000			03268cam a22004097a 4500
001			15799073
005			20250520130309.0
008			090630s2008 sz d b 000 0 eng d
010			_a 2009447410
020			_a9789241563765
020			_a9241563761
035			_a(OCoLC)ocn316014692
040			_aBTCTA _cBTCTA _dYDXCP _dTPH _dSDB _dCOD _dBWX _dDLC
042			_alccopycat
060	1	4	_aQT 140 2008IN
082	0	4	_a615.902 _222
110	2		_aWorld Health Organization.
245	1	0	_aUncertainty and data quality in exposure assessment / _cWorld Health Organization.
260			_aGeneva : _bWorld Health Organization, _cc2008.
300			_axiii, 158 p. : _bcharts ; _c30 cm.
490	1		_aIPCS harmonization project document ; _vno. 6
500			_aCover title.
500			_a"Published under the joint sponsorship of the World Health Organization, the International Labour Organization and the United Nations Environment Programme, and produced within the framework of the Inter-Organization Programme for the Sound Management of Chemicals"--P. [i].
504			_aIncludes bibliographical references.
505	2		_apt. 1. Guidance document on characterizing and communicating uncertainty in exposure assessment. Introduction -- Context, concepts and definitions -- Sources of uncertainty -- Tiered approach to uncertainty analysis -- Uncertainty characterization methods, interpretation and use -- Communication -- Conclusions -- pt. 2. Hallmarks of data quality in chemical exposure assessment. Introduction -- What do we mean by "data" in exposure assessment? -- From exposure data quality to the quality of exposure assessments -- Conclusions.
520			_aAssessment of human exposure to chemicals is a critical input to risk assessment and ultimately to decisions about control of chemicals. This two-part publication aims to improve the quality of information available to decision-makers and its communication. Part one sets out ten principles for characterizing and communicating uncertainty in exposure assessment. A tiered approach to the evaluation of uncertainties using both qualitative (simple) and quantitative (more complex) methods is described. Different sources of uncertainty are identified, and guidance is provided on selecting the appropriate approach to uncertainty analysis, as dictated by the objectives of the assessment and information needs of decision-makers and stakeholders. Part two addresses the quality of data used in exposure assessment, and sets out four basic hallmarks of data quality - appropriateness, accuracy, integrity and transparency. These hallmarks provides a common vocabulary and set of qualitative criteria for use in the design, evaluation and use of exposure assessments to support decisions.--Publisher's description.
650		0	_aEnvironmental health.
650		0	_aHealth risk assessment.
650		0	_aUncertainty.
650	1	2	_aEnvironmental Exposure.
650	1	2	_aRisk Assessment _xstandards.
650	1	2	_aUncertainty.
650	1	2	_aData Collection _xstandards.
710	2		_aInter-Organization Programme for the Sound Management of Chemicals.
856	4	1	_uhttp://whqlibdoc.who.int/publications/2008/9789241563765_eng.pdf _zConnect to online resource
942			_2ddc _cMO
999			_c25685 _d25685