B.6 Data governance principles Flashcards
Apply the principles of data governance to achieve quality data and information.
What is data governance according to the Data Governance Institute (DGI)?
The exercise of decision-making and authority for data-related matters
DGI, n.d.
List the six common focus areas of data governance highlighted by DGI.
- Policy, standards, and strategy
- Management alignment
- Architecture and integration
- Privacy, compliance, and security
- Data warehousing and business intelligence
- Data quality
Define data quality management as per DAMA International.
The planning, implementation, and control of activities that apply quality management techniques to data, in order to assure it is fit for consumption and meets the needs of data users
DAMA International, 2017, p. 454.
What are the dimensions of data quality identified by DAMA?
- Accuracy
- Completeness
- Consistency
- Reasonability
- Timeliness
- Uniqueness
- Validity
What does accuracy in data quality refer to?
The degree to which the data correctly represents the facts.
What does completeness in data quality mean?
The extent to which all required data is present.
Define consistency in the context of data quality.
The extent to which data values are represented the same way within and between datasets.
What is reasonability in data quality?
The extent to which a data pattern conforms to expectations based on understanding the facts.
What does timeliness refer to in data quality?
The duration between the occurrence of a fact and the availability of data about it.
What is the definition of uniqueness in data quality?
The property that exists more than once within a dataset.
What does validity mean in the context of data quality?
The extent to which data values are consistent with a defined domain of acceptable values.
What is the ABS Data Quality Framework (ABS-DQF) known for?
It is widely used in Australia and defines quality as fitness for purpose, based on best international practices.
List the seven dimensions of the ABS Data Quality Framework.
- Institutional environment
- Relevance
- Timeliness
- Accuracy
- Coherence
- Interpretability
- Accessibility
What does the institutional environment dimension of ABS-DQF include?
- Impartiality and objectivity
- Professional independence
- A mandate for data collection
- Adequacy of resources
- Commitment to quality
- Confidentiality
What does relevance refer to in the ABS Data Quality Framework?
The extent to which the data meets users’ needs in terms of the concept(s) measured and the population(s) represented.
What is timeliness in the context of ABS Data Quality Framework?
The interval between the reference period and the date the data becomes available.
Define accuracy as per the ABS Data Quality Framework.
The extent to which the data correctly describe the phenomenon they were designed to measure.
What does coherence refer to in ABS Data Quality Framework?
The internal consistency of data as well as its comparability with other sources and over time.
What is interpretability in the ABS Data Quality Framework?
The availability of information to help provide insight into the data, including the availability of metadata.
What does accessibility refer to in the ABS Data Quality Framework?
Users’ ease of access to data, including ease of discovery.
What are the seven data quality dimensions highlighted in the Victorian Government’s Data Quality Guideline?
- Representativeness
- Timeliness/currency
- Fitness for purpose
- Consistency
- Collection
- Accuracy
- Completeness
What does representativeness mean in the context of data quality?
The extent to which the data is representative of the conditions or scenario to which it refers.
What is fitness for purpose according to the Victorian Government’s Data Quality Guideline?
The extent to which data is appropriate for its intended use.
Define accuracy as per the Victorian Government’s Data Quality Guideline.
The degree to which the data correctly portrays the real-world situation it was designed to measure.
What is the ISO 8000 series on Data Quality?
Global standards for data quality and enterprise master data.
What is master data?
Data held by an organisation that describes the entities that are independent and fundamental for an enterprise.
