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Updated: Apr 28, 2026

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Toward a Common Set of Interface Requirements for Genomic Data Management: Scoping Review.

Valeria Resendez1, Funda Yıldırım1, Eugenio Gaeta2

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Summary

This scoping review identified key functional and nonfunctional requirements for health and genomic data management platforms. These insights inform the design of systems supporting secure data sharing and analysis in clinical settings.

Keywords:
data sharingelectronic health recordsfunctional requirementsgenomicsinterfacesnonfunctional requirements

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Area of Science:

  • Health Informatics
  • Genomic Data Management
  • Precision Medicine

Background:

  • Genomic data integration with healthcare data is crucial for advancing precision medicine.
  • Managing large volumes of sensitive health and genomic data presents significant challenges.
  • Unified digital ecosystems are needed to streamline data collection, standardization, analysis, and governance.

Purpose of the Study:

  • To identify frequently discussed functional and nonfunctional requirements for health and genomic data management platforms.
  • To inform the design of platforms supporting data sharing and analysis in clinical settings.
  • To conduct a scoping review using the PRISMA-ScR methodology.

Main Methods:

  • Searched peer-reviewed English studies from 2014-2024 in major databases (Scopus, PubMed, Web of Science, Google Scholar).
  • Focused on user-centered perspectives of platforms for managing genomic data.
  • Extrapolated insights for thematic analysis and charted requirements by frequency.

Main Results:

  • Identified 26 functional requirements across data management, processing/analysis, and visualization.
  • Identified 20 nonfunctional requirements in communication, infrastructure, user experience, and security/compliance.
  • Analyzed issues crucial for developing an ideal health and genomic data management platform.

Conclusions:

  • Mapped key functional and nonfunctional requirements for clinical and data professionals.
  • Highlighted the need for secure infrastructure and governance for compliant data processing and sharing.
  • Provided insights for designing standardized platforms that promote efficient, compliant, and secure data exchange.