Standardized, step-by-step research-methodology guides across disciplines — built for reproducibility, rigor, and structure.
This project was built to make rigorous, reproducible research accessible to everyone — across disciplines. 🔬 by Mohamed El Hajji and the community.
⚠️ Early stage. Guide content is being written and the platform is taking shape. The roadmap below describes where this project is headed.
Across disciplines, reproducibility and methodological rigor are major challenges. Research Methodology Hub is an open-source toolbox of guidelines, frameworks, and templates that help researchers follow a clear, dependable process — from formulating a problem to disseminating results.
Rather than one guide, the Hub hosts multiple methodology guides, each tailored to its field but sharing the same structure: an overview of scientific research, followed by an ordered, step-by-step research process.
| Guide | Domain | Status |
|---|---|---|
| Computer Science & AI | Computer Science · AI · Data Science | ✅ Available (7 steps) |
| Educational Research | Education · Social Sciences | ✅ Available (7 steps) |
| Health Research | Clinical · Public Health · Biomedical | 🟡 Coming soon |
| More disciplines | Engineering, Medicine, … | 📋 Planned |
Each guide is self-contained and kept methodologically distinct (e.g. the computational workflow — datasets, architectures, benchmarks — is never mixed with the social-science workflow — variables, instruments, sampling). Adding a new methodology is intentionally easy: drop one file into web/src/guide/methodologies/ and register it.
- 🎓 Master's students — learning to structure a research project
- 🔬 PhD students — conducting and publishing original research
- 🧑🏫 Supervisors / teachers — guiding and reviewing student work (encadrement)
- 📚 Scientific researchers — standardizing methodology across projects
- 🤖 AI assistants / agents — supporting researchers throughout the workflow
.
├── README.md # You are here
├── CONTRIBUTING.md # How to contribute
├── LICENSE # Apache 2.0
├── doc/ # Documentation & community notes
└── web/ # Frontend app — React + Vite + TypeScript
└── src/
├── brand/ # Méridien logo & palette
├── guide/methodologies/ # one file per methodology guide
└── pages/ # Landing · Catalogue · GuideEntry · About
A future
api/(backend & AI services) will be added as the platform grows.
cd web
npm install
npm run dev # start the dev server
npm run build # production build (also type-checks)- Explore — browse the methodology guides and find the one matching your discipline.
- Clone — get a local copy:
git clone https://github.com/Research-Methodology-Hub/Research-Methodologies.git
- Adapt — modify the templates and steps to fit your specific research project and constraints.
Beyond the written guides, the project aims to deliver methodology through an interactive platform:
- 🧭 Methodology Master — an AI agent that mentors researchers step-by-step
- 💬 AI assistant / chatbot — grounded Q&A over the guides (MCP + skills)
- 🧪 Decision aid — "which methodology should I use?" wizard
- 🎯 Quizzes & self-assessment per step
- 🎬 Learning formats — infographics, case studies, slides, and videos
- 📱 Mobile app · 🔗 Integrations (Google Colab, Notion)
See doc/community-issues.md for the flagship epics.
| Layer | Technology | Status |
|---|---|---|
| Frontend | React + Vite + TypeScript, React Router | ✅ Confirmed |
| Backend | Node.js (api/) | 🟡 Under evaluation |
| AI / Agent | MCP + Skills. | ✅ Confirmed |
| CI/CD | GitHub Actions | ✅ Confirmed |
The stack is planned and may evolve as the platform takes shape.
Contributions are what make the research community vibrant — fixes, new methodology guides, and improvements are all welcome. Please read CONTRIBUTING.md for the workflow, local checks, and our Conventional-Commit + AI-assistance conventions.
In short: fork → branch off main → run npm run lint and npm run build in web/ → open a PR with a Conventional-Commit title.
Distributed under the Apache License 2.0. See the LICENSE file for details.