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
Johann 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. He defined robust API types and implemented provider plugins in Go, focusing on backend development and file system integration. This work allows seamless access to files hosted on multiple repositories via DOIs, improving data access and reproducibility for data-intensive workflows. Johann’s engineering approach demonstrated depth in API integration and backend architecture, delivering a feature that enhances discoverability and streamlines workflows for researchers working with distributed scientific datasets.
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
142 people
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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