数据标准是次要因素！将信息质量纳入质量保证项目计划的方法。

Data standards are back seat drivers! Methodology for incorporating information quality into quality assurance project plans.

作者信息

Johnson L, Worthington J C

机构信息

USEPA National Exposure Research Laboratory, Cincinnati, Ohio 45268, USA.

出版信息

Qual Assur. 2000 Jul-Dec;8(3-4):195-9. doi: 10.1080/10529410052852358.

DOI:10.1080/10529410052852358

PMID:12008888

Abstract

Quality assurance project plans for environmental data collections consider user requirements for the measurements and express these in the form of data quality objectives. User requirements now may include capture of measurements and associated information in prescribed formats to facilitate entry into computerized information systems. Establishing ahead of time that the data requirements may be an important "back seat driver" for an environmental collection effort can save considerable resources for an organization. Also, the planning may need to accommodate unique requirements associated with the entry of data into data collection systems.

摘要

环境数据收集的质量保证项目计划会考虑用户对测量的要求，并将这些要求以数据质量目标的形式表达出来。现在，用户要求可能包括以规定格式捕获测量数据及相关信息，以便于录入计算机信息系统。提前确定数据要求可能是环境收集工作的一个重要“幕后推动因素”，可为组织节省大量资源。此外，规划可能需要适应与将数据录入数据收集系统相关的独特要求。