
Worked on standardizing and improving citation metadata across core Plotly repositories, including plotly.js, plotly.py, and dash. Introduced and refined CITATION.cff files to ensure accurate scholarly attribution, versioning, and release tracking, focusing on metadata management and documentation quality. Leveraged YAML for configuration and documentation management, aligning metadata across multiple projects to support bibliometric tooling and academic workflows. Addressed release hygiene by updating version and release date information, ensuring users reference correct library versions. The work enhanced repository provenance, improved discoverability in scholarly indexes, and established consistent citation practices, with changes implemented collaboratively and with attention to cross-repository governance.
Month: 2025-08 — This period focused on improving citation accuracy and release hygiene across core Plotly repos, ensuring stakeholders reference the correct library versions and release metadata. The changes were implemented with minimal risk and prepared for downstream usage in dependent projects.
Month: 2025-08 — This period focused on improving citation accuracy and release hygiene across core Plotly repos, ensuring stakeholders reference the correct library versions and release metadata. The changes were implemented with minimal risk and prepared for downstream usage in dependent projects.
December 2024 Performance Summary: Focused on metadata improvements to enable reliable scholarly attribution for Plotly.PY and to bolster bibliometric tooling readiness. Key work delivered a CITATION.cff metadata workflow for plotly.py, including a new file and subsequent author/DOI data updates to ensure accurate attribution across releases. No user-facing bug fixes were recorded this month; instead, the team enhanced data quality and traceability to support researchers and downstream tooling. Overall impact includes improved citation accuracy, easier integration with academic workflows, and stronger repository provenance.
December 2024 Performance Summary: Focused on metadata improvements to enable reliable scholarly attribution for Plotly.PY and to bolster bibliometric tooling readiness. Key work delivered a CITATION.cff metadata workflow for plotly.py, including a new file and subsequent author/DOI data updates to ensure accurate attribution across releases. No user-facing bug fixes were recorded this month; instead, the team enhanced data quality and traceability to support researchers and downstream tooling. Overall impact includes improved citation accuracy, easier integration with academic workflows, and stronger repository provenance.
November 2024: Implemented standardized citation metadata across core Plotly projects, enabling precise attribution and easing scholarly reuse. Introduced CITATION.cff files in plotly/plotly.js and plotly/dash, with initial metadata and subsequent refinements. No major bug fixes reported; focus was on governance, metadata quality, and cross-repo consistency. The work improves citation accuracy, downstream tooling compatibility, and user trust.
November 2024: Implemented standardized citation metadata across core Plotly projects, enabling precise attribution and easing scholarly reuse. Introduced CITATION.cff files in plotly/plotly.js and plotly/dash, with initial metadata and subsequent refinements. No major bug fixes reported; focus was on governance, metadata quality, and cross-repo consistency. The work improves citation accuracy, downstream tooling compatibility, and user trust.

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