ANAMNESIS is an open-source web platform designed to document, structure, and preserve digitization workflows in Cultural Heritage (CH) and Heritage Science (HS). Built on the W7 semantic framework (What, Why, Who, Where, When, How, Which), it enables fine-grained metadata and paradata documentation for HS imaging and measurments activities—from data acquisition to processing and analysis—while ensuring traceability, reproducibility, and FAIR compliance.

Key Features: W7-Structured Schemas: Intuitive, customizable templates for documenting digitization techniques (photogrammetry, laser scanning, RTI, etc.), instruments, protocols, and contextual details (e.g., lighting, calibration, uncertainty). Persistent Identifiers (PIDs): Integration of UUIDs, ARKs, and DOIs to stabilize metadata and link to external services (Geonames, ORCID, CORDIS). Collaborative Ecosystem: Centralized sharing of templates, workflows, and best practices, fostering community-driven documentation and interoperability with semantic frameworks (CIDOC-CRM, Schema.org). User-Centric Design: Minimalist UI/UX (Vue.js) with multilingual support, batch processing, and graphical/wiki-based documentation to lower the barrier for non-expert users. Open-Source & Scalable: Deployed via Docker on distributed infrastructures (e.g., ESPADON), with options for local installation or cloud-based use. Use Cases: Documentation: Capture provenance-rich metadata for digitization campaigns (e.g., chapel surveys, climate monitoring). Reproducibility: Track instrument parameters, processing steps, and analytical methods to ensure transparent workflows. FAIR Compliance: Align with open-science principles by structuring data for long-term archiving, open-access deposits, and data papers. Interdisciplinary Collaboration: Bridge gaps between field experts, data scientists, and archivists through standardized schemas. Target Audience: Researchers, conservators, archaeologists, and digital humanities practitioners seeking to enhance data provenance, share workflows, and adhere to FAIR principles in CH/HS projects. Access & Integration: Web Application: Lien vers la plateforme Source Code: GNU AGPLv3 license | [GitHub/Repository Link] Hosting: Supported by ESPADON infrastructure (CNRS) and E-RIHS DIGILAB. ANAMNESIS transforms digitization documentation from a burden into a collaborative, FAIR-by-design process—empowering practitioners to preserve and reuse cultural heritage data with confidence.

Early stage research prototype in beta version. English translation in progress but live translation with modern web explorers is functionnal. API in development.