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Related Experiment Videos

Biological data integration: wrapping data and tools.

Zoé Lacroix1

  • 1Arizona State University, Tempe 85287-6106, USA. zoe.lacroix@asu.edu

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|June 22, 2002
PubMed
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Scientists can now access diverse digital data sources through a unified database view. This approach integrates data from files, databases, and web sources, simplifying data access and analysis for research.

Area of Science:

  • Computer Science
  • Data Management
  • Scientific Informatics

Background:

  • Scientific data is increasingly digital and stored across diverse, heterogeneous systems.
  • Scientists require integrated access to local and remote data sources for analysis and visualization.
  • Current methods for accessing varied data formats (files, databases, web documents, software outputs) are often fragmented.

Purpose of the Study:

  • To present a novel approach for seamlessly accessing and manipulating heterogeneous scientific data sources.
  • To develop a mechanism for creating a unified view of disparate data, including those with limited capabilities.
  • To enable the wrapping of both data sources and associated tools for enhanced data utilization.

Main Methods:

  • A database view mechanism is employed to wrap various data sources (web, databases, flat files, software outputs).

Related Experiment Videos

  • Wrappers consist of a retrieval component using an intermediate object view (search views) and an eXtensible Markup Language (XML) engine.
  • The search views map source capabilities to a virtual structure, enabling unified data access.

    • Main Results:

    • A generic view mechanism allows seamless access to data sources with limited capabilities.
    • The approach successfully wraps both data sources and specific tools they provide.
    • Demonstrated within a multidatabase system supporting queries via uniform object protocol model (OPM) interfaces.

    Conclusions:

    • The developed approach provides an integrated view of heterogeneous scientific data.
    • This facilitates advanced data accessing, analyzing, and visualization for scientists.
    • The system enhances data accessibility and usability by unifying diverse digital resources.