Disaster response Open database

1. Introduction

• Brief overview of the importance of data in disaster response
• Explanation of the concept of open data and its relevance to disaster response

2. Key Areas of Data Needs for Disaster Response

• Energy and Water Procurement
  • Types of energy and water needed during disasters (e.g., generators, fuel, bottled water)
  • Sources of supply (e.g., manufacturers, distributors, emergency stockpiles) * Corrected to add a specific example of "emergency stockpiles" *
• Prosthesis and Assistive Devices
  • Types of assistive devices needed for disaster victims (e.g., prosthetic limbs, wheelchairs)
  • Availability of specialised equipment and expertise
• Repair and Spare Parts for Manufacturing of Machinery
  • Types of machinery used in disaster response (e.g., heavy equipment, medical equipment)
  • Sources of spare parts and repair services
• Big Small Scale of Protective Bio-Hazard Equipment
  • Types of protective equipment needed for bio-hazards (e.g., PPE, decontamination supplies)
  • Availability and manufacturing of specialised equipment and expertise

3: Database Structure

• Manufacturing Locations
  • Geographical coordinates and locations of manufacturing facilities
  • Types of products manufactured at each location
• Manufacturing Equipment
  • Types of equipment used in production (e.g., 3D printers, machining tools)
  • Availability of spare parts and maintenance services

4: Benefits of Open Data in Disaster Response

• Improved Situational Awareness
  • Access to accurate and timely data enables more effective decision-making during disasters.
• Enhanced Collaboration
  • Sharing of open data fosters cooperation among stakeholders, including governments, NGOs, and private sector entities.

5. MVP

• Make a test run for the regions of Egypt and France.
• Create an scenario where a pandemic has strike and items are needed in hospitals.
• Base on the interaction study from Hackaday Prize and other research UI determine the actions and functions to gather:
  
  
  • A Portable document holding manufacturing product intelligence. (Product A)
    
    • Data of locations.
      • Maker/Fab Repairing spaces.
      • Machining services.
      • Catalogue of machines and quantities.
      • Skilled people. (Skills)
      • Catalogue of Projects/Products made/deployed in the area.
      • Repairing spaces.
    • Map visualisation tool: Kepler.Gl
    • with a data analysis and data resume.
  • A brief guideline on how to use the data. (Product B)
  • A database setup and forms for the collection of new data. (Product C)

Current challenges:

Get African Makers to engage and participate.