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Data Citation: a Computational Challenge.

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Summary
This summary is machine-generated.

Data citation presents a computational challenge, drawing on database theory concepts like query answering and provenance. This study proposes a solution approach and identifies open research problems for data citation.

Keywords:
Data citationData provenanceQuery answering using views

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Area of Science:

  • Computer Science
  • Database Theory
  • Data Management

Background:

  • Data citation is crucial for scientific reproducibility and credit.
  • Existing database theory offers relevant concepts like query answering and provenance.
  • Computational challenges hinder effective data citation implementation.

Purpose of the Study:

  • To address the computational challenges in data citation.
  • To propose a novel approach for solving data citation problems.
  • To identify and discuss open research questions in data citation.

Main Methods:

  • Leveraging principles of query answering using views from database theory.
  • Applying provenance tracking mechanisms to datasets.
  • Developing a computational framework for data citation.

Main Results:

  • A proposed approach to tackle data citation challenges.
  • Identification of key areas for future research in data citation.
  • Demonstration of the applicability of database theory concepts.

Conclusions:

  • Data citation is a solvable computational problem using database theory.
  • Further research is needed in both practical and theoretical aspects of data citation.
  • The proposed approach provides a foundation for future data citation systems.