oma-scholar

To generate a structured sidecar for a research paper, you provide the document or DOI to extract claims, evidence, and relations into a standardized, machine-readable YAML format. This creates structured metadata suitable for academic analysis and literature surveys.

A machine-readable sidecar for academic literature is a standardized YAML file that organizes a research paper's claims, evidence, and relationships. It enables precise search, extraction, and validation of structured scientific content for peer review and meta-analysis.

Yes, you can validate research metadata extracted from a PDF draft. The skill verifies the correctness of the generated YAML sidecar against the latest data specifications, ensuring the structured summary accurately reflects the scientific content for peer review.

Yes, this approach works for literature surveys and peer review by providing organized semantic data. It assists in paper synthesis and structural comparison, allowing researchers to efficiently access and validate structured claims across multiple academic papers.

You do not need a specific input format to fetch research papers by DOI. The skill processes the DOI to retrieve the paper and outputs the extracted claims and evidence as a compliant YAML sidecar, facilitating immediate academic analysis.