Govt should promote research based projects on Data Governance on success of these projects school and college courses may be formed to train future generation data governance

for the issue of caste and income certificates application should be in online form , which must be linked to pan and addhar

Very good step

It is a good step to draft a national Data governance framework policy. All the good suggestions should be incorporated in it. It should be according to the current and emerging technology needs of the decade.

इंडिया इन स्पेस डाटा अंतरिक्ष क्षेत्र में क्रांति आवश्यकताओं के अनुसार एकीकरण प्रतिभाशाली युवाओं के लिए अवसरों के नए द्वार खोलेगा l

भारत में डाटा पालिसी के अनुसार 5G और अन्य तकनीकी विकसित हो रही है डिजिटल डाटा सुधारों की प्रक्रिया निरंतर जारी रहेगी l

PAN is linked to Aadhaar, Voter ID is being linked to Aadhaar. Bank accounts are linked to PAN and Aadhaar both. When it is all linked up why shall we maintain three different data sets? Now there shall be one unique ID incorporating all data of Indian citizens. If a person gets registered with Aadhaar, there is no need to apply for PAN or Voter ID. In any case companies have separate IDs. Government collects some data for a particular purpose then it should destroy the data which is no more useful or when the data has served its purpose. Government shall get rid of useless data. Maintaining the data costs huge amounts of money. IDMO shall make a policy to review the stored data and it's relevance.

1) Have Logical Integrity of data to make sense in context & prevent duplication. Like Domain integrity using zip code, Entity integrity using Aadhar, Referential integrity using foreign key/finger scan, User defined integrity using personal questions etc. 2) Ensure data alignment in common language from different software legacy systems, data lakes, RDBMS, data warehouse, cloud based apps, drones etc. 3) Protect data from Human Errors, HW & Infra issues, Transfer errors, cyber threats, security issues, data in-accuracies. 4) Data must be timely up to date always & unique & is validated with right data source. Poor data quality may cost $50Mper year. 5) Have Insurance policy of Data. 6) Back up of data with date wise versions in multilocation data centers. 7) Have regular Testing of vulnerabilities. 8)Automate validation of datasets in bulk with activity & change detection. 9)Dont be technology dependent as it is always getting advanced.10)Have Data Governance Act to benefit citizen

1) Ensure compliance with Sox, Basel 1/2, GDPR, Hipaa etc for international data manage. 2) Enable Re-use of data. 3) Appoint Chief Data Officer to oversee execution. 4) Define process to discover Data determining current state, dependencies, technical capability, flow in data life cycle, Data definition, relationship, taxonomy, areas of improvement. 5) Build a community to take responsibility for data quality who understand to make data usable thru data sets. 6) Improve File Folder security of data in cloud. 7) Have database firewall, user rights management, data masking & encryption, user behaviour Analytics, activity monitoring, alert prioritisation for security events using AI. 8) Have process for data sharing, quality monitoring, data issue tracking, testing,data storage requirements,naming standards, data leakage/breaches, data literacy, improve agility in data lineage. 8) Have Data Governance Board for tactical practice to leverage data as country asset. 9) Data Audit Management

very good task