Why and Where: A Characterization of Data Provenance

@inproceedings{Buneman2001WhyAW,
  title={Why and Where: A Characterization of Data Provenance},
  author={Peter Buneman and Sanjeev Khanna and Wang Chiew Tan},
  booktitle={International Conference on Database Theory},
  year={2001}
}
With the proliferation of database views and curated databases, the issue of data provenance - where a piece of data came from and the process by which it arrived in the database - is becoming increasingly important, especially in scientific databases where understanding provenance is crucial to the accuracy and currency of data. In this paper we describe an approach to computing provenance when the data of interest has been created by a database query. We adopt a syntactic approach and present… 

A Copy-and-Paste Model for Provenance in Curated Databases

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Research Problems in Data Provenance

  • W. Tan
  • Computer Science
    IEEE Data Eng. Bull.
  • 2004
The problem of supporting data provenance in scientific database applications is motivated and the DBNotes prototype developed at UC Santa Cruz is described that can be used to “eagerly” trace the provenance and flow of relational data.

Provenance in Spatial Queries

This paper deals with the computation of How–, Why– and Where– provenance in spatial database queries and presents an evaluation of how the formalism and methods proposed to deal with general-purpose database queries behave when dealing with spatial data.

A Declarative Query Language for Data Provenance (Research Track)

This paper introduces a novel high-level structured query language, named ProvQL, which is suitable for seeking information related to data provenance, and treats provenance information as a first class citizen and allows formulating queries about the sources that contributed to data generation and the operations involved.

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This work contributes a conceptual model for data and provenance, and evaluates how well it addresses opportunities to make provenance easy to manage and query, and defines a benchmark suite with which to study performance of this model.

Language-integrated provenance

Provenance, or information about the origin or derivation of data, is important for assessing the trustworthiness of data and identifying and correcting mistakes. Most prior implementations of data

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The main aspect of the taxonomy categorizes provenance systems based on why they record provenance, what they describe, how they represent and storeprovenance, and ways to disseminate it can help those building scientific and business metadata-management systems to understand existing provenance system designs.

Tracing where and who provenance in Linked Data: A calculus

Provenance in a Modifiable Data Set

  • Jing ZhangH. Jagadish
  • Computer Science
    In Search of Elegance in the Theory and Practice of Computation
  • 2013
This chapter addresses two key problems in this context: provenance in the context of data modifications, and how data sources used for deriving results of interest are modified over time.

Provenance in Databases: Past, Current, and Future

  • W. Tan
  • Computer Science
    IEEE Data Eng. Bull.
  • 2007
An overview of research in provenance in databases is provided and some future research directions are discussed, based on the tutorial presented at SIGMOD 2007.
...

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