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| Author | : Tim King |
| Publisher | : BCS, The Chartered Institute for IT |
| Total Pages | : 150 |
| Release | : 2020-04-27 |
| Genre | : |
| ISBN | : 9781780174594 |
This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61. Examples of good practice in data quality management are also included.
| Author | : Agency for Healthcare Research and Quality/AHRQ |
| Publisher | : Government Printing Office |
| Total Pages | : 385 |
| Release | : 2014-04-01 |
| Genre | : Medical |
| ISBN | : 1587634333 |
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.
| Author | : Thomas Pyzdek |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 0 |
| Release | : 2023-06-20 |
| Genre | : Technology & Engineering |
| ISBN | : 9781265829230 |
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The definitive guide to organizational excellence--completely updated Fully revised for the latest American Society for Quality (ASQ) Certified Manager of Quality/Organizational Excellence (CMQ/QE) Body of Knowledge, The Handbook for Quality Management: A Complete Guide to Operational Excellence, Second Edition offers in-depth guidance on effectively applying the principles of quality management in today's business environment and delivering superior results. Designed to help you prepare for and pass the ASQ CMQ/QE exam, this authoritative volume also serves as an essential on-the-job reference. Coverage includes: Business-integrated quality systems Organizational structures The quality function Approaches to quality Customer-focused organizations Integrated planning Strategic planning Understanding customer expectations and needs Benchmarking Organizational assessment Process control Quantifying process variation Quality audits Supply chain management Continuous improvement Effective change management Six Sigma methodology, including detailed descriptions of the DMAIC and DMADV approaches Management of human resources Motivation theories and principles Management styles Resource requirements to manage the quality function Over the past 40 years, the quality management discipline has undergone steady evolution from disparate quality assurance efforts to strategic, business-integrated functions. Today's quality manager must be able to plan and implement measurable, cost-effective process-improvement initiatives across the organization. Written by two of the foremost authorities on the subject and fully updated for the latest American Society for Quality (ASQ) Certified Manager of Quality/Organizational Excellence (CMQ/OE) Body of Knowledge, The Handbook for Quality Management, Second Edition provides an operational guide to the proper understanding and application of quality management in the current business environment. It serves as a primary reference source for an organization's quality program and for anyone seeking to pass the CMQ/OE exam, given by the ASQ. The Handbook for Quality Management: A Complete Guide to Operational Excellence, Second Edition: Clearly defines quality management principles and their application within a cross section of industries Integrates the application of Theory of Constraints, Six Sigma, and Lean thinking into the Quality Management discipline Contains detailed methods for planning, including customer needs recognition, benchmarking, and organizational assessments Discusses controls such as statistical process control, audits, and supply chain management Explains the stages of continuous improvement Incorporates classic motivation theory with more current management practices advocated by Joiner, Senge, and Deming, among others
| Author | : Yang W. Lee |
| Publisher | : MIT Press (MA) |
| Total Pages | : 248 |
| Release | : 2006 |
| Genre | : Business & Economics |
| ISBN | : |
All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Qualityoffers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
| Author | : Danette McGilvray |
| Publisher | : Academic Press |
| Total Pages | : 378 |
| Release | : 2021-05-27 |
| Genre | : Computers |
| ISBN | : 0128180161 |
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
| Author | : Chunlong Zhang |
| Publisher | : John Wiley & Sons |
| Total Pages | : 581 |
| Release | : 2024-02-29 |
| Genre | : Science |
| ISBN | : 111977859X |
Fundamentals of Environmental Sampling and Analysis A fully reworked and updated introduction to the fundamentals and applications of environmental sampling and analysis Environmental sampling and analysis are essential components of environmental data acquisition and scientific research. The acquisition of reliable data with respect to proper sampling, chemical and instrumental methodology, and QA/QC is a critical precursor to all environmental work. No would-be environmental scientist, engineer, or policymaker can succeed without an understanding of how to correctly acquire, assess and use credible data. Fundamentals of Environmental Sampling and Analysis, 2nd edition provides this understanding, with a comprehensive survey of the theory and applications of these critical sampling and analytical tools. The field of environmental research has expanded greatly since the publication of the first edition, and this book has been completely rewritten to reflect the latest studies and technological developments. The resulting mix of theory and practice will continue to serve as the standard introduction to the subject. Readers of the second edition of Fundamentals of Environmental Sampling and Analysis will also find: Three new chapters and numerous expanded sections on topics of emerging environmental concerns Detailed discussion of subjects including passive sampling, Raman spectroscopy, non-targeted mass spectroscopic analysis, and many more Over 500 sample problems and solutions along with other supplementary instructional materials Fundamentals of Environmental Sampling and Analysis is ideal for students of environmental science and engineering as well as professionals and regulators for whom reliable environmental data through sampling and analysis is critical.
