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Common data model for neuroscience data and data model exchange.

D Gardner1, K H Knuth, M Abato

  • 1Weill Medical College of Cornell University, and New York University School of Medicine, New York, NY 10021, USA. dan@aplysia.med.cornell.edu

Journal of the American Medical Informatics Association : JAMIA
|January 6, 2001
PubMed
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The Common Data Model (CDM) provides a framework for integrating diverse neuroscience data resources. This approach uses a hierarchical metadata scheme and XML-derived schemas like BDML to ensure data interoperability and compatibility across different systems.

Area of Science:

  • Neuroscience
  • Bioinformatics
  • Data Science

Background:

  • Neuroscience research generates vast, disparate data.
  • Existing data models lack a unified framework for integration.
  • Federating these resources is crucial for advancing research.

Purpose of the Study:

  • To propose a Common Data Model (CDM) for federating neuroscience information resources.
  • To establish a framework for generalizing data models from prototype databases.
  • To enable interoperability across diverse neuroscience data.

Main Methods:

  • Developed a Common Data Model (CDM) based on five superclasses: data, site, method, model, and reference.
  • Utilized a hierarchical attribute-value scheme for metadata.
  • Proposed XML-derived schemas, including Biophysical Description Markup Language (BDML), for data description and exchange.

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Main Results:

  • The CDM superclasses encompass a broad range of contemporary neuroscience data needs.
  • Data elements from time series and histogram data were abstracted.
  • Site elements were generalized to include subcellular compartments, circuits, regions, slices, and even patient sequences.

Conclusions:

  • Federating data resources necessitates explicit, public descriptions of their contents, query methods, formats, and models.
  • Interoperability is achievable through recognition of BDML-described compatibilities.
  • The proposed metadescriptions can adapt to technological advancements.