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Tighten copy across data files for clarity and directness
Rewrite descriptions in challenge, features, integrations, iscc, site, and tools YAML to use active voice, shorter sentences, and concrete phrasing instead of abstract marketing language.
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_data/challenge.yml

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# Items support optional `strong` for the bold lead-in phrase.
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# ─────────────────────────────────────────────────────────────────
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section_title: "Enhancing AI-Readiness of Bioimaging Data<br/>with Content-Based Identifiers"
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section_title: "Making Bioimaging Data AI-Ready<br/>with Content-Based Identifiers"
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cards:
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- id: challenge
@@ -18,7 +18,7 @@ cards:
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publications — with no shared identity across them.
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- strong: "No Audit Trail:"
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text: >
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Challenges to verify data integrity or detect manipulation
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No reliable way to verify data integrity or detect manipulation
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after the fact.
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- strong: "Lost Provenance:"
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text: >
@@ -39,18 +39,18 @@ cards:
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from available data — independently and without any central authority.
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Use the ISCC Generator at iscc.io/resources.
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url: https://iscc.io/resources/
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- strong: "Generating, signing, and timestamping ISCCs"
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- strong: "Sign and timestamp ISCCs"
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text: >
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creates persistent identifiers to securely reference and link
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data in repositories with images in papers.
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to create persistent identifiers that securely link repository
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data with the figures in published papers.
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- id: impact
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icon: ""
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heading: Scientific Impact
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items:
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- strong: "Cryptographic figure data verification"
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text: "via the ISCC audit trail."
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- strong: "Improved data integrity, transparency, and reusability."
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text: ""
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- strong: "Enhanced AI-readiness"
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text: "of bioimaging datasets for trusted AI applications."
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- strong: "Better data integrity and reusability"
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text: "through transparent, verifiable provenance chains."
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- strong: "AI-ready bioimaging datasets"
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text: "with verified origins, so AI models can train on data you can trace."

_data/features.yml

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section_eyebrow: Capabilities
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section_title: Built for scientific data & bioimaging
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section_sub: >
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Addressing the specific challenges of large-scale imaging data
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in modern research environments.
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Designed for the specific problems of large-scale imaging data
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in research.
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features:
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- icon: ""
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title: ISO 24138:2024 Compliant
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description: >
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Implements the official international standard, ensuring global
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interoperability across institutions, repositories, and tools.
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Follows the international standard, so codes generated anywhere
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are compatible everywhere — across institutions, repositories, and tools.
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- icon: ""
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title: High Performance
@@ -32,14 +32,14 @@ features:
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- icon: ""
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title: FAIR Principles
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description: >
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Supports Findable, Accessible, Interoperable, and Reusable data
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principles as mandated by EOSC and European funding bodies.
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Meets the Findable, Accessible, Interoperable, and Reusable data
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requirements from EOSC and European funding bodies.
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- icon: ""
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title: AI-Ready Data
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description: >
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Persistent content-based identifiers survive format conversions
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and enable reliable provenance tracking for AI training datasets.
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Content-based identifiers survive format conversions, so provenance
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stays intact when datasets move into AI training pipelines.
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- icon: ""
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title: Platform Integration

_data/integrations.yml

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plugin_name: omero-iscc
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status: available
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description: >
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Server plugin for automatic ISCC generation on image import.
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Enables facility-level deduplication and provenance tracking
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within OMERO's image management infrastructure.
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Server plugin that generates ISCCs automatically on image import.
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Facilities get deduplication and provenance tracking without
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changing their existing OMERO workflows.
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capabilities:
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- Automatic ISCC generation on import
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- Facility-level deduplication
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plugin_name: ""
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status: planned
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description: >
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Pipeline integration for high-content screening datasets,
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enabling ISCC-based deduplication across large plate acquisitions.
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Pipeline integration for high-content screening datasets.
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Deduplicates across large plate acquisitions using ISCC codes.
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capabilities:
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- Pipeline-level ISCC generation
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- High-content screening deduplication

_data/iscc.yml

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registry_url: https://github.com/iscc/iscc-registry
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did_method_url: https://ieps.iscc.codes/iep-0015/
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description: >
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A persistent identifier derived from ISCC content codes. ISCC-IDs link
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raw data, processed derivatives, and published figures into a single
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auditable chain of provenance.
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A persistent identifier derived from ISCC content codes. ISCC-IDs
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connect raw data, processed derivatives, and published figures into
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one auditable provenance chain.
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properties:
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- label: Fingerprinting
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description: Helps find metadata even when filenames or paths have changed.
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description: Demonstrates when content was created or registered.
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- label: Secure linking
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description: >
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Enables provenance verification across repositories, publications,
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Verifies provenance across repositories, publications,
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and analysis pipelines.
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components:
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- number: 1

_data/site.yml

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eyebrow: "Funded by EU Horizon Europe · OSCARS Initiative"
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headline: "Similarity-Preserving Codes<br/>for Bioimaging Data"
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subheadline: >
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BIOCODES implements the ISO 24138 International Standard Content Code
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for bioimaging data — enabling integrity verification, deduplication,
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and cross-platform provenance to make your data AI-ready and FAIR-compliant.
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BIOCODES brings the ISO 24138 International Standard Content Code
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to bioimaging data. Verify integrity, find duplicates, and trace
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provenance across platforms — from raw data to publication.
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cta_primary:
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label: Get Started
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url: https://sum.iscc.codes/quickstart/

_data/tools.yml

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status: "Alpha"
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status_color: amber
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description: >
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OMERO server integration plugin. Automatically generates and stores
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ISCC identifiers for images imported into OMERO, enabling
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facility-level deduplication and FAIR-compliant provenance tracking.
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OMERO server plugin. Generates and stores ISCC identifiers
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automatically on image import, so facilities can deduplicate
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and track provenance without extra steps.
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install: ""
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platforms:
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- Linux

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