Implementing the Freight Transportation Data Architecture: Data Element Dictionary (2015) / Chapter Skim
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26 C H A P T E R 4 4.1 Introduction Public and private agencies collect data relating to freight transport to meet their specific needs. This study identified 42 data sources, comprising 31 public sources and 11 commercially available sources (Table 4-1 and 4-2)
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Inventory of Freight Data Sources, Dictionaries, and Glossary Terms 27 Public Freight Data Source Agency 1 Air Carrier Statistics U.S. DOT - RITA - BTS 2 Annual Survey of Manufacturers U.S.
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Clockwise from top: FAF3, Transborder, Carload Waybill Sample, Air Carrier Statistics. Figure 4-1.
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Inventory of Freight Data Sources, Dictionaries, and Glossary Terms 29 Figure 4-2. BTS and EIA glossaries.
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30 Implementing the Freight Transportation Data Architecture: Data Element Dictionary • As adopted for this report, the term data element is defined by the Federal Standard 1037C as "a named identifier of each of the entities and their attributes that are represented in a database" (General Services Administration 1996)
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Inventory of Freight Data Sources, Dictionaries, and Glossary Terms 31 Public and Commercial Data Sources Number of Tables Number of Elements 1 Air Carrier Statistics 12 504 2 Air Carrier Financial Reports 12 478 3 Annual Survey of Manufacturers 4 62 4 Border Crossing/Entry 1* 5 5 CTA Intermodal Terminals Database 2 12 6 Carload Waybill Sample 2 252 7 Commodity Flow Survey 2 18 8 County Business Patterns 7 322 9 Fatality Analysis Reporting System 18 310 10 Federal Railroad Administration Safety Database 6 503 11 Foreign Trade 32 389 12 Freight Analysis Framework 2 70 13 Highway Performance Monitoring System 2 117 14 IHS Transearch 2 30 15 Motor Carrier Management Information System 22 358 16 Motor Carrier Safety Measurement System 1*
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32 Implementing the Freight Transportation Data Architecture: Data Element Dictionary Field Description 1 Data Source The data source name (e.g., Air Carrier Statistics, FAF, Foreign Trade, etc.)
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Inventory of Freight Data Sources, Dictionaries, and Glossary Terms 33 Data Type Description 1 Nominal Fields whose values exist in name only and can be counted but not measured. Examples include texts, labels, categories, highway number, city name, commodity code, zip code, and contact information.
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