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A Survey Of Data Provenance Techniques.pdf

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Preview of A Survey of Data Provenance Techniques
🔗 Source: cs.indiana.edu
📊 Size: 358 KB
👤 Author: ysimmhan
⬇️ Downloads: 118

Summary

Data provenance is metadata describing the derivation history of a data product, essential for disambiguating data and enabling reuse. It pertains to the origins of data and the process by which it arrived, allowing scientists to ascertain data quality, track errors, and provide attribution. A taxonomy of data provenance techniques categorizes systems based on why they record provenance, what they describe, how they represent and store provenance, and ways to disseminate it. The survey applies this taxonomy to current research efforts, identifying open research problems and challenges in managing provenance, which is crucial in scientific and business domains where data is generated and used in complex transformations and workflows.

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Description

Data provenance is metadata describing the derivation history of a data product, essential for disambiguating data and enabling reuse.

Technical Information

  • File Format: PDF
  • File Size: 358 KB
  • Pages: 25
  • Language: EN
  • Author: ysimmhan
  • Total Downloads: 118
  • Last Updated: 7 days ago

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This PDF document about A Survey of Data Provenance Techniques provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into A Survey of Data Provenance Techniques.

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Survey guideSurvey tutorialData guideData tutorialProvenance guideProvenance tutorialTechniques guideTechniques tutorial

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