Study international best practices of agricultural startups using agricultural data provided by public sector
Evaluate good examples of successful private companies using public-supported agricultural data and share the ideas among public agricultural organizations
Ensure readiness of the datasets potentially used by startups
Collaborate with the owners of the datasets on NAIS to identify high-value datasets potentially can be used to foster new startup companies (e.g., meteorological data from TMD, livestock plague information from DLD, map data from LDD), additional inputs can also be learned from expert interviews, focus groups, and hackathons
Evaluate the completeness and quality of the datasets and close identified gap, if needed
Collaborate with EGA to prepare the datasets in API-ready format
Establish partnerships with relevant public and private organizations to seek for and foster Thai agricultural startups
Collaborate with NIA and other private startup incubators to develop specific campaign to nurture startup companies using agricultural data provided by the government
Continuously support and promote agricultural startups under this initiative
Ready to collaborate with new agricultural startup that would like to try make business which requires information / data from public agricultural information system or databases
Continuously support and help the startup companies to set up robust business after tryout period