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The Common Provenance Model: Capturing Distributed Provenance in Life Sciences Processes.

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Summary
This summary is machine-generated.

Researchers created a Common Provenance Model to unify scattered experimental data. This model improves reproducibility and data reusability by enabling continuous provenance chains for digital and physical research materials.

Keywords:
Common Provenance ModelProvenance CompositionProvenance informationW3C PROVdistributed processes

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Area of Science:

  • Computer Science
  • Information Science
  • Scientific Research Methodology

Background:

  • Modern research is increasingly distributed, necessitating robust methods for data collection and sharing.
  • Current approaches to recording provenance information are fragmented, creating data silos and hindering reproducibility.
  • Lack of interoperability in provenance data limits the quality and reusability of research results.

Purpose of the Study:

  • To address the fragmentation of provenance information in scientific research.
  • To develop a standardized model for generating interoperable provenance data.
  • To facilitate the reconstruction and navigation of continuous provenance chains.

Main Methods:

  • Development of the Common Provenance Model based on W3C PROV Data Model.
  • Incorporation of the Provenance Composition pattern into the model.
  • Establishment of guidelines for generating provenance information.

Main Results:

  • The Common Provenance Model provides a unified framework for provenance data.
  • The model enables the creation of interoperable provenance information.
  • The first version of the model is available online, supporting continuous provenance chains.

Conclusions:

  • The Common Provenance Model offers a solution to the challenge of fragmented provenance data.
  • Implementation of the model can enhance experimental reproducibility and data reusability.
  • Standardized provenance tracking is crucial for the advancement of distributed research.