The Research Archive skill automates the complex process of preserving research data, papers, and metadata within the aiwg framework. It implements industry-standard archival practices such as the Library of Congress BagIt specification, Dublin Core, and PREMIS metadata. Whether archiving a single paper or an entire corpus, the skill ensures data integrity through checksum verification and comprehensive provenance tracking, making it an essential tool for maintaining a verifiable, long-term research repository for AI-augmented software development.
主な機能
01Bulk archival capabilities for entire research corpuses
02Standardized BagIt, ZIP, and TAR.GZ archival formats
03146 GitHub stars
04Automated metadata generation using Dublin Core and PREMIS standards
05End-to-end integrity verification with SHA-256 checksums
06Comprehensive provenance and quality assessment tracking
ユースケース
01Creating immutable snapshots of research findings before project milestones
02Sharing verifiable research packages with collaborators or for academic publication
03Migrating research corpuses between storage systems while maintaining data integrity