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The Data Science Without Borders (DSWB) Ways of Working document is a guideline for the community and enthusiasts on what we do, how we work, the various roles and responsibilities of community members, and our methods of communication. It also includes our schedule, resources, and community diversity guidelines.
- Vision: Our vision is to foster best practices in data, making them in the open, encouraging collaboration, participation and community, while creating sustainability for these practices.
- Mission: Our mission is to create and strengthen data systems, while implementing open source/science best practices and nurture systems that run instinctively on these practices.
Data Science Without Borders (DSWB) is an international initiative, funded by the Wellcome Trust and led by the African Population and Health Research Center (APHRC). This project has three overarching objectives: to strengthen data systems in Pathfinder countries, to create a sustainable environment for collaborative AI/ML platforms, and to create a user-friendly platform for AI and Machine Learning (AI/ML) tools. The impact of inequality in data availability and access is evident, particularly in resource-limited settings like many African nations. This African institution-led initiative will leverage artificial intelligence and machine learning (AI/ML) to bridge existing gaps in data accessibility, infrastructure, and expertise. It aims to foster a collaborative environment that empowers African nations to harness the full potential of AI/ML for improving health outcomes.
- Goals: Clear overview of overarching and short-term goals.
- Outcomes: Description of expected results and deliverables.
- Members: List of team members and their roles in the project.
- Roles & Responsibilities: Team Directory outlines roles, responsibilities and their ways of working.
- Guidelines: Contribution Guidelines for contributors.
- Code of Conduct: Code of Conduct ensures a respectful project environment.
- Resource Plans: Details on available resources and recommended practices for the project team.
This project is licensed under the MIT License, and the Creative Commons Attribution 4.0 International Public License - see the LICENSE.md file for more details.
- Citation Instructions: How to cite the project.
- Acknowledgment: Recognising contributions by different members.
Reach out to Malvika Sharan and Precious Onyewuchi from OSPO Now and Miranda Barasa from APHRC.