Literature DB >> 24220829

Quality assurance and quality control in monitoring programs.

W J Shampine1.   

Abstract

There are three general characteristics of the data to be collected in a monitoring program that should be met in order to maximize the use and value of the data: the data quality should be known, the data type and quality should be consistent and comparable, and the data should be available and accessible. Potential problems with each of these characteristics are addressed effectively by quality assurance and quality control. One of the most important aspects of quality assurance in a monitoring program is the development of a quality assurance plan, which should identify clearly the quality of the data needed and describe in detail the planned actions to provide confidence that the program will meet its stated objectives.Quality control data, which allow for the quality and suitability of the environmental data to be evaluated and ascertained, should be collected and utilized as an integral part of the QA effort associated with a monitoring program.

Year:  1993        PMID: 24220829     DOI: 10.1007/BF00547492

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  5 in total

1.  Evaluation of data quality in lichen biomonitoring studies: the Italian experience.

Authors:  Giorgio Brunialti; Paolo Giordani; Deborah Isocrono; Stefano Loppi
Journal:  Environ Monit Assess       Date:  2002-05       Impact factor: 2.513

2.  Towards a long-term integrated monitoring programme in Europe: network design in theory and practice.

Authors:  T W Parr; M Ferretti; I C Simpson; M Forsius; E Kovács-Láng
Journal:  Environ Monit Assess       Date:  2002-09       Impact factor: 2.513

3.  The role of metadata and strategies to detect and control temporal data bias in environmental monitoring of soil contamination.

Authors:  André Desaules
Journal:  Environ Monit Assess       Date:  2011-12-23       Impact factor: 2.513

4.  Evaluation of metric precision for a riparian forest survey.

Authors:  Jerry R Barker; Michael Bollman; Paul L Ringold; Jennifer Sackinger; Steven P Cline
Journal:  Environ Monit Assess       Date:  2002-04       Impact factor: 2.513

5.  Attributes of reliable long-term landscape-scale studies: Malpractice insurance for landscape ecologists.

Authors:  T J Stohlgren; D Binkley; T T Veblen; W L Baker
Journal:  Environ Monit Assess       Date:  1995-05       Impact factor: 2.513

  5 in total

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