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Related Experiment Videos

Guidelines for managing datasets, programs and printouts in scientific research

K E Muller, D H Christiansen, J Smith

    Computer Programs in Biomedicine
    |September 1, 1981
    PubMed
    Summary

    This study introduces naming conventions and management guidelines for research data, programs, and printouts. Adhering to these simple rules enhances project documentation quality and usability for small to medium research projects.

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    Area of Science:

    • Computer Science
    • Information Management
    • Scientific Research Methodology

    Background:

    • Managing research data, programs, and printouts in small to medium projects can be challenging.
    • Lack of standardized naming conventions and archiving techniques leads to poor documentation.
    • Effective data management is crucial for research reproducibility and integrity.

    Purpose of the Study:

    • To provide guidelines and naming conventions for managing research datasets, programs, and printouts.
    • To establish a foundation for high-quality, user-friendly project documentation systems.
    • To address the specific needs of small to medium-sized research projects.

    Main Methods:

    • Defining the scope and nature of research projects.
    • Developing a consistent set of rules for naming programs and datasets.

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  • Presenting techniques for storing and archiving project components.
  • Establishing rules for printout management.
  • Discussing the documentation of all project elements.
  • Main Results:

    • A consistent set of naming rules for programs and datasets.
    • Techniques for storing and archiving data and programs.
    • Rules for managing printouts.
    • A comprehensive approach to project documentation.

    Conclusions:

    • Implementing these naming rules is straightforward.
    • Adherence to the proposed guidelines results in a high-quality, easy-to-use documentation system.
    • Standardized data and program management improves research project organization.