. A few common areas needs to be covered by data governance policies are:

Data quality – ensuring data is correct, consistent and free of “noise” that might impeded usage and analysis.

Data availability – ensuring that data is available and easy to consume by the business functions that require it.

Data usability – ensuring data is clearly structured, documented and labeled, enables easy search and retrieval, and is compatible with tools used by business users.

Data integrity – ensuring data retains its essential qualities even as it is stored, converted, transferred and viewed across different platforms.

Data security – ensuring data is classified according to its sensitivity, and defining processes for safeguarding information and preventing data loss and leakage.

Draft national data governance framework policy is very important and necessary for privacy of individuals. Every individual want some privacy and there must be some policy to protect privacy of individuals. Privacy is very important for all of us and we should take necessary actions to make our decisions more accessible and more secure. our suggestions are very important for privacy of individuals and bussiness man. Every business growth when we maintain privacy of our data. our data are our strength and power. we want nobody can steal our data so we want Draft national data governance framework policy for betterment of people of country. our idea for implementation of privacy policy is for consumers rights who want to know about their personal information and services.

In modern cyber era the data security and personal details security is much more concern in our country becoz many free pull platforms stealing the users valuable data and playing with users integrity also. So for concern of users data security and country security it’s much important to make the things more better secure

India must have its own indigenous technology in security issues. we need to focus on it and should protect our citizens interests.

Nowadays everything is digitalized and the entire world is facing Data stealing. Particularly Today's innovation in technology will become tomorrow's fish for hackers.Hacking is very much influencing and many big data companies are facing this problem.Hence we need to think of security at different levels. Particularly Banking& financial institutions and transactions must be safeguarded from cyber thefts and hacking.Many fraudsters and hackers are stealing data and there was much loss and we cannot stop those.It is everyday's challenge. Hence we need to think of our security in using technology. When we believe something new,that must be tested, verified,and finally approved in terms of strict security by testing that technology in all aspects.We shouldn't believe on foreign technology particularly like china etc. Because we may be cheated and in future in defence and other security point of view we may be caught hold.So too much of dependency on foreign technology will harm to us.

What are the Challenges of the New Draft?
The composition of the IDMO and the process have not been made clear in the new draft policy.
Experts also said that private companies may not voluntarily share non-personal data.
There may be trade and intellectual property issues.

What is the India Data Accessibility and Use Policy?
The old draft — ‘India Data Accessibility and Use Policy’ had proposed that data collected by the Centre that has “undergone value addition” can be sold in the open market for an “appropriate price”.
It faced widespread criticism with questions being raised about the government collecting data to monetise it in the absence of a data protection law in India.

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Data collection and storing can be done in three tier system at local level general descriptive data can be collected in the form of questionnaires both online or offline way which suit better depending environmental accessibility at second level data storing and analysis can be done on the basis of this output short summarised data can be send to final level storing at national level when required reverse process can help to get descriptive data

UID based public feedback can be invited to check the grassroot implementation of policies based on data collection and on the basis of data collected modification if any can be done or lapses can be find easily