=====Data=====

===Definition===
Data is a representation of facts, [[data_concept/concept|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===
|Data|is parent of|[[data_concept/file|file]]|
|Data|is parent of|[[data_concept/dataset|dataset]]|
|Data|is child of|[[data_concept/concept|concept]]|
|Data|is child of|fact|
|Data|is child of|instruction|


===Characteristics ===
See [[overview/overview_data_quality_dimension|data quality dimensions]].

===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_quality_management_system/data_cleansing|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_management/data_design|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_management/data_integration|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_management/data_modeling|data modeling]] | [[data_quality_management_system:data_model|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_management:data_storage|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.

{{tag>All DMBoK2}}