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Free sign upThe phrase "auditable data" is correct and usable in written English.
It can be used in contexts where data needs to be verified or examined for accuracy and compliance, often in financial or regulatory settings.
Example: "The company maintains auditable data to ensure transparency during financial audits."
Alternatives: "verifiable data" or "accountable data".
Exact(4)
We also need to collect auditable data that evidence improvements and impact.
The authors highlight the criticality and need for "trustworthy, auditable data provenance" where "systems must automatically track every change that is made to data, so it is auditable and completely trustworthy".
Using granular, auditable data to track products through the supply chain will disrupt attempts to introduce counterfeit goods and make it easier to identify the source.
The design quality was addressed through the use of multiple sources of evidence and the development of an auditable data trail.
Similar(56)
Aerospace legislation requires that any decisions on maintenance, safety and flightworthiness to be auditable and data patterns to relate to known information.
My basic recommendation – that we should have a clear, auditable national data strategy – may not sound very radical, but we currently don't have such a strategy, and I believe it's the essential next step.
The interviews lasted 45 minutes on average and were digitally recorded, transcribed and later analysed by IC and VS using Framework, thus providing auditable, organised data management and transparency of findings.
Because of auditable logging, the data can never go out of that environment.
An example of this is the implementation of electronic notebook systems (a 21 CFR Part 11 compliant, fully auditable electronic notebook system that maintains raw data integrity and secure data sharing) coupled with a secure data management system (secure repository).
The main goal of GLP is to assure that studies produce data that are reliable, repeatable, auditable, and globally accepted.
Our challenge is to create an auditable trail of dealer [transaction price] data, which for statistical and sampling purposes is valid, to go into our Black Box along with auction house data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com