Atributima

Atributima is a coined term used in information science to refer to the collection of attributes that describe an object, process, or entity within a data model, metadata framework, or knowledge representation. It denotes the curated set of properties that can be used to identify, classify, and reason about an item.

The term appears as a neologism formed from attribute and the suffix -ima, sometimes used by authors to emphasize the aggregated nature of descriptors rather than individual fields. It is not a standard term in formal vocabularies, but it is encountered in discussions about attribute-centric design.

In data modeling, a atributima corresponds to the attribute set of an entity type. In ontologies, it aligns with the data properties of a class; in metadata schemas, it defines the fields that describe records or resources.

Design considerations include choosing stable, meaningful attribute names, defining data types and domains, specifying constraints and optionality, and planning for indexing, normalization, and access control. A well-constructed atributima supports data quality, interoperability, and query performance.

Example: for a Product entity, a possible atributima would include product_id (integer, primary key), name (string), price (decimal), category (string), and available_stock (integer). Attributes may be mandatory or optional, and they can carry metadata such as units, precision, or validation rules.

See also: attribute, metadata, schema, ontology, data model, entity-relationship model.