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dtool and dserver: A flexible ecosystem for findable data.

Johannes L Hörmann1,2, Luis Yanes3, Ashwin Vazhappilly1,2

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Summary
This summary is machine-generated.

dtool and its lookup server (dserver) facilitate FAIR data management by packaging metadata with data. This decentralized system makes datasets findable, promoting accessibility and reproducibility in research.

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Area of Science:

  • Data Science
  • Research Data Management
  • Computational Science

Background:

  • FAIR data principles (Findable, Accessible, Interoperable, Reproducible) are crucial for modern research.
  • Existing data management solutions often require centralized systems or rigid metadata, hindering accessibility.

Purpose of the Study:

  • To introduce dtool, a lightweight tool for managing research data.
  • To present dserver, a REST API-based lookup server, to address the findability challenge in decentralized data management.

Main Methods:

  • dtool packages immutable data with metadata into self-contained datasets.
  • dserver utilizes a REST API to index and enable discovery of dtool datasets.
  • The dtool ecosystem is designed for simplicity, modularity, and standardization.

Main Results:

  • dtool promotes data accessibility, interoperability, and reproducibility.
  • dserver effectively makes decentralized dtool datasets findable, enhancing the FAIRness of the ecosystem.
  • The dtool ecosystem bridges the gap between individual data management and platform solutions.

Conclusions:

  • The dtool ecosystem, with dserver, provides a practical solution for FAIR data management.
  • Its decentralized and standardized approach supports cross-disciplinary research data sharing and reuse.