Computer Science Assignment PDF

Running head: COMPUTER SCIENCE
Computer Science
[Name of the Student]
[Name of the University]
[Author note]

COMPUTER SCIENCE1
Introduction:
Data ownership generally refers to the process of having rights that are legal along
with having an overall control of a particular portion of the data or over the dataset elements.
Data ownership is associated with providing information about the entities who are the
rightful owner of the data assets and the acquisition, along with the usage and distribution of
the policies which assets that determined by the data owners.
Data ownership can also be considered to be the primary data governance process that
is responsible for providing information or details about the legal ownership that the
organization is having upon the data spread all across the enterprise [1]. The particular
organization or the data owners are having the capability of creating editing, modifying
sharing and lastly restricting the data access. Data ownership is also associated with defining
the ability of the data owners to assign or share or surrender all the privileges to the third-
party users.
Discussion:
Implementation of this concept is seen in organization of different sizes which ranges
from medium to large enterprise which are having huge repositories of distributed or
centralized data elements. The data owners are also associated with claiming the possession
as well as the copyright of such type of data so as to make sure that they are having control
over the data and to have the right of taking legal actions in cases when the ownership is
illegitimately breached by entities both external as well as internal.
There are several issues which come forward when the ownership is being distributed
throughout an enterprise [2]. A model has been proposed regarding the ownership where the
critical point revolves around the values.

COMPUTER SCIENCE2
Types of data ownership models
The centralized ownership models are consisting a single entity who are entirely
accountable for owning all the data of an enterprise. Centralization is associated with the
implication of the fact that all the activities related to the ownership activities is to be
coordinated from one single control point. Besides this the metadata coordination, along with
sourcing of the information and many more are also done from a single control point. The
benefits of the centralized ownership include added values along with the determining if the
costs that is related to the centralization [3]. The costs mainly involves the increased
overhead management, integration of the system, bureaucracy and many others. The major
benefit of this standardization of the enterprise regarding the data and the systems, the
capability of using the merged data so as to discover more knowledge and increase in the
leverage while dealing with the suppliers of external data.
The decentralized model would be consisting of the different roles of ownership
which are assigned to the entities having various areas of interest. Decisions needed for
choosing the decentralization is mainly associated with the implication of the fact that, the
services which are having added value and are received from the centralized data control is
greater than the offset provided by the costs related to it. Contrarily it is observed that the
organization are not explicitly opting for the decentralized control. So, the major question
that is put forward due to this reason is that the weather the migration form the decentralized
ownership model to the centralized ownership model would be associated with increasing the
value that the enterprise knowledge base is having or not.
Solution to the question sated above is very easy. For doing that a process of
identification is to be involved for the parties interested and are associated with all the data
sets [4]. Besides this the interest of each party is to be identified along with the roles which