SigmaCV

SigmaCV auto-generates clean, customizable academic CVs from open research data including OpenAlex, ORCID, Crossref, DataCite, and Open Editors Plus.

Key Features:

• Canonical CV Object: A single canonical CV object drives every output format including HTML, PDF, DOCX, LaTeX, and Markdown.
• CSL Citation Rendering: Citations render through CSL (Citation Style Language).
• Persistent Identifier Matching: The account holder is matched by persistent identifier (ORCID or OpenAlex ID) rather than name string.
• FAIR by Design: The tool is built as open infrastructure for responsible research assessment following FAIR principles.

Scientific Applications:

• Academic CV Generation: Automated creation of academic CVs from open research data sources for responsible research assessment.
• Researcher Identification: Accurate researcher matching using persistent identifiers to avoid name ambiguity in academic profiling.

Methodology:

SigmaCV queries open research data from OpenAlex, ORCID, Crossref, DataCite, and Open Editors Plus, constructs a single canonical CV object, and renders outputs in multiple formats (HTML, PDF, DOCX, LaTeX, Markdown) with CSL-formatted citations.