rclone/rclone
Jun 2025 – Jun 2025
1 Month active
Languages Used
GoMarkdown
Technical Skills
API IntegrationBackend DevelopmentFile System ImplementationGo Programming
Flora Thiebaut
PROFILE
Flora Thiebaut
Developed a DOI-based dataset mounting backend for the rclone/rclone repository, enabling users to mount datasets identified by DOIs from platforms such as InvenioRDM, Zenodo, and Dataverse. The work involved defining robust API types and implementing provider plugins to facilitate seamless access to files hosted on these repositories via DOI resolution. Leveraging Go for backend development and file system implementation, the solution enhances data access, discoverability, and reproducibility in data-intensive workflows. The approach focused on API integration and extensibility, allowing rclone users to incorporate DOI-based datasets directly into their workflows without manual data retrieval or complex configuration steps.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,652
Activity Months1
Your Network
161 peopleShared Repositories
161
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025Delivered a new DOI-based dataset mounting backend for rclone, enabling mounting of datasets identified by DOIs across InvenioRDM (including Zenodo) and Dataverse. The work includes API type definitions and provider implementations to access files hosted on these platforms via DOIs. This enhances data access, discoverability, and reproducibility for data-intensive workflows.
1 Commits • 1 Features
Jun 1, 2025Delivered a new DOI-based dataset mounting backend for rclone, enabling mounting of datasets identified by DOIs across InvenioRDM (including Zenodo) and Dataverse. The work includes API type definitions and provider implementations to access files hosted on these platforms via DOIs. This enhances data access, discoverability, and reproducibility for data-intensive workflows.
June 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoMarkdown
Technical Skills
API IntegrationBackend DevelopmentFile System ImplementationGo Programming
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