Download or read book District data quality assurance written by World Health Organization and published by World Health Organization. This book was released on 2023-01-30 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This training package aims to improve the quality of routine health facility data through building capacity in the monthly use of District Health Information Software (DHIS)2-based data quality (DQ) tools at district level. The package includes tutorials with related exercises and uses a website (https://who-demos.dhis2.org/dq) to demonstrate the tools.
Download or read book Data quality assurance Module 2 Discrete desk review of data quality written by World Health Organization and published by World Health Organization. This book was released on 2023-01-17 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication is one of the three module toolkit and provide technical guidance and tools to support the work on strengthening data quality in countries. This is part of the Division of Data and Delivery for Impact's scope of work providing normative guidance for health information system strengthening.
Download or read book Data quality assurance Module 3 Site assessment of data quality written by World Health Organization and published by World Health Organization. This book was released on 2023-01-17 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication is one of the three module toolkit and provide technical guidance and tools to support the work on strengthening data quality in countries. This is part of the Division of Data, Analytics and Delivery for Impact’s scope of work providing normative guidance for health information system strengthening.
Download or read book Data quality assurance Module 1 Framework and metrics written by World Health Organization and published by World Health Organization. This book was released on 2023-02-14 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Academic Press. This book was released on 2021-05-27 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Quality assurance quality control Manual for Collection and Analysis of Water quality Data in the Ohio District U S Geological Survey written by and published by . This book was released on 1998 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Workbook for Preparing Surface Water Quality assurance Plans for Districts of the U S Geological Survey Water Resources Division written by Donald V. Arvin and published by . This book was released on 1995 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Quality written by Richard Y. Wang and published by . This book was released on 2014-01-15 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Data Quality written by Shazia Sadiq and published by Springer Science & Business Media. This book was released on 2013-08-13 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.
Download or read book Quality Assurance Project Plan for the Compliance Monitoring Program for Use and Operation of the Grassland Bypass Project written by and published by . This book was released on 2002 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quality assurance Plan for Water resources Activities of the U S Geological Survey in Montana 1995 written by Joe A. Moreland and published by . This book was released on 1995 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Toolkit for analysis and use of routine health facility data Integrated health services analysis written by World Health Organization and published by World Health Organization. This book was released on 2023-06-16 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document provides guidance on the integrated analysis and use, at district and facility levels, of data collected from health facilities through routine health information systems (RHIS). The guidance includes a sample set of indicators, with recommended ways of visualizing these indicators in standard dashboards, as well as guidance on interpretation and use of the indicators. Objectives: The guidanceillustrates integrated analysis of RHIS data at district and facility levels. It aims to build understanding and skills in a recommended analytic approach that: focuses on a minimum set of indicators organized into three cross-cutting groups; uses standard visualizations to facilitate data interpretation: charts and tables organized into integrated dashboards that can be automatically updated in an electronic database; supports use of dashboards for decision-making as part of district meetings, supervision visits and feedback to health facilities. Target audience: This guidance targets managers and analysts at the level of the district health system. It may also be useful to staff making operational decisions at any subnational level. The guidance may also be useful to implementing partners, donors, academics and others involved in using data to strengthen health service delivery at subnational levels.
Download or read book Toolkit for analysis and use of routine health facility data written by World Health Organization and published by World Health Organization. This book was released on 2023-04-21 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Water resources Investigations Report written by and published by . This book was released on 1998 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Meeting the Challenges of Data Quality Management written by Laura Sebastian-Coleman and published by Academic Press. This book was released on 2022-01-25 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses. - Describes the importance of high-quality data to organizations wanting to leverage their data and, more generally, to people living in today's digitally interconnected world - Explores the five challenges in relation to organizational data, including "Big Data," and proposes approaches to meeting them - Clarifies how to apply the core capabilities required for an effective data quality management program (data standards definition, data quality assessment, monitoring and reporting, issue management, and improvement) as both stand-alone processes and as integral components of projects and operations - Provides Data Quality practitioners with ways to communicate consistently with stakeholders
Download or read book Guidelines for Quality Control and Quality Assurance of Hydrologic and Meteorologic Data written by St. Johns River Water Management District (Fla.) and published by . This book was released on 2000 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Integrating Multiscale Observations of U S Waters written by National Research Council and published by National Academies Press. This book was released on 2008-05-16 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water is essential to life for humans and their food crops, and for ecosystems. Effective water management requires tracking the inflow, outflow, quantity and quality of ground-water and surface water, much like balancing a bank account. Currently, networks of ground-based instruments measure these in individual locations, while airborne and satellite sensors measure them over larger areas. Recent technological innovations offer unprecedented possibilities to integrate space, air, and land observations to advance water science and guide management decisions. This book concludes that in order to realize the potential of integrated data, agencies, universities, and the private sector must work together to develop new kinds of sensors, test them in field studies, and help users to apply this information to real problems.
