Data Integrity and Data Governance PDF Download

Author: B. Santhosh Kumar
Publisher:
ISBN: 9781839688638
Category : Data integrity
Languages : en
Pages : 0

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Author: R. D. McDowall
Publisher: Royal Society of Chemistry
ISBN: 178801281X
Category : Science
Languages : en
Pages : 660

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Book Description
This book provides practical and detailed advice on how to implement data governance and data integrity for regulated analytical laboratories working in the pharmaceutical and allied industries.

Author: Uma Gupta
Publisher: Emerald Group Publishing
ISBN: 1789735696
Category : Business & Economics
Languages : en
Pages : 112

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Book Description
Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.

Author: David B Little
Publisher: John Wiley & Sons
ISBN: 9780470035191
Category : Technology & Engineering
Languages : en
Pages : 256

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Book Description
How to plan your future strategy for efficient, cost-saving data management Businesses have historically treated data protection as an afterthought, as simply making an occasional copy of data that could be used in the future. Today, this attitude is changing rapidly. The ever-increasing amount of data, along with the emphasis on continuous availability, necessitates changes in the approach to data integrity, which results in management and protection becoming much more closely aligned. Digital Data Integrity throws light on the data integrity landscape of the future. It provides the reader with a brief overview of the historical methods and subsequent evolution of data protection. The text shows how the whole subject of data integrity is changing and describes and positions many of the new, enhanced, more intelligent protection technologies and methods. Digital Data Integrity: Takes a unique, forward look at data protection and management, highlighting the paradigm shift from simple backup and recovery to total data management. Details recent developments in compliance regulations in an accessible manner. Covers enhanced protection technologies such as advanced intelligent synthetic backups, data reduction methods, and data growth – online protection using continuous data protection. Explains data life cycle management and data storage, using management, quality of service products and tools to achieve better data management, intelligent allocation of storage, and compliance with regulations. Contains information on quality control, looking at SLA (Service Level Agreements), protection by business unit and billing/charge back. Unique insight into hot topics such as next generation bare metal recovery and true system provisioning. This invaluable text will provide system administrators, and database administrators, as well as senior IT managers and decision makers with a thorough understanding of data management and protection. With contributions from Ray Schafer and Paul Mayer.

Author: Peter Ghavami
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110664062
Category : Business & Economics
Languages : en
Pages : 174

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Book Description
Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

Author: José Rodríguez-Pérez
Publisher: Quality Press
ISBN: 1951058488
Category : Business & Economics
Languages : en
Pages : 137

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Book Description
Data integrity is a global mandatory requirement for the regulated healthcare industry. It is more than a mere expectation-it's a basic element of good documentation practices, one of the most fundamental pillars of a quality management system. Robustness and accuracy of the data submitted by manufacturers to regulatory authorities when bringing a medical product to market are crucial. The purpose of this book is to consolidate existing data integrity principles and expectations from several regulatory sources-including the U.S. Food and Drug Administration, World Health Organization, and European Medicines Agency-into a single and handy document that provides detailed, illustrative implementation guidance. It serves as a means of understanding regulatory agencies' position on good data management and the minimum expectation for how medical product manufacturers can achieve compliance.

Author: Susanne Prokscha
Publisher: CRC Press
ISBN: 1040042112
Category : Medical
Languages : en
Pages : 266

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Book Description
The management of clinical data, from its collection during a trial to its extraction for analysis, has become critical in preparing a regulatory submission and obtaining approval to market a treatment. Groundbreaking on its initial publication nearly 14 years ago, and evolving with the field in each iteration since then, this latest volume includes revisions to all chapters to reflect the recent updates to ICH E6, good clinical practices, electronic data capture, and interactive response technologies. Keeping the coverage practical, the author focuses on the most critical information that impacts clinical trial conduct, providing a full end-to-end overview for clinical data managers. Features: Provides an introduction and background information for the spectrum of clinical data management tasks. Outstanding text in the industry and has been used by the Society for Clinical Data Management in creating its certification exam. Explains the high-level flow of a clinical trial from creation of the protocol through study lock. Reflects electronic data capture and interactive response technologies. Discusses using the concept of three phases in the clinical data management of a study: study startup, study conduct, and study closeout, to write procedures and train staff.

Author: Rupa Mahanti
Publisher: Springer Nature
ISBN: 9811635838
Category : Business & Economics
Languages : en
Pages : 218

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Book Description
This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives.

Author: Evren Eryurek
Publisher: "O'Reilly Media, Inc."
ISBN: 1492063460
Category : Business & Economics
Languages : en
Pages : 254

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Book Description
As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.

Author: Rupa Mahanti
Publisher: Springer Nature
ISBN: 9813368772
Category : Business & Economics
Languages : en
Pages : 213

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Book Description
This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed issue in the field of data. This book considers the cost of non-compliance bringing in examples from different industries of instances in which companies failed to comply with rules, regulations, and other legal obligations, and goes on to explain how data governance helps in avoiding such pitfalls. The first in a three-volume series on data governance, this book does not assume any prior or specialist knowledge in data governance and will be highly beneficial for IT, management and law students, academics, information management and business professionals, and researchers to enhance their knowledge and get guidance in managing their own data governance projects from a governance and compliance perspective.