Data Management: Timeliness (Definitions)

"Coming early or at the right, appropriate or adapted to the times or the occasion." (Martin J Eppler, "Managing Information Quality" 2nd Ed., 2006)

[timeliness & availability] "A data quality dimension that measures the degree to which data are current and available for use as specified, and in the time frame in which they are expected." (Danette McGilvray, "Executing Data Quality Projects", 2008)

"the ability of a task to repeatedly meet its timeliness requirements." (Bruce P Douglass, "Real-Time Agility: The Harmony/ESW Method for Real-Time and Embedded Systems Development", 2009)

"A pragmatic quality characteristic that is a measure of the relative availability of data to support a given process within the timetable required to perform the process." (David C Hay, "Data Model Patterns: A Metadata Map", 2010)

"1.The degree to which available data meets the currency requirements of information consumers. 2.The length of time between data availability and the event or phenomenon they describe." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"Timeliness is a dimension of data quality related to the availability and currency of data. As used in the DQAF, timeliness is associated with data delivery, availability, and processing. Timeliness is the degree to which data conforms to a schedule for being updated and made available. For data to be timely, it must be delivered according to schedule." (Laura Sebastian-Coleman, "Measuring Data Quality for Ongoing Improvement ", 2012)

"The degree to which the model contains elements that reflect the current version of the world Transitive Relation When a relation R is transitive then if R links entity A to entity B, and entity B to entity C, then it also links A to C." (Panos Alexopoulos, "Semantic Modeling for Data", 2020)

"The degree to which the actual time and processing time are separated. The timelier the data is, the smaller the gap is between actual time and record time."  (Zhamak Dehghani, "Data Mesh: Delivering Data-Driven Value at Scale", 2021)

"Length of time between data availability and the event or phenomenon they describe." (SDMX)