FPDS Query Library
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Description of Contract Requirement

Free-text description of the contract requirement associated with the IDV record. It captures the human-readable requirement statement used to describe what was being acquired or what need the instrument was intended to satisfy.

Family: IDV
Category: Contract Data
Data Type: string
Semantic Type: attribute
Mapping: flattened_fpds_xml_field
AI Confidence: high

Variable Overview

FPDS Query Variable
content__IDV__contractData__descriptionOfContractRequirement
Title
Description of Contract Requirement
FPDS Path
IDV/contractData/descriptionOfContractRequirement
Description
Free-text description of the contract requirement associated with the IDV record. It captures the human-readable requirement statement used to describe what was being acquired or what need the instrument was intended to satisfy.
Business Meaning
This field helps analysts understand the acquisition purpose behind an IDV and distinguish similar instruments by mission need, scope, or service category. It is useful for clustering awards, reviewing requirement language, and supporting spend analysis where formal codes are too coarse or missing.
Example Value
MIGRATED DATA VALUE UNKNOWN
Observed Non-Null Count
4,291,385

FPDS Compare

FPDS Query Variable
content__IDV__contractData__descriptionOfContractRequirement
FPDS XML Path
IDV/contractData/descriptionOfContractRequirement
Mapping Type
flattened_fpds_xml_field
Comparison Summary
FPDS Query flattens the original nested FPDS XML path 'IDV/contractData/descriptionOfContractRequirement' into the SQL-ready variable 'content__IDV__contractData__descriptionOfContractRequirement'.

Use Cases

  • Dictionary lookup and field explanation
  • SQL filtering and grouping
  • Analytical reporting and reusable query building

Common Usage

  • Text search for requirement themes and scope
  • Grouping similar IDVs by mission or service description
  • Manual validation of procurement purpose
  • Supporting natural-language analysis of award descriptions

Common Mistakes

  • Assuming the text is standardized across records
  • Using it as a substitute for coded classification fields

Query Guidance

Use string matching, full-text search, or regex on this field for descriptive analysis. In SQL, combine it with coded attributes for filtering, and normalize case and whitespace when comparing values; avoid exact-match logic unless you have verified consistent data entry.

SQL Examples

Preview values

SELECT
    content__IDV__contractData__descriptionOfContractRequirement AS description_of_contract_requirement
FROM fpds.data
WHERE content__IDV__contractData__descriptionOfContractRequirement IS NOT NULL
LIMIT 25

Top values

SELECT
    content__IDV__contractData__descriptionOfContractRequirement AS value,
    count() AS record_count
FROM fpds.data
WHERE content__IDV__contractData__descriptionOfContractRequirement IS NOT NULL
GROUP BY value
ORDER BY record_count DESC
LIMIT 25

Each dictionary item includes SQL-ready examples generated alongside the variable metadata, allowing immediate use in FPDS Query for filtering, aggregation, and analysis.