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data_concept:data [2023/09/26 16:15]
peter
data_concept:data [2024/03/08 13:33]
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-=====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: 
-  * 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 
-  * Categorize data 
-  * Change data 
-  * Clean data 
-  * Cluster data 
-  * Collect data 
-  * Compare data 
-  * Complete data 
-  * Compress data 
-  * Consume data 
-  * Convert data 
-  * Copy data 
-  * Correlate 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 
-  * 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 
-  * Integrate data 
-  * Interpolate date 
-  * Interpret data 
-  * Isolate data 
-  * Link data 
-  * Locate data 
-  * Map data 
-  * Merge data 
-  * Migrate data 
-  * Mine data 
-  * Model data ([[data_management/data_modeling|data modeling]]) 
-  * Move data 
-  * Normalize data 
-  * Observe data 
-  * Optimize data 
-  * Organize data 
-  * Partition data 
-  * Process data 
-  * Procure data 
-  * Protect data 
-  * Pseudonymize data 
-  * Publish data 
-  * Reconcile data 
-  * Record data 
-  * Reformat data 
-  * Regulate data 
-  * Report data 
-  * Review data 
-  * Secure data 
-  * Segment data 
-  * Standardize data 
-  * Store data ([[data_management:data_storage|data storage]]} 
-  * Stucture data 
-  * 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: 2024/03/08 13:33 (external edit)