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DATA BUSINESS PLANS AND GOVERNANCE PROGRAMS - ALIGNING TRANSPORTATION DATA TO AGENCY STRATEGIC OBJECTIVES

机译:数据业务计划和治理计划-将运输数据与机构战略目标联系起来

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The Moving Ahead for Progress in the 21st Century Act (MAP-21) established a performance3based transportation program to address safety, asset infrastructure, traffic congestion, the efficiency of the transportation system and freight movement, the environment, and delays in project delivery. Transportation data is an essential ingredient in addressing these challenges. Data is a valued asset, but at the same time carries a significant risk – bad data can lead to ineffective planning and ultimately to poor agency business decisions. An effective transportation data business plan coupled with institutional data governance can mitigate the risk by providing an approach for delivering comprehensive, quality data. Better data provides better information, which in-turn results in informed decisions. A data business plan with an established data governance environment can lead to proactive rather than reactive decisions on data programs. Many state Departments of Transportation have embraced and are beginning to apply concepts and best practices in overall data management. However, the terms and application of them are not mainstreamed and are not assimilated into the transportation agency culture. This paper provides the context for data management, data governance, and data stewardship; a business need for establishing data governance within a transportation agency; the key features to be considered for a data business plan; approaches to developing a data governance program, and finally a process for evaluating data programs and the data governance environment.
机译:《迈向21世纪进步法案》(MAP-21)确立了表演3 为基础的运输计划,以解决安全,资产基础设施,交通拥堵, 运输系统和货运的效率,环境以及运输延误 项目交付。运输数据是应对这些挑战的重要组成部分。 数据是有价值的资产,但同时也带来重大风险-不良数据可能导致 无效的计划并最终导致不良的业务决策。有效的 运输数据业务计划与机构数据治理相结合可以降低风险 通过提供一种提供全面,高质量数据的方法。 更好的数据可以提供更好的信息,从而可以做出明智的决策。一种 具有已建立的数据治理环境的数据业务计划可以导致主动而不是 而不是对数据程序做出反应性决策。许多州交通运输部 接受并开始在整体数据管理中应用概念和最佳实践。 但是,它们的术语和应用没有被主流化,也没有被同化为 运输代理文化。 本文提供了数据管理,数据治理和数据的上下文 管家在运输机构内部建立数据治理的业务需求;这 数据业务计划应考虑的关键功能;开发数据的方法 治理程序,最后是评估数据程序和数据治理的过程 环境。

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