FCC for Scientists and Researchers

Welcome to the FCC Agent Team Framework resources for the research community. FCC provides structured workflows for literature review, data management, reproducibility, and collaborative research.

Resources

• FAIR Workflow -- FAIR compliance workflow for research data
• Literature Review Agents -- Using RAG pipeline for automated literature review
• Reproducibility Guide -- Reproducibility with the Open Science module
• Research Methodology -- FCC as a research instrument

Why FCC for Research?

The FCC framework addresses common challenges in research workflows:

1. Structured literature review: The RAG pipeline automates document ingestion, chunking, and semantic retrieval for literature surveys.
2. FAIR compliance: Built-in support for Findable, Accessible, Interoperable, and Reusable data principles.
3. Reproducibility: Deterministic simulation mode, trace recording, and event replay enable fully reproducible research pipelines.
4. Collaboration: Human-in-the-loop sessions with scoring and approval gates formalize the peer review process.
5. Knowledge graphs: Capture and query relationships between research concepts, methods, datasets, and findings.

Quick Start for Researchers

1. Install FCC: GETTING_STARTED.md
2. Explore Open Science personas: registry.by_category("open_science")
3. Run the Open Science demo: DemoRunner.run("open_science")
4. Set up your first RAG pipeline: Literature Review Agents

Related Resources

• TUTORIALS_INDEX.md -- Learning resources catalog
• Notebook 17_rag_pipeline.ipynb -- RAG pipeline tutorial
• Notebook 16_knowledge_graphs.ipynb -- Knowledge graph tutorial
• Streamlit demo_open_science.py -- Interactive Open Science demo

v1.4.x What's New for Scientists

v1.4.3 turned FCC into a first-class drafting repo for industry-paper publication, with the Research Center (NEXUS) acting as the publication authority. Two seed drafts are already in flight: a quantum-locality metrics paper and a Zachman × R.I.S.C.E.A.R. × SAFe composition paper. If you are using FCC in a research project, the new RHL (Research Handoff Liaison) persona and the IMRaD skeleton workflow are the most important additions.

• Guidebook Ch. 34 — Industry Paper Handoff to NEXUS — the four-step handoff, the IMRaD skeleton, and the licensing split (CC-BY-4.0 for papers, MIT for code).
• Guidebook Ch. 33 — Patent Delegation to PHOENIX — coordinate with IHL when an insight is both publishable and patentable.
• Guidebook Ch. 31 — SAFe Adoption in FCC — how research papers appear as portfolio epics.
• Sample Prompts — Industry Paper Handoff
• Sample Prompts — Citation-Graph Draft on FCC
• docs/safe/README.md — the portfolio-epic surface paper drafts sit inside.
• docs/ecosystem/rc-coordination-v143.md — the canonical FCC ↔ NEXUS coordination doc.
• Notebook 42_industry_paper_handoff.ipynb — hands-on draft preparation walkthrough.

See also — other audience tiers and architecture

• Teaching research methodology? → For Educators
• Entirely new to FCC? → For Beginners
• Enterprise / compliance context? → For Professionals
• Internal structure of the RAG + KG subsystems? → Class Diagram: KG vs Federated KG, Sequence Diagram: RAG Persona-Aware Retrieval, DFD: RAG Document Pipeline, Use-Case Diagram for Scientists