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Issues in biomedical research data management and analysis: needs and barriers.

Nicholas R Anderson1, E Sally Lee, J Scott Brockenbrough

  • 1University of Washington, Department of Medical Education and Biomedical Informatics, Box 357240, Seattle, WA 98195-7420, USA. nicka@u.washington.edu

Journal of the American Medical Informatics Association : JAMIA
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Academic biomedical researchers often use basic tools for data management but need more support for large datasets. Financial burdens and insufficient institutional support are key barriers, highlighting the need for improved access to tools and informatics services.

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Area of Science:

  • Biomedical Research
  • Data Science
  • Information Science

Background:

  • Academic biomedical researchers' data management practices are evolving.
  • Understanding current and future needs is crucial for effective research support.

Purpose of the Study:

  • To identify the current and anticipated data management needs of academic biomedical researchers.
  • To explore barriers hindering the fulfillment of these needs.

Main Methods:

  • A multimodal needs analysis combining online surveys (286 respondents) and semi-structured interviews (15 participants).
  • Participants were academic biomedical researchers from the Pacific Northwest.

Main Results:

  • Widespread reliance on basic applications for core data management persists.
  • A significant need for enhanced support in managing and analyzing large datasets was identified.
  • Financial constraints for small labs and inadequate institutional support are primary barriers.

Conclusions:

  • Improving access to fundamental data management tools can empower researchers.
  • Institutions should promote modern data exchange standards for interoperability and analysis.
  • Developing robust information management service cores is essential for advanced data analysis and provenance tracking.