Data Management Basics
What is data management?
The processes, policies, and practices that ensure data is accurate, available, secure, and usable.
Name one key aspect of data management.
Data Governance.
What is meta data?
Data that describes other data.
What is the goal of data quality management?
To ensure data is accurate, valid, timely, complete, unique, and consistent.
What does the accuracy dimension ensure?
That data accurately represents real-world values.
Define a Data Element.
A unit of data for which the definition, identification, representation, and permissible values are specified by means of a set of attributes.
What does Data Quality encompass?
The accuracy, validity, timeliness, completeness, uniqueness, and consistency of data.
List one purpose of meta data.
Provides context of raw data.
Give an example of data quality dimension.
Accuracy.
What does completeness in data quality mean?
Ensuring that all required data is present.
What is a Critical Data Element?
A data element that is critical to success in a specific project area or research process.
What is Meta Data Management?
Management of data that describes other data, including its source, date of creation, format, and meaning.
Give an example of meta data.
The title, description, source, date of creation, and format of a dataset.
What is the significance of data quality in an organization?
It ensures reliability, accuracy, and credibility of data.
How is validity in data quality defined?
Data conforms to the syntax of its definition.
List one principle of data management.
Systematic organization, storage, retrieval, and protection of information throughout its lifecycle.
Define Data Architecture.
The design and structure of data systems to ensure data flows and is stored properly.
What is Data Cataloging?
Organizing and managing a collection of meta data to make it easy to find and use.
Name one step in the data quality process.
Performing data profiling.
Give an example of timeliness in data quality.
Data represents reality from the required point of time.
What are the primary objectives of data management?
Ensuring data is accurate, available, secure, and usable.
What is Data Privacy?
Measures taken to protect personal data from unauthorized access and breaches.
Explain Data Lineage.
Tracking the origin and movement of data through its lifecycle.
Why is data quality assessment important?
To enforce data quality rules and identify issues in the dataset.
Explain the uniqueness dimension.
Ensuring data is recorded only once and is properly identified.