"Evaluating and checking the accuracy, consistency, timeliness, and security of information, for example by evaluating the believability or reputation of its source." (Martin J Eppler, "Managing Information Quality" 2nd Ed., 2006)
"The process of ensuring accurate data based on data acceptance and exception handling rules." (Evan Levy & Jill Dyché, "Customer Data Integration", 2006)
"The process of ensuring that the values of data conform to specified formats and/or values." (Allen Dreibelbis et al, "Enterprise Master Data Management", 2008)
"(1) To confirm the validity of data. (2) A feature of data cleansing tools." (Danette McGilvray, "Executing Data Quality Projects", 2008)
"The act of determining that data is sound. In security, generally used in the context of validating input." (Mark S Merkow & Lakshmikanth Raghavan, "Secure and Resilient Software Development", 2010)
"Determining and confirming that something satisfies or conforms to defined rules, business rules, integrity constraints, defined standards, etc. The system cannot perform any validating unless it first has a definition of the way things should be validity The degree to which data conforms to domain values and defined business rules." (DAMA International, "The DAMA Dictionary of Data Management", 2011)
"This involves demonstrating that the conclusions that come from data analyses fulfill their intended purpose and are consistent." (Jules H Berman, "Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information", 2013)
"The act of testing a model with data that was not used in the model-fitting process." (Meta S Brown, "Data Mining For Dummies", 2014)
[data integrity validation:] "Data integrity validation allows you to verify the integrity of the data that was secured by data protection operations." (CommVault, "Documentation 11.20", 2018)
No comments:
Post a Comment