Code for Nepal and Open Data
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Code for Nepal is a non-profit organization that was launched in 2014 to increase digital literacy and use of open data in Nepal. Run by volunteers from around the world and co-founders Mia and Ravi, it focuses on increasing digital literacy, building apps to improve lives, increasing access to open data, and supporting the right to information. Some of its products include NepalMap, AskNepal, Election Nepal, and Digital Nepal. It also provides digital empowerment training and supported relief efforts after the 2015 Nepal earthquake.
Code for Nepal and Open Data
- 1. Code for Nepal Empower Nepal by increasing digital literacy and the use of open data Nikesh Balami AskNepal Lead @ Code for Nepal www.neekes.com.np
- 2. About Us ● February 2014 - Launched at Open Data Day. ● Code for Nepal is a 501(c)(3) non-profit organization registered in the U.S. ● Co-Founders Mia and Ravi. ● Volunteers from all over the world.
- 3. Our focus 1. Increasing digital literacy. 2. Building apps to improve lives. 3. Increasing access to open data. 4. Right to information.
- 4. Developing Tools, Building Community, Empowering Youths and Collaboration
- 6. Our products 1. NepalMap 2. AskNepal 3. Election Nepal 4. Digital Nepal
- 8. AskNepal
- 9. NepalMap
- 10. Election Nepal
- 12. Open Data
- 13. What do we mean by open? A piece of data or content is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and / or share-alike” - http://opendefinition.org/
- 14. Open Data Open Data involves ● the proactive disclosure of information; ● the Internet being the primary medium for such disclosure; ● information being made available for access and for reuse free of charge and; ● information being made available in a machine-readable format to enable computer-based reuse.
- 15. Why Open Data? ● Innovation, Efficiency and Transparency ● The Many Mind Principle -The best Thing to do with your data will be thought of by someone else. ● Fixing is Faster with Open Data -To many eyes all bugs are shallow.
- 16. Data Process?? 1. Prepare 2. Analyze 3. Apply
- 17. 1) Prepare - Ask Question - Collect Data - Organize Data - Cleanse Data
- 18. 2) Analyze - Find Patterns - Find Relationship - Filter Data - Summarize Data - Calculate Formulas - Create Charts
- 19. 3) Apply - Make Decision - Share Results - Visualize Data
- 20. The future is Open Let's make a world where Digital knowledge creates power for the many not the few. This is the world we choose
- 22. Thank You!!