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title DATA Act Data Dictionary

The Latest

June 30, 2017: Treasury released the DATA Act Information Model Schema (DAIMS) v1.1. DAIMS v1.1 is a minor update of the schema and will be implemented in September 2017. Find out more information at DAIMS v1.1 or its Data Dictionary v1.1.

DATA Act Information Model Schema Data Dictionary

Background

The DATA Act Information Model Schema (DAIMS; DATA Act Schema) provides an overall view of the hundreds of distinct data elements used to tell the story of how federal dollars are spent. The purpose of the data dictionary is to provide assistance in understanding the data elements within the DATA Act Schema.

The DATA Act directs the Office of Management and Budget (OMB) and the U.S. Treasury Department (Treasury) to establish government-wide data standards for federal funds and entities receiving such funds. The DAIMS will help to ensure that information is consistent and comparable and ultimately make data more accessible, reusable, and provide the necessary linkages between financial events. By making federal spending data accessible, searchable, reusable, and more reliable, the public can understand how government spending impacts their communities. The DATA Act Schema will also reduce the need for massive system changes across federal agencies to collect information and allow agencies to focus on managing data.

DATA Act Schema Data Dictionary (v1.01)

Column Headings

Grouping — Agencies report data in certain groupings.

  • File A – Appropriations Account Detail
  • File B – Object Class and Program Activity Detail
  • File C – Award and Financial Detail
  • File D1 – Award and Awardee Attributes (Procurement)
  • File D2 – Award and Awardee Attributes (Financial Assistance)
  • File E – Additional Awardee Attributes
  • File F – Sub-award Attributes

Data Element Label — The name of an element in the DATA Act Schema.

Definition — The business definition for the element.

Use — Is this element required?

  • Required – Element must be present.
  • Optional – Element may be included but is not required.
  • Conditional per Validation Rule – Element may be needed based on a validation rule.
  • Conditional per Award Type – Element may be needed based on the type of award.
  • Derived – Element content is obtained from the content of another element. For example, ZIP code is used to derive city and state.
  • Extracted – Element is pulled from another source.

Data Category — Some elements are part of a category of elements.

{% for element in site.data.elements %} {% endfor %}
Grouping Data Element Label Definition Use Data Category
{{ element.file }} {{ element.DataElementLabel }} {{ element.Definition }} {{ element.RequiredOptional }} {{element.DataCategory}}