| Author | : Crystal Lewis |
| Publisher | : CRC Press |
| Total Pages | : 278 |
| Release | : 2024-07-09 |
| Genre | : Mathematics |
| ISBN | : 1040045820 |
Research data management is becoming more complicated. Researchers are collecting more data, using more complex technologies, all the while increasing the visibility of our work with the push for data sharing and open science practices. Ad hoc data management practices may have worked for us in the past, but now others need to understand our processes as well, requiring researchers to be more thoughtful in planning their data management routines. This book is for anyone involved in a research study involving original data collection. While the book focuses on quantitative data, typically collected from human participants, many of the practices covered can apply to other types of data as well. The book contains foundational context, instructions, and practical examples to help researchers in the field of education begin to understand how to create data management workflows for large-scale, typically federally funded, research studies. The book starts by describing the research life cycle and how data management fits within this larger picture. The remaining chapters are then organized by each phase of the life cycle, with examples of best practices provided for each phase. Finally, considerations on whether the reader should implement, and how to integrate those practices into a workflow, are discussed. Key Features: Provides a holistic approach to the research life cycle, showing how project management and data management processes work in parallel and collaboratively Can be read in its entirety, or referenced as needed throughout the life cycle Includes relatable examples specific to education research Includes a discussion on how to organize and document data in preparation for data sharing requirements Contains links to example documents as well as templates to help readers implement practices
| Author | : Marcos von Sperling |
| Publisher | : IWA Publishing |
| Total Pages | : 668 |
| Release | : 2020-01-15 |
| Genre | : Science |
| ISBN | : 1780409311 |
This book presents the basic principles for evaluating water quality and treatment plant performance in a clear, innovative and didactic way, using a combined approach that involves the interpretation of monitoring data associated with (i) the basic processes that take place in water bodies and in water and wastewater treatment plants and (ii) data management and statistical calculations to allow a deep interpretation of the data. This book is problem-oriented and works from practice to theory, covering most of the information you will need, such as (a) obtaining flow data and working with the concept of loading, (b) organizing sampling programmes and measurements, (c) connecting laboratory analysis to data management, (e) using numerical and graphical methods for describing monitoring data (descriptive statistics), (f) understanding and reporting removal efficiencies, (g) recognizing symmetry and asymmetry in monitoring data (normal and log-normal distributions), (h) evaluating compliance with targets and regulatory standards for effluents and water bodies, (i) making comparisons with the monitoring data (tests of hypothesis), (j) understanding the relationship between monitoring variables (correlation and regression analysis), (k) making water and mass balances, (l) understanding the different loading rates applied to treatment units, (m) learning the principles of reaction kinetics and reactor hydraulics and (n) performing calibration and verification of models. The major concepts are illustrated by 92 fully worked-out examples, which are supported by 75 freely-downloadable Excel spreadsheets. Each chapter concludes with a checklist for your report. If you are a student, researcher or practitioner planning to use or already using treatment plant and water quality monitoring data, then this book is for you! 75 Excel spreadsheets are available to download.
| Author | : Akshay Anand |
| Publisher | : Springer Nature |
| Total Pages | : 247 |
| Release | : 2021-08-17 |
| Genre | : Medical |
| ISBN | : 9811630747 |
This book is a comprehensive and timely compilation of strategy, methods, and implementation of a proof of concept modified quality module of Good Laboratory Practices (GLP). This text provides a historical overview of GLP and related standards of quality assurance practices in clinical testing laboratories as well as basic research settings. It specifically discusses the need and challenges in audit, documentation, and strategies for its implications in system-dependent productivity striving research laboratories. It also describes the importance of periodic training of study directors as well as the scholars for standardization in research processes. This book describes different documents required at various time points of a successful Ph.D and post-doc tenure along with faculty training besides entire lab establishments. Various other areas including academic social responsibility and quality assurance in the developing world, lab orientations, and communication, digitization in data accuracy, auditability and back traceability have also been discussed. This book will be a preferred source for principal investigators, research scholars, and industrial research centers globally. From the foreword by Ratan Tata, India “This book will be a guide for students and professionals alike in quality assurance practices related to clinical research labs. The historical research and fundamental principles make it a good tool in clinical research environments. The country has a great need for such a compilation in order to increase the application of domestic capabilities and technology”
