Obj.
1 - Definition of NGM
2 - Development of MMPF
3 - Development of MMPB
4 - CTVOD
Deliverable
Yr. 1-1
Yr. 1-2
Yr. 2-1
Yr. 2-2
Yr. 3-1
Yr. 3-2
Yr. 4-1
Yr. 4-2
1-1
Core Linked Data Framework
1-2
Hardware Descriptor Schema
1-3
Software Components
1-4
Storage Backends
1-5
Community/Vendor Coordination
2-1
Extend Base Client Capabilities
Development
Support
2-2
Reading and Writing NGM
Development
Support
2-3
Integration with the Micro-Meta Platform Backend
Development
3-1
Micro-Meta Platform Development & Deployment
Development
3-2
Micro-Meta Platform Maintenance/Support
Support
3-3
Synchronization of RRID with CoreMarketplace
Development
Support
3-4
Automate the Seamless Generation of PIDs
Development
3-5
PHD-aware Search Indexing Enhancements
Development
Support
4-1
Consulting ahead of development
4-2
Improved usability by integrated user-evaluation
4-3
Training and Education Strategy
4-4
Curated corpus of microscope technical material
Next-Generation Metadata (NGM) Framework 1 project
A vendor-friendly metadata schema and protocol enabling automatic transfer of detailed hardware configuration data from microscopy instrument manufacturers to researchers.

Modular and reusable metadata components, designed to fit together across platforms.

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Micro-Meta Platform Frontend (MMPF) 0 projects
A user-centric Graphical User Interface (GUI) designed for authoring, reviewing, and editing NGM-encoded hardware descriptors.
Micro-Meta Platform Backend (MMPB) 1 project
A scalable service infrastructure that manages PIDs creation, metadata deposition, and interlinking of hardware descriptors with data and publications and post publication exploration, citation and data annotation. MMPB will incorporate exploratory Large Language Model (LLM) techniques to extract metadata from unstructured instrument technical documents, enhancing metadata completeness and quality.
Coordinated Testing, Validation, Outreach and Dissemination 1 project
Actively engaging research scientists, core-facility staff, and data librarians to obtain early feedback during software development to ensure usability; implementing targeted education and training on FAIR practices, persistent identifiers (PIDs), and metadata registries at venues and organizations specifically selected to maximize impact; and creating technical documentation for microscopy hardware to support future community learning.

Presentation materials covering the IPHD Project, how it fits into data providence, and its importance with respect to FAIR data in research.

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