Paul Voigt
language : en
Publisher: Springer
Release Date : 2017-08-07
The Eu General Data Protection Regulation Gdpr written by Paul Voigt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Law categories.
This book provides expert advice on the practical implementation of the European Union’s General Data Protection Regulation (GDPR) and systematically analyses its various provisions. Examples, tables, a checklist etc. showcase the practical consequences of the new legislation. The handbook examines the GDPR’s scope of application, the organizational and material requirements for data protection, the rights of data subjects, the role of the Supervisory Authorities, enforcement and fines under the GDPR, and national particularities. In addition, it supplies a brief outlook on the legal consequences for seminal data processing areas, such as Cloud Computing, Big Data and the Internet of Things.Adopted in 2016, the General Data Protection Regulation will come into force in May 2018. It provides for numerous new and intensified data protection obligations, as well as a significant increase in fines (up to 20 million euros). As a result, not only companies located within the European Union will have to change their approach to data security; due to the GDPR’s broad, transnational scope of application, it will affect numerous companies worldwide.
A Practical Guide To Brain Data Analysis
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Author : Joao Paulo Vieito
language : en
Publisher: World Scientific
Release Date : 2016-12-21
A Practical Guide To Brain Data Analysis written by Joao Paulo Vieito and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-21 with Medical categories.
This book was developed to help students and researchers in the fields of economics, finance, law and other social science areas to understand and apply neuroscience. With the use of neuroscience technologies, it is now possible to understand how people make decisions in practice, using friendly and ecological experimental setups. The first half of the book studies the decision-making process and explains how the brain is organized. It presents the brain as a distributed processing system, shows how to record brain activities, and how to combine neurosciences and statistical tools to design experiments. In the last chapters, experiments on stock market decision, dilemma judgment, vote decision and understanding of media propaganda are described and discussed.
Principles Of Database Management
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Author : Wilfried Lemahieu
language : en
Publisher: Cambridge University Press
Release Date : 2018-07-12
Principles Of Database Management written by Wilfried Lemahieu and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-12 with Computers categories.
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Data Management Using Stata
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Author : Michael N. Mitchell
language : en
Publisher: Taylor & Francis US
Release Date : 2010-05-24
Data Management Using Stata written by Michael N. Mitchell and has been published by Taylor & Francis US this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-24 with Business & Economics categories.
Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples, such as creating data variables and automating error checking. The text also discusses common pitfalls and how to avoid them and provides strategic data management advice. Ideal for both beginning statisticians and experienced users, this handy book helps readers solve problems and learn comprehensive data management skills.
Data Management For Researchers
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Author : Kristin Briney
language : en
Publisher: Pelagic Publishing Ltd
Release Date : 2015-09-01
Data Management For Researchers written by Kristin Briney and has been published by Pelagic Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-01 with Computers categories.
A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin