The ODI Maturity Assessment Tool is a web-based application designed to help organisations assess their maturity across various data-related domains. The tool currently includes the Open Data Maturity Model assessment, with upcoming models including the Data Ethics Maturity Model and the Data Practices Maturity Assessment.
- Overview
- Features
- AI-Powered Summaries
- Available Assessments
- Installation
- Running the Application
- Usage
- Contributing
- License
The ODI Maturity Assessment Tool is designed to support organisations in understanding their current capabilities in managing and utilising data. By using this tool, organisations can assess their maturity levels, identify areas for improvement, and track progress over time.
- Interactive Assessments: Users can interact with assessments to evaluate their organisation's maturity.
- Progress Tracking: Track progress over time and view historical assessments.
- Detailed Reporting: Generate detailed reports that summarise the assessment results and provide actionable insights.
- AI-Powered Summaries: Automatically generate human-readable summaries for each activity, dimension, and an executive overview using advanced AI capabilities.
- Customisable Assessments: Upcoming features will allow for more customisation in assessments and evaluation criteria.
For each activity within an assessment, the tool generates an AI-driven summary. These summaries highlight areas where the organisation has shown progress and suggest improvements needed to reach the next level of maturity. This feature helps users quickly understand their current standing without diving into the detailed responses.
The AI also provides summaries for each dimension within the assessment. These summaries aggregate the insights from individual activities, offering a broader perspective on how the organisation performs across a particular domain.
At the top level, the tool generates an executive summary. This overview distills the key findings from all dimensions into a cohesive narrative, offering high-level recommendations and insights for strategic decision-making.
This model assesses an organisation's maturity in publishing and using open data. It helps organisations understand where they are on their open data journey and what steps they need to take to progress.
This model will help organisations assess their maturity in handling data ethically, ensuring that data practices are aligned with ethical standards.
This assessment will evaluate an organisation's data practices across key areas of data governance and management.
Before installing the ODI Maturity Assessment Tool, ensure you have the following installed on your system:
- Node.js (v14.x or later)
- npm (v6.x or later)
- MongoDB (Ensure you have a running MongoDB instance)
-
Clone the Repository
git clone https://github.com/yourusername/maturity.theodi.org.git cd omaturity.theodi.org
-
Install Dependencies Install the necessary Node.js packages by running:
npm install
-
Configure the Environment Variables Create a
config.env
file in the root directory and add the following environment variables as well as login method:NODE_ENV=development PORT=3000 MONGODB_URI=mongodb://localhost:27017/odi_maturity_tool SESSION_SECRET=your-secret-key OPENAI_API_KEY=your-openai-api-key
Replace
your-secret-key
andyour-openai-api-key
with your own secure values.
Once the installation is complete, you can start the application with:
npm start
The application will be accessible at http://localhost:3000
by default.
- Open Data Maturity Model: Navigate to the assessment section and select the Open Data Maturity Model to start the evaluation.
- Upcoming Assessments: Look out for updates that will introduce new assessments like the Data Ethics Maturity Model and Data Practices Maturity Assessment.
After completing an assessment, you can generate a detailed report with AI-powered summaries. These summaries are automatically generated for each activity, dimension, and an overall executive summary, providing actionable insights and recommendations.
Reports can be downloaded in various formats, such as JSON or DOCX, for further analysis.
We welcome contributions from the community! If you'd like to contribute, please follow these steps:
- Fork the repository.
- Create a new branch (
git checkout -b feature/your-feature-name
). - Make your changes.
- Commit your changes (
git commit -am 'Add new feature'
). - Push to the branch (
git push origin feature/your-feature-name
). - Create a new Pull Request.
This project is licensed under the MIT License. See the LICENSE file for details.