FPDS Query Library
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Generic String01

A free-text string stored in the Award > Generic Tags > Generic Strings collection at position 01. It is a reusable attribute field for award-level metadata and may contain a date-like text value, label, code, or other analyst-defined content depending on the reporting workflow.

Family: Award
Category: Generic Tags
Data Type: string
Semantic Type: attribute
Mapping: flattened_fpds_xml_field
AI Confidence: high

Variable Overview

FPDS Query Variable
content__award__genericTags__genericStrings__genericString01
Title
Generic String01
FPDS Path
award/genericTags/genericStrings/genericString01
Description
A free-text string stored in the Award > Generic Tags > Generic Strings collection at position 01. It is a reusable attribute field for award-level metadata and may contain a date-like text value, label, code, or other analyst-defined content depending on the reporting workflow.
Business Meaning
This field matters because it can carry supplemental award metadata used for filtering, grouping, and custom procurement analysis when standard FPDS fields are not sufficient. Analysts often use it to support reusable business rules, downstream categorization, or project-specific tagging across awards.
Example Value
2024-12-13 00:00:00
Observed Non-Null Count
33,600,024

FPDS Compare

FPDS Query Variable
content__award__genericTags__genericStrings__genericString01
FPDS XML Path
award/genericTags/genericStrings/genericString01
Mapping Type
flattened_fpds_xml_field
Comparison Summary
FPDS Query flattens the original nested FPDS XML path 'award/genericTags/genericStrings/genericString01' into the SQL-ready variable 'content__award__genericTags__genericStrings__genericString01'.

Use Cases

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

Common Usage

  • Custom award tagging for segmentation or reconciliation
  • Filtering records in analyst-built workflows
  • Storing supplemental metadata for grouping or reporting

Common Mistakes

  • Assuming the field has a fixed federal meaning across all records
  • Treating the text as a true date or code without validating its format and source

Query Guidance

Use as a string filter or grouping key only after validating the actual values present in your extract. In SQL, inspect distinct values first, then apply exact-match, LIKE, or normalization logic as needed; avoid numeric or date casting unless the field has been consistently populated with parseable dates.

SQL Examples

Preview values

SELECT
    content__award__genericTags__genericStrings__genericString01 AS generic_string01
FROM fpds.data
WHERE content__award__genericTags__genericStrings__genericString01 IS NOT NULL
LIMIT 25

Top values

SELECT
    content__award__genericTags__genericStrings__genericString01 AS value,
    count() AS record_count
FROM fpds.data
WHERE content__award__genericTags__genericStrings__genericString01 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.