Concept
Raw Data
Data produced by operational, observational, transactional, spatial, document, sensor, and representation systems before it has been curated for reuse.
Position in the Trusted Data Framework
Raw Data
Living Graph View
Raw Data in the concept network
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Relationship Matrix
Raw Data as a network node
Often comes from digital representations of real-world assets, places, events, and processes.
Needs persistent identifiers before data from different systems can refer to the same thing.
Supplies the source material that the data platform cleans, connects, governs, and prepares for reuse.
Needs ownership, access, lifecycle, and quality controls before it can become trusted.
Concept Relationships
How Raw Data works with other concepts
Often comes from digital representations of real-world assets, places, events, and processes.
Needs persistent identifiers before data from different systems can refer to the same thing.
Supplies the source material that the data platform cleans, connects, governs, and prepares for reuse.
Needs ownership, access, lifecycle, and quality controls before it can become trusted.
Definition
Raw Data is produced close to source systems and observations. It may be valuable, but it has not yet been quality-checked, connected, governed, and prepared for reliable reuse.
Role in the Trusted Data Framework
Represents the data production side of the framework, sitting after observation, representation, and identity but before curated data.
Practical Examples
- ERP transaction
- GIS feature
- BIM export
- IoT reading
- Inspection record
- Document extract
Prototype Direction
- metadata-discovery
- ai-ready-assessment
Consulting Questions
- What problem does this concept help diagnose in the client environment?
- Which upstream concepts must be in place before this concept becomes reliable?
- What evidence would prove that this concept is working in practice?