C810: Chapter 3 - Governing Data and Information Assets
The ___________ developed through architecture data management -- such as data models, use cases, data flow diagrams, and data dictionaries--are as important to data management as the blueprints prepared by an architect are to building design and maintenance
"artifacts"
The executive governance council at ABQ General is developing the organizational structure for the new DG function. Which party would the team assign responsibility for overall coordination of the DG program
--DG steering committee
A typical data life cycle includes the following stages:
--data planning --data inventory & evaluation -- data capture -- data transformation & processing --data access & distribution --data maintenance --data archival --data destruction
three core programmatic structures supporting IG
--enterprise information management --IT governance --data governance
The 3 major parts of the DGI framework
--rules and rules of engagement --people and organizational bodies --DG processes
Lowest level of adoption under IGAM
1 - "At risk"
Rules of engagement in DGI framework (8)
1 Creating a Mission Statement 2 Developing DG goals 3 Establishing DG metrics 4 determining funding strategies 5 developing data rules and definitions 6 assigning decision rights 7 assigning accountabilities 8 establishing controls
The four-level organizational structure proposed for implementing IG is similar to DG implementation:
1 Executive Level 2 Strategic Level 3 Tactical Level 4 Operational Level
AHIMA provides a process map that outlines the six high-level steps for initiating and maintaining an IG program:
1 Gain Executive Support 2 Engage Business Stakeholders 3 Assess Current State 4 Establish goals and priorities for improvement 5 Implement Change 6 Reassess/Measure Impact of Change
5 levels in the ARMA international IG Maturity Model. These are used to measure progress in the GARP principles
1 Substandard 2 In Development 3 Essential 4 Proactive 5 Transformational
8 IGPHC principles for healthcare
1 accountability 2 transparency 3 integrity 4 protection 5 compliance 6 availability 7 retention 8 disposition
The following DG processes are considered best practices that should be incorporated into any DG program:
1 aligning policies, requirements, and controls 2 establishing decision rights 3 establishing accountability 4 performing stewardship 5 managing change 6 defining data 7 resolving data issues 8 specifying data quality requirements 9 building governance into technology 10 providing stakeholder care 11 communications and program reporting 12 measuring and reporting value
metadata management
1. Managing data dictionaries 2. Establishing enterprise metadata strategy 3. Developing policies, goals, and objectives for metadata management and use 4. Adopting metadata standards 5. Establishing and implementing metadata metrics 6. Monitoring procedures to ensure metadata policy implementation
Highest Level of adoption under IGAM
5 "Actualized"
master data management
A process that provides companies with the ability to store, maintain, exchange, and synchronize a consistent, accurate, and timely "single version of the truth" for the company's core master data.
IGPHC were proposed by __________ in _________-
AHIMA ; 2014
two examples of INFORMATION governance frameworks
ARMA international IG Maturity Model AHIMA Information Governance Toolkit 3.0
ARMA international
Association of Records Management and Administrators International
_______________ is defined as a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise user make better business decisions
Business Intelligence (BI)
data quality management
Business processes that ensure the integrity of an organization's data during collection, application (including aggregation), warehousing and analysis.
the _____________ reports the status of the DG program to the executive data governance council
DG steering committee
DGI Framework
Data Governance Institute framework
ARMA international IG framework
GARP (Generally Accepted Recordkeeping Principles)
IGAM
IG Adoption Model
Like ARMA IG Maturity Model, AHIMA has developed an IG maturity model called
IGAM
IGAM
Information Governance Adoption Model (IGAM) - developed by AHIMA
IGPHC
Information Governance Principles for Healthcare
business intelligence
Information collected from multiple sources such as suppliers, customers, competitors, partners, and industries that analyzes patterns, trends, and relationships for strategic decision making
Success measures, often called ________________ , are developed to assess the effectiveness of a DG program
KPIs (key performance indicators)
_______________ refers to master data that an enterprise maintains about key business entities such as customers, employees, or patients and to reference data that is used to classify other data or identify allowable values for data such as codes for state abbreviations or products
Master data management
MIKE2.0
Method for Integrated Knowledge Environment (example of a DG framework)
data security management
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.
which level in the organizational structure consists of multidisciplinary senior leader stakeholders & establishes the IG charter?
