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CDWA And VRA

There are two important Metadata standards designed for visual collections: CDWA and VRA.

CDWA stands for Categories for the Description of Works of Art, a metadata schema designed by of the Art Information Task Force (AITF), to "describe the content of art databases by articulating a conceptual framework for describing and accessing information about objects and images." It was released in February 1996.

This Metadata schema is very extensive and developed for use by art specialists. There are 26 main categories, and each category has its own set of subcategories. All the categories are fit into two groups: "Object, Architecture, or Group" as the information intrinsic to the work, and "Authorities/Vocabulary Control" as the information extrinsic to the work. CDWA also defines several core categories that are necessary to uniquely and unambiguously identify a particular work of art or museum object.


VRA Core Categories (current vision 3.0) is Visual Resources Association's approach of categorizing visual documents that represent objects of art or architecture. The VAR Core Categories provides a template designed but not limited to visual works collections. As VRA Data Standard Committee pointed, "CDWA was exhaustive in its list of elements needed to describe museum objects, it was not entirely satisfactory for the description of images, and in particular, did not cover all of the elements needed for the description of architecture and other site-specific works." There is a need to expand the concept to non-art objects and visual document for which VRA was created.

Compared with and Benefit from CDWA, VRA Core categories is designed to cover most visual materials. It does not have such comprehensive categories as CDWA. Similar to Dublin Core, It provides a core set of elements, which could be expanded by adding new elements as needed. VRA 3.0 contains 17 categories that can be used to describe both work and representations of the work (defined as images). It also borrows the concept of Qualifier to help describe and distinguish entities, clear the relationship between works and images, such as a photo of a work, and a digital image of that photo. Because of the characteristics of visual objects, it is recommended that develop additional elements for the local collections, set up controlled vocabularies in categories and use other Metadata sets such as CDWA, MARC for guidance.

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