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Related Experiment Video

Updated: Jan 31, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
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MetaBar - a tool for consistent contextual data acquisition and standards compliant submission.

Wolfgang Hankeln1, Pier Luigi Buttigieg, Dennis Fink

  • 1Max Planck Institute for Marine Microbiology, Bremen, Germany.

BMC Bioinformatics
|July 2, 2010
PubMed
Summary

MetaBar software aids researchers in collecting and submitting essential sample metadata for environmental sequencing projects. This ensures data consistency and facilitates integration with global databases like INSDC.

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Area of Science:

  • Environmental genomics
  • Bioinformatics
  • Data management

Background:

  • Exponential growth in environmental sequence data necessitates standardized metadata for analysis.
  • Lack of consistent sampling location, time, and depth/altitude data hinders integrated data analysis and ecosystem modeling.
  • MetaBar application developed to address the need for consistent contextual data acquisition.

Purpose of the Study:

  • To introduce MetaBar, a software tool for consistent contextual data acquisition, storage, and submission.
  • To facilitate structured data collection in the field or laboratory.
  • To support the submission of metadata-rich sequence data to international databases.

Main Methods:

  • MetaBar utilizes a preconfigured Microsoft Excel spreadsheet for initial data entry.
  • Unique identifiers are assigned to each sample, with barcode printing options.
  • Data is stored in a central MetaBar database, accessible via a web interface for user and project management.
  • Export functions enable submission to the International Nucleotide Sequence Database Collaboration (INSDC).

Main Results:

  • MetaBar provides a structured approach to collecting contextual data compliant with Genomic Standards Consortium specifications.
  • The software supports electronic storage and submission of sample metadata.
  • User-friendly web interface allows for data access and management.
  • Open-source code is available for local installation under GNU GPL3.

Conclusions:

  • MetaBar streamlines the workflow from sample collection to metadata-enriched sequence submission to INSDC databases.
  • Integration with megx.net facilitates georeferenced data integration and comparative analysis of sampling sites.
  • Export functionalities and INSDC submission support promote cross-disciplinary data exchange and data preservation.