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Related Experiment Videos

Data management issues in longitudinal research.

J M Youngblut1, C J Loveland-Cherry, M Horan

  • 1Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio.

Nursing Research
|May 1, 1990
PubMed
Summary
This summary is machine-generated.

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Effective research requires robust data management. Planning data structure and management before data collection streamlines subsequent data entry and analysis, ensuring study success.

Area of Science:

  • Research Methodology
  • Data Science

Background:

  • Existing research literature often overlooks the critical role of data management.
  • Key research components like design, instrumentation, sampling, and analysis are well-documented, but data management is frequently neglected.

Purpose of the Study:

  • To highlight the importance of data management in the research process.
  • To emphasize that proactive data management planning is essential for successful study outcomes.

Main Methods:

  • This study reviews existing literature on research processes.
  • It identifies the gap in the literature concerning data management practices.

Main Results:

  • Data management is a crucial, yet often neglected, component of successful research.

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  • Neglecting data management can hinder the overall research process and outcomes.

    • Conclusions:

    • Integrating data management planning early in the research design is vital.
    • Decisions regarding data structure and management prior to data collection significantly facilitate data entry and analysis.