Data is considered as a raw entity which has
impacted multidisciplinary research endeavors as well as
government in developed and developing countries. Data
is getting generated from a giant stock market to a tiny
smart mobile phone. Hence, we are in the era of big data
where data sets are characterized as Voluminous, variety,
veracity, and Velocity.
Today generating data from various sources is a
matter of time and requirement. The data collected are
easily analyzed through various intelligent models
proposed by researchers based on the application
Once data gets accumulated, one must take care of
data governance, data ownership and data anonymity.
With the advent in technology and growth of AI & ML,
researchers did not concentrate on give back the analysis
report to source of data generation point. Hence data
governance, data ownership and data anonymity are all at
To this end, the paper aims to develop a data
governance model which takes care of data ownership and
tags data with source of availability. This is possible if
data is finger-printed at the source of generation, thereby
the ownership is confirmed, anonymity does not exist, and
analysis report is back with the owner for improvement
or modifying the existing system.
Keywords : Data Governance, Data Ownership, Data Anonimity, Privacy, Data Finger Printing.