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United states department of defense (DoD) real property repair, alterations, maintenance, and construction project contract data: 2009-2020.美国国防部(DoD)不动产维修、改建、维护及建设项目合同数据:2009 - 2020年
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引用本文的文献

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Global Contract-level Public Procurement Dataset.全球合同级公共采购数据集。
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Portuguese public procurement data for construction (2015-2022).葡萄牙建筑领域公共采购数据(2015 - 2022年)。
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美国国防部(DoD)不动产维修、改建、维护及建设项目合同数据:2009 - 2020年

United states department of defense (DoD) real property repair, alterations, maintenance, and construction project contract data: 2009-2020.

作者信息

Stout Tyler, Teston Adam, Langhals Brent, Delorit Justin, Hendrix Carlton, Schuldt Steven

机构信息

Department of Systems Engineering and Management, Air Force Institute of Technology, Wright-Patterson AFB, OH 45433, United States.

Technical Services Division, Facility Engineering Directorate, Air Force Civil Engineer Center, JBSA-Lackland, TX 78236, United States.

出版信息

Data Brief. 2020 Aug 5;32:106128. doi: 10.1016/j.dib.2020.106128. eCollection 2020 Oct.

DOI:10.1016/j.dib.2020.106128
PMID:32904451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7452689/
Abstract

Nearly one-half of all construction projects exceed planned costs and schedule, globally [1]. Owners and construction managers can analyze historical project performance data to inform cost and schedule overrun risk-reduction strategies. Though, the majority of open-source project datasets are limited by the number of projects, data dimensionality, and location. A significant global customer of the construction industry, the Department of Defense (DoD) maintains a vast database of historical project data that can be used to determine the sources and magnitude of construction schedule and cost overruns for many continental and international locations. The selection of data provided by the authors is a subset of the U.S. Federal Procurement Data System-Next Generation (FPDS-NG), which stores contractual obligations made by the U.S. Federal Government [2]. The data comprises more than ten fiscal years (1 Oct 2009 - 04 June 2020) of construction contract attributes that will enable researchers to investigate spatiotemporal schedule and cost performance by, but not limited to: contract type, construction type, delivery method, award date, and award value. To the knowledge of the authors, this is the most extensive open-source dataset of its kind, as it provides access to the contract data of 132,662 uniquely identified construction projects totaling $865 billion. Because the DoD's facilities and infrastructure construction requirements and use of private construction firms are congruent with the remainder of the public sector and the private sector, results obtained from analyses of this dataset may be appropriate for broader application.

摘要

全球范围内,几乎一半的建设项目都超出了计划成本和工期[1]。业主和施工经理可以分析项目历史绩效数据,以制定降低成本和工期超支风险的策略。然而,大多数开源项目数据集受到项目数量、数据维度和地理位置的限制。国防部作为建筑业的一个重要全球客户,维护着一个庞大的历史项目数据库,可用于确定许多大陆和国际地点的建设工期和成本超支的来源及规模。作者提供的数据选自由美国联邦采购数据系统下一代(FPDS-NG)存储的美国联邦政府合同义务的一个子集[2]。这些数据包含超过十个财政年度(2009年10月1日至2020年6月4日)的建筑合同属性,使研究人员能够通过但不限于合同类型、建筑类型、交付方式、授予日期和授予价值来调查时空工期和成本绩效。据作者所知,这是同类中最广泛的开源数据集,因为它提供了132,662个唯一标识的建设项目的合同数据访问权限,总计8650亿美元。由于国防部的设施和基础设施建设要求以及对私营建筑公司的使用与公共部门和私营部门的其余部分一致,从该数据集分析中获得的结果可能适用于更广泛的应用。