Data Item
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A Data Item is a machine-processable artifact that contains a data value (designed to support data processing and content management within information systems).
- AKA: Digital Item, Information Item, Data Element, Content Item.
- Context:
- Item Nature: data representation of real-world or abstract concepts
- Item Structure: data format and data organization
- Item Processing: data operations and data transformations
- Item Purpose: information delivery and content consumption
- ...
- It can typically contain Data Values through data encoding.
- It can typically support Data Operations through data interfaces.
- It can typically maintain Data Integrity through validation mechanisms.
- It can typically ensure Data Quality through quality checks.
- It can typically convey Content Message through content formats.
- ...
- It can often participate in Data Flows within system processes.
- It can often undergo Data Transformations for data processing.
- It can often require Data Validation for quality assurance.
- It can often support Data Analysis for information extraction.
- It can often enable Content Distribution through delivery channels.
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- It can range from being a Structured Data Item to being an Unstructured Data Item, depending on its data organization.
- It can range from being an Atomic Data Item to being a Composite Data Item, depending on its data composition.
- It can range from being a Simple Data Item to being a Complex Data Item, depending on its data complexity.
- It can range from being a Raw Data Item to being a Processed Data Item, depending on its processing state.
- It can range from being a Static Data Item to being a Dynamic Data Item, depending on its change frequency.
- It can range from being a Small Data Item to being a Large Data Item, depending on its data size.
- It can range from being a Low-Quality Data Item to being a High-Quality Data Item, depending on its data quality.
- It can range from being an Unclassified Data Item to being a Classified Data Item, depending on its security level.
- It can range from being a Technical Data Item to being a Creative Data Item, depending on its content nature.
- It can range from being a System Data Item to being a User Content Item, depending on its usage purpose.
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- Examples:
- Basic Data Type Items, such as:
- Numeric Data Items, such as:
- Integer Data Items, such as:
- Floating Point Data Items, such as:
- Text Data Items, such as:
- Character Data Items, such as:
- String Data Items, such as:
- Numeric Data Items, such as:
- Digital Content Items, such as:
- Text Content Items, such as:
- Article Content Items, such as:
- Documentation Content Items, such as:
- Rich Media Content Items, such as:
- Visual Content Items, such as:
- Audio Content Items, such as:
- Interactive Content Items, such as:
- Web Content Items, such as:
- Game Content Items, such as:
- Social Media Content Items, such as:
- Post Content Items, such as:
- Social Media Asset Items, such as:
- Text Content Items, such as:
- Structured Data Items, such as:
- Record Data Items, such as:
- Database Record Items, such as:
- System Record Items, such as:
- Collection Data Items, such as:
- Array Data Items, such as:
- Record Data Items, such as:
- Media Data Items, such as:
- Image Data Items, such as:
- Raster Image Items, such as:
- Vector Image Items, such as:
- SVG Item for scalable graphics.
- CAD Item for technical drawings.
- Image Data Items, such as:
- Content Collection Items, such as:
- Media Collection Items, such as:
- Image Gallery Items, such as:
- Video Collection Items, such as:
- Document Collection Items, such as:
- Media Collection Items, such as:
- ...
- Basic Data Type Items, such as:
- Counter-Examples:
- Physical Document, which is not machine-processable without digitization.
- Human Conversation, which requires natural language processing for data extraction.
- Abstract Concept, which needs data representation to become processable.
- Raw Signal, which requires signal processing for data conversion.
- Database System, which manages data items rather than being one.
- File System, which organizes data items rather than being one.
- Content Management System, which handles content items rather than being one.
- Content Delivery Network, which distributes content items rather than being one.
- See: Data Type, Data Structure, Data Format, Data Encoding, Data Processing, Data Quality, Data Validation, Data Transformation, Data Flow, Data Interface, Data Operation, Data Analysis, Data Storage, Data Management, Data Security, Data Integration, Content Type, Content Format, Content Management, Content Distribution, Content Creation, Content Processing, Content Quality, Content Validation.