Data Management: Consistency (Definitions)

"The degree of uniformity, standardization, and freedom from contradiction among the documents or parts of a system or component."  (IEEE," IEEE Standard Glossary of Software Engineering Terminology", 1990)

"Describes whether or not master data is defined and used across all IT systems in a consistent manner." (Allen Dreibelbis et al, "Enterprise Master Data Management", 2008)

"The requirement that a transaction should leave the database in a consistent state. If a transaction would put the database in an inconsistent state, the transaction is canceled." (Rod Stephens, "Beginning Database Design Solutions", 2008)

"The degree to which one set of attribute values match another attribute set within the same row or record (record-level consistency), within another attribute set in a different record (cross-record consistency), or within the same record at different points in time (temporal consistency)." (DAMA International, "The DAMA Dictionary of Data Management" 1st Ed., 2010)

"Consistency is a dimension of data quality. As used in the DQAF, consistency can be thought of as the absence of variety or change. Consistency is the degree to which data conform to an equivalent set of data, usually a set produced under similar conditions or a set produced by the same process over time." (Laura Sebastian-Coleman, "Measuring Data Quality for Ongoing Improvement ", 2012)

"The degree to which data values are equivalent across redundant databases. With regard to transactions, consistency refers to the state of the data both before and after the transaction is executed. A transaction maintains the consistency of the state of the data. In other words, after a transaction is run, all data in the database is 'correct' (the C in ACID)." (Craig S Mullins, "Database Administration", 2012)

"Agreement of several versions of the data related to the same real objects, which are stored in various information systems." (Boris Otto & Hubert Österle, "Corporate Data Quality", 2015)

"Consistency: agreement of several versions of the data related to the same real objects, which are stored in various information systems." (Boris Otto & Hubert Österle, "Corporate Data Quality", 2015)

"The degree to which the data reflects the definition of the data. An example is the person name field, which represents either a first name, last name, or a combination of first name and last name." (Piethein Strengholt, "Data Management at Scale", 2020)

"The degree to which the model is free of logical or semantic contradictions." (Panos Alexopoulos, "Semantic Modeling for Data", 2020)

"The degree of data being free of contradictions." (Zhamak Dehghani, "Data Mesh: Delivering Data-Driven Value at Scale", 2021)

"The degree of uniformity, standardization, and freedom from contradiction among the documents or parts of a component or system." [IEEE 610]