{
  "markdown": "# PDA Platform\n\n> **NOTICE: The PDA Task Force closed on 30 January 2026**\n>\n> **This repository is no longer maintained or supported.**\n>\n> - The contact email **info@pdataskforce.com** is no longer active\n> - For questions, contact the final Chair: **Donnie MacNicol** at **donnie@teamanimation.co.uk**\n> - A maintained fork is available at: **https://github.com/antnewman/pda-platform**\n\n**Open-source infrastructure for AI-enabled project delivery.**\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.18133574.svg)](https://doi.org/10.5281/zenodo.18133574)\n[![PyPI - pm-data-tools](https://img.shields.io/pypi/v/pm-data-tools)](https://pypi.org/project/pm-data-tools/)\n\n## Overview\n\nThe PDA Platform provides the data infrastructure needed for AI to improve project delivery. Built to support the NISTA Programme and Project Data Standard trial.\n\nThis work was made possible by:\n- The **PDA Task Force White Paper** identifying AI implementation barriers in UK project delivery\n- The **NISTA Programme and Project Data Standard** and its 12-month trial period\n\n## The Problem\n\nUK major infrastructure projects have a success rate of approximately 0.5%. The Government Major Projects Portfolio shows 84% of projects rated Amber or Red. AI has potential to help, but lacks standardised data infrastructure.\n\n## The Solution\n\n| Component | Description | Status |\n|-----------|-------------|--------|\n| **pm-data-tools** | Universal PM data parser (8 formats + NISTA) | v0.2.0 ✅ |\n| **agent-task-planning** | AI reliability framework | v1.0.0 ✅ |\n| **pm-mcp-servers** | MCP servers for Claude integration | Phase 1 ✅ |\n| **Specifications** | Canonical model, benchmarks, synthetic data | Published ✅ |\n\n## Quick Start\n\n```bash\n# Install the core library\npip install pm-data-tools\n\n# Parse any PM file\nfrom pm_data_tools import parse_project\nproject = parse_project(\"schedule.mpp\")\n\n# Validate NISTA compliance\nfrom pm_data_tools.validators import NISTAValidator\nresult = NISTAValidator().validate(project)\nprint(f\"Compliance: {result.compliance_score}%\")\n```\n\n## Packages\n\n### pm-data-tools\nUniversal parser and validator for project management data.\n- **Formats**: MS Project, Primavera P6, Jira, Monday, Asana, Smartsheet, GMPP, NISTA\n- **Features**: Parse, validate, convert, migrate\n- **Install**: `pip install pm-data-tools`\n\n### agent-task-planning\nAI reliability framework with confidence extraction and outlier mining.\n- **Features**: Multi-sample consensus, diverse alternative generation\n- **Install**: `pip install agent-task-planning`\n\n### pm-mcp-servers\nMCP servers enabling Claude to interact with PM data.\n- **Servers**: pm-data, pm-validate, pm-analyse, pm-benchmark\n- **Install**: `pip install pm-mcp-servers`\n\n## Specifications\n\nAll specifications are in the `specs/` directory:\n\n| Spec | Description |\n|------|-------------|\n| [Canonical Model](specs/canonical-model/) | 12-entity JSON Schema for PM data |\n| [MCP Servers](specs/mcp-servers/) | 4 servers, 19 tools for AI integration |\n| [Benchmarks](specs/benchmarks/) | 5 evaluation tasks for PM AI |\n| [Synthetic Data](specs/synthetic-data/) | Privacy-preserving data generation |\n\n## Repository Structure\n\n```\npda-platform/\n├── specs/           # Technical specifications\n├── packages/        # Python packages (each publishable to PyPI)\n│   ├── pm-data-tools/\n│   ├── agent-task-planning/\n│   └── pm-mcp-servers/\n├── docs/            # Documentation\n└── examples/        # Usage examples\n```\n\n## License\n\nMIT License - see [LICENSE](LICENSE)\n\n## Authors\n\nMembers of the PDA Task Force\n\n## Acknowledgments\n\n- PDA Task Force White Paper on AI implementation barriers\n- NISTA Programme and Project Data Standard\n- The open-source community\n\n---\n\n*Built to support the NISTA trial and improve UK project delivery.*\n",
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