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