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The application of data and their assimilation with solving social problems, enabling better governance and powering elected governments to serve their citizens better is ushering in a new revolution. When Artificial Intelligence is coupled with open data, a real paradigm shift begins. With choice and information-sharing now redefining consumer behaviour, every company is looking to embrace or at least look like it is embracing the new paradigm of data-driven innovation. The “audacity of hope” for a country of a billion aspirations is yet to bear result.
What is Open government data?
Privacy and consent in using open government data:
Open government data: A National Asset:
Government Efforts and current position:
Conclusion:
Therefore, Five-point framework to fill the gaps of Open Data Project:
Proposed a 5C framework can able to address the current underlying execution gaps of the Open Data project, and believe it can help India achieve its stated objectives:
To double farmers’ incomes by 2022 and provide universal health coverage and micro loans to micro, small and medium enterprises, promoting Digital India, start-up India, Make in India, even women empowerment among others.
1. The first step is to ensure completeness of data stacks opened for use either through machine-readable formats or direct APIs. Completeness would imply a data set. For example, soil data cards will have data on all relevant aspects as well as current emerging technologies such as Blockchain and the Internet of Things to provide the opportunity to automate data collection.
2. Comprehensiveness of a data stack is essential. For example, a comprehensive agri-data set would have digitised data sets on soil data, rainfall, crop production as well as market rates. Currently, data sets shared in India are somewhat disjointed and not comprehensive.
3. Clustering of relevant data sets and APIs would be the next step. This would mean combining data sets which can lead to the creation of applications such as farm insurance from weather, soil and crop cycle/sale data. Therefore, technology developers have a road map of “innovations in focus” for national development.
4. The fourth step is building anchor cases or use-cases to encourage data usage. A case in point is Aadhaar/identity data which has seen exponential growth (post identification in e-KYC). Taking the Aadhaar case further, its API has led to the development of market applications, an Aadhaar-enabled payment system, and direct benefit transfers among others which are clearly pushing the “financial inclusion” drive.
5. The final step would be setting up a comprehensive governance framework which includes an open data council with cross-sector representation to monitor, regulate and build usage after proportionate oversight. The time is now ripe for the government to create a data-driven governance architecture by building digital trust in the economy and its intent.
6. The government is committed to make best use of big data in establishing rule of precision governance. While doing so every care would be taken to ensure that strict privacy rights of individuals are protected. However, unauthorised use of data would be dealt with iron-hand to ensure that nothing comes in the way of making data-analytics a national movement.
7. The big data analytics should focus on poor & under privileged and facilitate inclusive growth. While aiming at taking lead in data analytics it must be ensured that technology is inclusive, affordable, transformative & developmental. OpenGovDataHack being taken up in states would catalyse further start up movement.
By: Priyank Kishore ProfileResourcesReport error
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