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e!DAL--a framework to store, share and publish research data.

Daniel Arend1, Matthias Lange, Jinbo Chen

  • 1Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr, 3, 06466 Stadt Seeland, Germany. arendd@ipk-gatersleben.de.

BMC Bioinformatics
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Summary

e!DAL is a lightweight framework for publishing and sharing research data. It offers version tracking, metadata management, and persistent identifiers, improving data lifecycle management for life sciences.

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Area of Science:

  • Life Sciences
  • Bioinformatics
  • Data Management

Background:

  • Life sciences generate
  • big data
  • requiring robust infrastructures for data sharing and publication.
  • Current solutions are often domain-specific, leading to fragmented data management and preservation.
  • A unified approach is needed to address the challenges in the research data lifecycle.

Purpose of the Study:

  • To introduce e!DAL, a novel software framework designed for efficient research data publication and sharing.
  • To provide a flexible and scalable solution for managing the complete data lifecycle in life sciences.

Main Methods:

  • Developed e!DAL as a lightweight software framework.
  • Implemented features including version tracking, metadata management, and persistent identifier registration (DOI).
  • Integrated an HTTP(S) server for public data access and network file system access.

Main Results:

  • e!DAL provides a comprehensive solution for research data publication and sharing.
  • The framework supports version tracking, metadata management, and persistent identifier registration.
  • It offers flexible deployment options, including an out-of-the-box on-site repository and API access for distributed applications.

Conclusions:

  • e!DAL is a general data archiving and publication infrastructure developed from extensive research data management experience.
  • The framework has been deployed in the Maven Central Repository, indicating its readiness for broader adoption.
  • e!DAL enhances data publication and preservation quality in the life sciences.