The amount of data being maintained by state departments of transportation (DOTs) and local transportation agencies is increasing steadily. Although data provide opportunities to facilitate decision making at transportation agencies, there are challenges involved in managing large and diverse data. This article provides an assessment of the maturity of three data management practice (stewardship, storage and warehousing, and integration) for 16 transportation data groups based on a survey of 43 DOTs in the United States. The assessment results show that data management practices at the monitoring and operations phases of transportation infrastructure life cycle are likely more mature than those at other phases. Inventory data, in particular, has the most mature data management practices. On the other end, real estate data and travel modeling data have the least mature data management practices. A comparison of the practices indicates that data stewardship is more mature than data integration and storage and warehousing practices.

中文翻译：

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交通基础设施数据管理实践评估说明

由州交通部门 (DOT) 和地方交通机构维护的数据量正在稳步增加。尽管数据提供了促进运输机构决策的机会，但在管理大量不同的数据方面存在挑战。本文基于对美国 43 个 DOT 的调查，对 16 个运输数据组的三种数据管理实践（管理、存储和仓储以及集成）的成熟度进行了评估。评估结果表明，交通基础设施生命周期监控和运营阶段的数据管理实践可能比其他阶段更成熟。尤其是库存数据，拥有最成熟的数据管理实践。在另一端，房地产数据和旅行建模数据的数据管理实践最不成熟。实践的比较表明，数据管理比数据集成和存储和仓储实践更成熟。