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Requirements for data integration platforms in biomedical research networks: a reference model.

Matthias Ganzinger1, Petra Knaup1

  • 1Institute of Medical Biometry and Informatics, Heidelberg University , Heidelberg , Germany.

Peerj
|February 21, 2015
PubMed
Summary
This summary is machine-generated.

Biomedical research networks require robust IT infrastructure for data sharing. This study presents a reference model to guide the efficient acquisition of project-specific IT requirements, exemplified by a liver cancer research network.

Keywords:
Biomedical informaticsData integrationReference modelResearch networkService-oriented architecture

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Area of Science:

  • Biomedical Informatics
  • Health Services Research

Background:

  • Biomedical research networks necessitate integrated data sharing among members and external partners.
  • Establishing adequate information technology (IT) infrastructure is crucial for effective data sharing.

Purpose of the Study:

  • To develop a reference model for IT infrastructure requirements to facilitate data sharing in biomedical research networks.
  • To provide a framework for resource-efficient acquisition of project-specific IT requirements.

Main Methods:

  • Development of a reference model comprising five reference goals and 15 reference requirements.
  • Utilization of the Unified Modeling Language (UML) to establish relationships between goals and requirements.
  • Textual description of goals and requirements in tables.
  • Application of the reference model to a specific liver cancer research network.

Main Results:

  • A comprehensive reference model for IT infrastructure requirements was developed.
  • The model was successfully instantiated for a liver cancer research network, creating a specific requirements model.
  • A service-oriented IT architecture was derived based on the concrete requirements model.

Conclusions:

  • The proposed reference model aids research networks in efficiently acquiring necessary IT infrastructure.
  • The model provides a structured approach to defining and implementing IT requirements for data integration and sharing.
  • The derived service-oriented architecture offers a practical solution for implementing IT infrastructure in research networks.