Exam (elaborations)
Data & Information Governance
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Data & Information Governance
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Data & Information GovernanceData Governance Answer: the overall management of the availability, usability, integrity, and
security of data employed in an organization or enterprise
Information Governance Answer: The accountability framework and decision rights to achieve
enterprise information management (EIM). IG is the responsibility of executive leadership for developing
and driving the IG strategy throughout the organization. IG encompasses both data governance (DG) and
information technology governance (ITG)
Data, Information, Knowledge and Wisdom (DIKW) hieratchy Answer: an essential of computer
information and library sciences, in this hierarchy data are facts and when a fact is related to some other
fact (data), the relationship produces a piece of information; each level in the hierarchy is dependent on
the previous levels.
Enterprise health information management Answer: (1) Ensuring the value of information assets,
requiring an organization-wide perspective of information management functions; it calls for explicit
structures, policies, processes, technology, and controls.
(2) The infrastructure and processes to ensure the information is trustworthy and actionable
Data Life Cycle Answer: made of series of successive stages and has beginning and end points, a
typical cycle includes the following stages: data planning, data inventory and evaluation, data capture,
data transformation and processing, data access and distribution, data maintenance, data archival, data
destruction
Data Architecture Answer: an integrated set of specification artifacts (models and diagrams) used to
define data requirements, guide integration and control of data assets, and align data investments with
business strategy
, Artifacts Answer: developed through architecture data management such as data models, use
cases, data flow diagrams, and data dictionaries, these abstractions and models are used describe data
and the relationships among data and the processes they support
Metadata Answer: Descriptive data that characterize other data to create a clearer understanding
of their meaning and to achieve greater reliability and quality of information. Metadata consists of both
indexing terms and attributes. Data about data: for example, creation date, date sent, date received, last
access date, last modification date.
Master data management Answer: master data that an enterprise maintains about key business
entities such as customers, employees, or patients, and reference data that is used to classify other data
or identify allowable values for data such as codes for state abbreviations or products
Content Management Answer: The management of digital and analog records using computer
equipment and software. It encompasses two related organization-wide roles: content management and
records management
Structured Data Answer: Data that are organized and easily retrievable and interpreted by
traditional databases and data models; data that can be captured in a fixed field; data that are
comprised of values that can be stored as either numbers or a finite number of categories.
Unstructured Data Answer: Nonbinary, human-readable data
Data Security Answer: The process of keeping data, both in transit and at rest, safe from
unauthorized access, alteration, or destruction
Data Security Management Answer: Policies and procedures that address confidentiality and
security concerns of organizational stakeholders (for example, patients, providers, and employees),
protecting organizational proprietary interests, and compliance with government and regulatory
requirements while accommodating legitimate access needs.
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