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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 - 将运输数据与代理战略目标对准

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The Moving Ahead for Progress in the 21st Century Act (MAP-21) established a performance3 based 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:在21世纪的行动(MAP-21)进展前进的进展,建立了一个基于Performance3的运输计划,以解决安全,资产基础设施,交通拥堵,运输系统的效率和运费,环境和项目交付延误。运输数据是解决这些挑战的重要成分。数据是一项有价值的资产,但同时携带大量风险 - 不良数据可能导致无效的规划,最终达到贫困的机构业务决策。加上机构数据治理的有效交通数据业务计划可以通过提供提供全面的质量数据的方法来减轻风险。更好的数据提供更好的信息,从而导致明智的决策。具有既定数据治理环境的数据业务计划可能会导致数据程序的主动而不是反应决策。许多国家交通部门已接受并开始在整体数据管理中应用概念和最佳实践。但是,它们的条款和申请并未被纳入主流,并且不会被融化为运输代理文化。本文提供了数据管理,数据治理和数据管理的背景;企业需要在运输机构内建立数据治理;用于数据业务计划的关键功能;开发数据治理程序的方法,最后是评估数据程序和数据治理环境的过程。

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