Strategic Level
Under the IGAM, __________ are evaluated on a scale of one to five, with one being the lowest level of adoption labeled "at risk" and with five being highest level of adoption labeled actualized
THE IG Competencies
the ____________ is usually composed of representatives from various business or functional organizational units. This group serves as the coordinating body for the DG program
The DG Steering Committee
content management
The processes involved in organizing information resources so they can be stored and used.
terminology management
The systematized collection of concepts and terms with the purpose of unifying and standardizing technical documentation; language planning that creates a consistent terminology and voice, while minimizing ambiguity
data life cycle management
a policy-based approach for regulating the flow of an information system's data throughout its life cycle; from creation and initial storage to being obsolete and deleted.
In addition to the IGAM assessment tool, AHIMA provides a ___________ that outlines the six high-level steps for initiating & maintaining an IG program
a process map
_____________-- is process that identifies and analyzes the attitudes or opinions of stakeholders
a stakeholder analysis
AHIMA has developed _______________. This is an assessment tool to help organizations evaluate the sophistication of their IG program against 10 key IG competencies to determine where improvements are needed
an IG maturity model called IGAM (Information Governance Adoption Model)
The purpose of ______________ within an organization is to influence the behaviors of the organization stakeholders toward the effective and efficient use of data and information to support the organization's strategy and meet its goals
both data and information governance
_______________ encompasses managing both structured and unstructured data
content management
__________ are measures and functionality established for the purpose of preventing and mitigating risks
controls
data and information governance are defined as a subset of ____________
corporate governance
Data stewards may be organized in program teams focused on specific initiatives that support the organization's DG mission and scope. usually these teams are ______, meaning they are composed of people that represent different business units, including IT
cross-functional
The _________________________ domain assumes that data are essential components in complex systems and, as such, require abstractions and models to describe data and the relationships among data and the processes they support
data architecture domain
The principal domain that governs all other data management domains is
data governance
Most DG efforts are supported by a _____ that is led by an individual with the title of CDO or DG program director and has a staff that administratively supports efforts of the various DG committees, maintains DG documentation, and provides communication among all DG parties
data governance office (DGO)
_________________ are specific steps or actions taken to achieve a goal or outcome. They are the steps required for governing data and ensuring compliance with DG policies and standards
data governance processes
DAMA
data management association
Today, DG is accomplished through formal organizational structure and applies to several data management functions. The areas are commonly referred to as ______________ or ________________
data management domains or data management knowledge areas
________________ is characterized as a continuous process setting standards, building quality into the processes that create, transform, and stored data, and measuring data against standards
data quality management
______________ is the process in which organizations implement protection measures and tools for safeguarding data and information from unauthorized, accidental, or intentional modification, destruction, or use.
data security
________________ includes policies and procedures that address confidentiality and security concerns of organizational stakeholders while accommodating legitimate access needs.
data security management
____________ are those who have an interest in organizational data
data stakeholders
_____________ is a formalization of accountability for data across its life cycle
data stewardship
Typically, the DG program is led by a high-level committee, frequently referred to as the _______________. This group of senior-level managers and executives is responsible to make the business case for the DG program
executive data governance council
data
facts
The term "information governance" was first used scientifically by NHS England as a framework for governing _________________
for governing security & confidentiality for electronic health systems
Like GARP, the IGPHG is a _______________ for an IG program and does not specify how an IG program should be implemented
high-level framework
data architecture
how an enterprise's data stores are organized and accessed
data governance (DG) relates to
input (data) into an IS
knowledge
learning, interpretation, and pattern recognition
The 5 levels of deployment in the ARMA international IG Maturity Model are use to
measure progress of each GARP principle
ABQ General specified that MRNs are 9 characters long. How to describe the standard for MRNs
metadata
information governance (IG) related to
output of an IS
Operation of a DG program depends upon having rules in place for program operation. Rules are a set of principles and regulations; examples include policies, standards, controls, and accountabilities. ______ specify the way that policy makers, data owners, data stewards, and other stakeholders interact with each other.
rules of engagement
Business Intelligence (BI) systems use __________ extracted from organizational transaction databases that are stored in data warehouses
structured data
_________________ commonly refers to data that are organised and easily retrievable and interpreted by traditional databases and data models
structured data
_______________________- consists of the processes for managing the breadth of healthcare terminologies, vocabularies, classification systems, and data sets that an organization may use and also serves as a terminology authority for the enterprise
terminology and classification management
Which data management domain is unique to healthcare?
terminology management domain
Since master and reference data are used across the entire organization, it is critical _______________
that they be consistent
_____ is an essential principle of computer information and library sciences
the data, information, knowledge, and wisdom (DIKW) hierarchy
wisdom
understanding principles
information
understanding relationships or context
______________ are data that do not have a predefined data model or are not stored in a traditional database structure. They are typically found in documents, emails, and images.
unstructured data
