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Author: United States. Environmental protection agency. Office of environmental information (Washington DC).
Publisher: DIANE Publishing
ISBN: 1428904131
Category :
Languages : en
Pages : 74
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Book Description
Author: United States. Environmental protection agency. Office of environmental information (Washington DC).
Publisher: DIANE Publishing
ISBN: 1428904131
Category :
Languages : en
Pages : 74
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Environmental sciences
Languages : en
Pages :
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: United States Environmental Protection Agency (EPA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722797423
Category :
Languages : en
Pages : 120
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Book Description
Guidance on Systematic Planning Using the Data Quality Objectives Process EPA QA/G-4
Author:
Publisher:
ISBN:
Category : Sampling (Statistics)
Languages : en
Pages : 68
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Book Description
Author:
Publisher: DIANE Publishing
ISBN: 1428903267
Category :
Languages : en
Pages : 136
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Author: United States. Office of Environmental Information
Publisher:
ISBN:
Category : Environmental monitoring
Languages : en
Pages : 121
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
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Book Description
For the past several years the US Environmental Protection Agency (EPA) has been attempting to streamline and increase the efficiency of field data collection programs, especially Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) Remedial Investigation (RI) programs, by encouraging project managers to develop Data Quality Objectives (DQOs) prior to sampling. The DQO process is a strategic planning approach that is used to prepare for a data collection activity. It provides a systematic procedure for defining the criteria that a data collection design should satisfy, including when to collect samples, where to collect samples, the tolerable level of decision errors for study, and how many samples to collect. It is important to note that DQOs are developed through a process that ties data collection to specific problems and decisions.
Author: David Loshin
Publisher: Elsevier
ISBN: 0080920349
Category : Computers
Languages : en
Pages : 423
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Book Description
The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.
Author: Henry L. Longest
Publisher:
ISBN:
Category :
Languages : en
Pages : 121
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Book Description
