Research Cell: An International Journal of Engineering Sciences

Vikas Sharma ¹

Affiliations
1 International Centre for Distance Education and Open Learning, Himachal Pradesh University, Summer Hill, Shimla, IN

Abstract

The Unique Identification Authority of India (UIDAI) with a launch of a nationwide Unique Identification Project named "Aadhaar," is perhaps one of the biggest projects in the world so far to provide a unique identity to its residents based on demographic as well as on biometric data. This project has opened the doors for people to avail benefits of various government sponsored schemes related to employment guarantee, access of public distribution system, micro-banking, health insurance, free education for children, etc. The present paper has highlighted the potential benefits of "Aadhaar" to the unprivileged people who had to prove their identities at every step to avail benefits of social welfare schemes and access public distribution system, etc. But the implementation of Aadhaar has also associated with challenges such as management of huge database of billion of people where enrollment, updating and authentication will go on side by side in addition to involvement of technological and strategic risks, and proper usage of UID System at the low level by various state agencies. There is need to have a strong coordination between UIDAI and state governments at the top level and between registrars, sub-registrars and enrolling agencies at the bottom level to have a complete and good quality data for enrolling and authentication of residents.

Keywords

UID, Aadhaar, UIDAI, CIDR, Biometric, Iris, Fingerprints, De-Duplication.

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A. J. Singh ¹, Balvir Singh Thakur ¹, Rajesh Chauhan ¹, Vikas Sharma ²

Affiliations
1 Department of Computer Science, Himachal Pradesh University, Shimla-5, IN
2 Himachal Pradesh University, Shimla-5, IN

Abstract

The main objective of database analysis, design, and implementation is to establish an electronic repository that faithfully represents the conceptual and logical model of the manageable aspects of a user's information domain. The main goal of data engineering is to put quality data in the hands of user. This paper defines the common dimensions of data quality along with the Framework for database that represents the hierarchy of database quality dimensions including Process, Data factor, Model and behavioral factors.

Keywords

Data, Database, Database Quality, Domain Knowledge, Information, Quality, Semantic Model.

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