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TRANSLATOR Database-A Vision for a Multi-Institutional Research Network.

Manlik Kwong1, Heather L Gardner2, Neil Dieterle3

  • 1Tufts Medical Center, Boston, MA, USA.

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PubMed
Summary
This summary is machine-generated.

The CTSI One Health Alliance (COHA) network created a Big Data infrastructure for veterinary research. This enables collaborative studies using pooled electronic health records and publications, advancing translational medicine.

Keywords:
COHAelectronic health recordinfrastructureveterinary

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Area of Science:

  • Veterinary Medicine
  • Translational Research
  • Health Informatics

Background:

  • The CTSI One Health Alliance (COHA) network was established to facilitate collaborative research.
  • There was a need for a robust information technology infrastructure to support "Big Data" initiatives in veterinary medicine.

Purpose of the Study:

  • To describe the design, implementation, and dissemination of a collaborative IT infrastructure for veterinary research.
  • To introduce the COHA public/member website and the COHA Research Workbench application.

Main Methods:

  • Development of the TRANSLATOR (TRanslational ANimal Shared ColLAboraTive Observational Research) infrastructure.
  • Establishment of a federated research-capable network for pooling large datasets.
  • Creation of a public-facing website for knowledge dissemination and collaboration.

Main Results:

  • The COHA network provides the necessary infrastructure for "Big Data" collaborative research in veterinary medicine.
  • The TRANSLATOR system forms the foundation for a federated network capable of integrating electronic health records and publications.
  • A public website and research application have been launched to support the veterinary research community.

Conclusions:

  • The COHA network and its associated infrastructure, including TRANSLATOR, are foundational for advancing collaborative, Big Data-driven translational research in veterinary medicine.
  • The initiative aims to foster collaboration and disseminate knowledge among veterinary clinicians, scientists, and the broader medical research community.