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Ten simple rules for using public biological data for your research.

Vishal H Oza1, Jordan H Whitlock1, Elizabeth J Wilk1

  • 1Department of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.

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Summary
This summary is machine-generated.

This guide presents 10 simple rules for researchers to effectively download and use public biological data, promoting data reuse and reproducibility in scientific research.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Public biological data is rapidly increasing.
  • Effective utilization of this data is crucial for research.
  • A structured approach is needed for data management.

Purpose of the Study:

  • To provide a comprehensive guide for researchers on using public biological data.
  • To outline 10 essential rules for data acquisition and application.
  • To enhance data reuse and reproducibility in biological research.

Main Methods:

  • Development of 10 simple rules for public biological data usage.
  • Emphasis on purposeful data use, evaluation, and reuse requirements.
  • Guidelines for programmatic download, integrity verification, and data citation.

Main Results:

  • A framework of 10 rules covering the entire data lifecycle.
  • Recommendations for ethical data reuse and compliance with embargoes.
  • Strategies for managing storage, compute, and ensuring data integrity.

Conclusions:

  • Adherence to these rules facilitates successful data acquisition and application.
  • Implementing these guidelines promotes reproducibility and increases data reuse.
  • Making data, models, pipelines, and code Findable, Accessible, Interoperable, and Reusable (FAIR) is essential.