Chapter 3 - Data Governance Stewardship Flashcards
Accountability
The state of being liable for a specific activity; all information is attributable to it source (person or device).
Artifacts
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.
Business case
An economic argument, or justification, usually for a capital expenditure.
Business intelligence (BI)
The end product or goal of knowledge management.
Content Management
The management of digital and analog records using computer equipment and software. It encompasses two related organizationwide roles: content management and records management.
Controls
One of the four management functions in which performance is monitored in accordance with organizational policies and procedures.
Cross-functional
A term used to describe an entity or activity that involves more than one healthcare department, service area, or discipline.
Data architecture
An integrated set if specification artifacts (models and diagrams) used to define data requirements, guide integration and control of data assets, and align data investments with business strategy.
Data governance
The overall management of the availability, usability, integrity, and security of the data employed in an organization or enterprise.
Data governance steering committee
Composed of representatives from various business or functional organizational units, this group serves as the coordinating body for the data governance (DG) program; it develops the goals of the DG programs, identifies and sequences project and task priorities, coordinates the data steward committees, monitors DG program outcomes, recommends policy and standards, and reports the status of the DG program to the executive data governance council
Data governance office (DGO)
Led by an individual with the title of chief data officer (CDO) or data governance program director, among the responsibilities of the DGO are: providing centralized communication and archive for data governance (DG) initiatives; working with stakeholders, coordinating DG initiatives; facilitating and coordinating data steward committees, task forces, and meetings; supporting the data governance council; and collecting and analyzing DG metrics
Data life cycle
Made up of a 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, and data destruction
Data quality management
The business processes that ensure the integrity of an organization’s data during collection, application (including aggregation), warehousing, and analysis; a continuous process for defining the parameters for specifying acceptable levels of data quality to meet business needs, and for ensuring that data quality meets these levels
Data security
The process of keeping data, both in transit and at rest, safe from unauthorized access, alteration, or destruction
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