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Related Experiment Videos

Clinical research databases: getting from current state to best practice.

Steven E Waldren1, Joseph Quetsch

  • 1University of Missouri, Department of Healthcare Management and Informatics, Columbia, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
Summary

Managing clinical research data is crucial for health sciences. A new checklist tool helps researchers and data administrators evaluate database operations, mitigating risks and maximizing data value.

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Area of Science:

  • Health Sciences
  • Information Science
  • Data Management

Background:

  • Clinical research databases are fundamental to health sciences.
  • Research data is often managed by individuals outside of information science expertise.
  • Improper data management poses significant risks to researchers, participants, and patients.

Purpose of the Study:

  • To develop a practical tool for evaluating clinical research database operations.
  • To address potential liabilities associated with poor data management.
  • To enhance the preservation and maximization of data value.

Main Methods:

  • Creation of a comprehensive checklist tool.
  • The tool is designed for researchers and data administrators.
  • Evaluation of database operations for risks and data value.

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Main Results:

  • The checklist tool provides a structured approach to database evaluation.
  • It identifies potential risks and areas for data value enhancement.
  • A systematic method for assessing data management practices is established.

Conclusions:

  • Effective data management is essential for the integrity of clinical research.
  • The developed checklist tool supports researchers and administrators in optimizing database operations.
  • Implementing the checklist can mitigate risks and improve the overall value of clinical research data.