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Data integration in biological research: an overview.

Vasileios Lapatas1, Michalis Stefanidakis1, Rafael C Jimenez2

  • 1Department of Informatics, Ionian University, 7 Tsirigoti Square, Corfu, 49100 Greece.

Journal of Biological Research (Thessalonike, Greece)
|September 4, 2015
PubMed
Summary
This summary is machine-generated.

Biological data integration requires active participation from researchers. Enabling data sharing, standards, and formats ensures reproducibility and facilitates biological discovery.

Keywords:
BioinformaticsData drivenData integrationOpen sciencesStandards

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Data Science

Background:

  • Reproducibility in biological research relies heavily on data sharing, integration, and annotation.
  • Experimental biologists are crucial stakeholders in biological data integration, not just bioinformaticians.
  • Effective data integration requires standards and formats that empower researchers to submit and annotate data.

Purpose of the Study:

  • To provide a computational perspective on biological data integration.
  • To explore the application of data integration in biological research.
  • To identify key factors for successful data integration and outline future directions.

Main Methods:

  • Review of computational science principles applied to biological data.
  • Analysis of existing data integration strategies in biological research.
  • Discussion of standards, formats, and annotation mechanisms.

Main Results:

  • Data integration is a collaborative effort, with significant roles for experimental biologists.
  • The success of data integration hinges on the adoption of suitable standards and formats.
  • Well-integrated data enhances searchability, linkage, and downstream biological analysis.

Conclusions:

  • Biological data integration is essential for reproducible research and scientific discovery.
  • Active involvement of biological researchers is key to successful data integration.
  • Future efforts should focus on developing and adopting robust standards and user-friendly mechanisms for data submission and annotation.