US FEA DRM
(Federal Enterprise Architecture Data Reference Model)
Released by the U.S. Office of Management and Budget (OMB), the Federal Enterprise Architecture (FEA) Data Reference Model (DRM)
The FEA DRM was developed in conjunction with a 124-member Working Group comprised of 30 U.S. federal agencies in all three primary areas of government (civil, defense, and intelligence).
It is a companion to four other FEA reference models "designed to facilitate cross-agency analysis and theentification of duplicative investments, gaps, and opportunities for collaboration within and across Federal Agencies."* These other Federal Enterprise Architecture models include: the Business Reference Model (BRM), the Service Component Reference Model (SRM), the Technical Reference Model (TRM), and the Performance Reference Model (PRM).
Together, these FEA reference models comprise "a set of interrelated reference models [which] collectively comprise a framework for describing important elements of the FEA in a common and consistent way. Through the use of this common framework and vocabulary, IT portfolios can be better managed and leveraged across the federal government." *
"The Data Reference Model (DRM) describes, at an aggregate level, the data and information supporting government program and business line operations. This model enables agencies to describe the types of interaction and exchanges occurring between the Federal government and citizens.
The DRM categorizes government information into greater levels of detail. It also establishes a classification for Federal data andentifies duplicative data resources. A common data model will streamline information exchange processes within the Federal government and between government and external stakeholders." *
* all quotes from the OMB
The DRM includes three standardization areas:
Data Description This area provides a means to uniformly describe data. It is designed to supporting data discovery and sharing
Data Context This area facilitates discovery of data through the categorization of data according to taxonomies. It also enables the definition of authoritative data assets within a community of interest (COI).
Data Sharing This area supports the access and exchange of data for ad-hoc requests and fixed, re-occurring transactions between parties
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