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data_concept:data

Data

Definition

Data is a representation of facts, concepts, or instructions in a formalized manner, suitable for communication, interpretation, or processing by humans or by automatic means.

DMBOK2

Data represents facts/things other than itself. Data is both an interpretation of the objects it represents and an object that must be interpreted.

Note

Data is a business asset, while not tangible, it has value and can be managed.

Relation

Datais parent offile
Datais parent ofdataset
Datais child ofconcept
Datais child offact
Datais child ofinstruction

Characteristics

Life cycle

The life cycle of data in alphabetical order is:

  • Add data
  • Aggregate data
  • Align data
  • Analyse data
  • Annotate data
  • Anonymize data
  • Archive data
  • Arrange data
  • Apply data
  • Assess data
  • Audit data
  • Benchmark data
  • Blend data
  • Calculate data
  • Capture data
  • Categorize data
  • Change data
  • Classify data
  • Clean or cleans data (data cleansings)
  • Cluster data
  • Collect data
  • Compare data
  • Complete data
  • Compress data
  • Consolidate data
  • Consume data
  • Convert data
  • Copy data
  • Correlate data
  • Correct data
  • Create data
  • Cross-reference data
  • Decode data
  • Decrypt data
  • De-duplicate data
  • De-identify data
  • Delete data
  • Deliver data
  • Describe data
  • Design data (data design)
  • Detect data
  • Differentiate data
  • Disaggregate data
  • Disponse data
  • Distribute data
  • Dispose data
  • Encode data
  • Encrypt data
  • Enrich data
  • Evaluate data
  • Expand data
  • Export data
  • Extract data
  • Extrapolate data
  • Filter data
  • Forecast data
  • Generate data
  • Group data
  • Harmonize data
  • Highlight data
  • Identify data
  • Import data
  • Impute data
  • Index data
  • Infer data
  • Insert data
  • Integrate data (data integration}
  • Interpolate date
  • Interpret data
  • Isolate data
  • Link data
  • Locate data
  • Maintain data
  • Map data
  • Merge data
  • Migrate data
  • Mine data
  • Model data (data modeling | data model)
  • Monetize data
  • Move data
  • Normalize data
  • Observe data
  • Optimize data
  • Organize data
  • Partition data
  • Present data
  • Process data
  • Procure data
  • Protect data
  • Pseudonymize data
  • Publish data
  • Reconcile data
  • Record data
  • Reformat data
  • Regulate data
  • Report data
  • Retain data
  • Reuse data
  • Review data
  • Secure data (data security)
  • Segment data
  • Share data
  • Standardize data
  • Store data (data storage | data store)
  • Stucture data (data structuring | data structure)
  • Summarize data
  • Use data
  • Validate data
  • Verify data
  • Visualize data

References

DAMA NL (2020). Data concepts for Data Quality Dimensions (DSC). Research paper. https://www.dama-nl.org/wp-content/uploads/2020/09/DCS-Data-Concept-System-DDQ-Research-Paper-version-1.2-d.d.-3-Sept-2020.pdf

ISO 2382-4.Information technology — Vocabulary — Part 4: Organization of data.

data_concept/data.txt · Last modified: 2024/07/26 14:10 by peter