Open Data - What and How??
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Open data is defined as data that can be freely used, reused, and redistributed, with minimal restrictions. To make data public, it is important to standardize formats, ensure accessibility, and mandate metadata and licensing requirements. The data processing workflow includes preparation, analysis, and application stages to effectively utilize the data.
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Open Data - What and How??
- 1. Open Data What and How?? Member | OK Nepal Nikesh Balami www.neekes.com.np
- 2. 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/
- 3. How to Make it Public?
- 4. Mandate data formats for maximal technical access
- 5. Provide comprehensive and appropriate formats for varied uses
- 6. Remove restrictions for accessing information
- 7. Mandate data be explicitly license- free
- 9. Mandate the use of unique identifiers
- 10. Require code sharing or publishing open source
- 11. Require digitization and distribution of archival materials
- 13. Create public Application Programming Interfaces (APIs) for accessing information
- 14. Optimize methods of data collection
- 15. Mandate ongoing data publication and updates
- 16. Create permanent, Lasting access to data
- 17. Data Process?? 1) Prepare 2) Analyze 3) Apply
- 18. 1) Prepare - Ask Question - Collect Data - Organize Data - Cleanse Data
- 19. 2) Analyze - Find Patterns - Find Relationship - Filter Data - Summarize Data - Calculate Formulas - Create Charts
- 20. 3) Apply -Make Decision - Share Results - Visualize Data