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A decoupled, modular and scriptable architecture for tools to curate data platforms.

Momo Langenstein1, Henning Hermjakob1, Manuel Bernal Llinares1

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A new modular architecture enables the creation of adaptable data curation tools without altering existing platforms. This approach streamlines curator workflows and enhances data quality management for growing databases.

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Area of Science:

  • Bioinformatics
  • Data Management
  • Software Engineering

Background:

  • Effective data curation is crucial for maintaining data quality in rapidly expanding databases.
  • Existing curation tools are often complex, hindering development and workflow experimentation.
  • The need for adaptable and easily developable curation solutions is paramount.

Purpose of the Study:

  • To propose a novel architecture for developing new curation tools that integrate with existing platforms.
  • To demonstrate the flexibility and utility of this architecture through a practical case study.
  • To enhance data curator workflows by leveraging existing platform functionalities.

Main Methods:

  • Developed a decoupled, modular, and scriptable architecture for building curation tools.
  • Treated existing data platforms as black boxes, relying solely on public APIs and web interfaces.
  • Implemented the architecture in cmd-iaso, a curation tool for the identifiers.org registry.

Main Results:

  • The proposed architecture successfully integrates new curation tools with existing platforms without infrastructure modification.
  • The cmd-iaso case study demonstrated streamlined and enhanced curator workflows.
  • The modular design facilitates experimentation and development of curation functionalities.

Conclusions:

  • The decoupled architecture provides a flexible and efficient solution for developing advanced data curation tools.
  • This approach supports the continuous improvement of data quality and management in scientific databases.
  • cmd-iaso serves as a practical example of the architecture's effectiveness in enhancing curator productivity.