Is IVIM Independently "Verified" or Independently "Validated" Machine? On my vision for what I do here (TBC)
DG: What is the subtle difference between: Independently Verified Information Independently Validated Information?
The subtle difference between "Independently Verified Information" and "Independently Validated Information" lies in the nuances of verification and validation processes:
Independently Verified Information
Verification: This process involves checking, inspecting, and confirming that information or data is accurate, truthful, and reliable.
Focus: Verification emphasizes ensuring that the information is correct and free of errors.
Example: A fact-checker confirming that a statement in a news article is accurate by consulting multiple sources.
Independently Validated Information
Validation: This process involves ensuring that the information meets certain criteria, standards, or requirements and is fit for its intended purpose.
Focus: Validation emphasizes the appropriateness and suitability of the information for a specific use or context.
Example: An independent auditor validating that a new software system meets all regulatory compliance standards and functions as intended in real-world scenarios.
Key Differences:
Objective:
Verification is primarily concerned with the correctness and accuracy of the information.
Validation is concerned with the appropriateness and effectiveness of the information for its intended use.
Process:
Verification often involves cross-referencing and checking against established facts or data.
Validation involves assessing whether the information or system performs as expected under specific conditions or requirements.
Outcome:
Verified information is confirmed to be true and accurate.
Validated information is confirmed to be suitable and effective for its intended purpose.
In summary, while both involve an independent check, verification focuses on accuracy, and validation focuses on suitability and functionality.
DG: A few examples on the use of both both to better understand the difference please
Sure, here are a few examples illustrating the difference between independently verified and independently validated information:
Independently Verified Information
Journalism:
A journalist writes an article claiming a political figure received donations from a specific company. An independent fact-checking organization verifies this information by cross-referencing public records, confirming the accuracy of the claim.
Academic Research:
A researcher publishes a paper with specific statistical data. Another independent researcher verifies the data by re-running the same experiments or calculations to ensure the results are accurate.
Product Labels:
A food product label claims it contains 10 grams of protein per serving. An independent laboratory tests the product and verifies that the protein content is indeed 10 grams per serving.
Independently Validated Information
Software Development:
A new accounting software claims to comply with all relevant financial regulations. An independent auditor validates the software by running it through a series of compliance tests to ensure it meets regulatory standards and functions correctly in real-world scenarios.
Medical Devices:
A company develops a new medical device intended to monitor heart rates. An independent medical board validates the device by conducting clinical trials to confirm that it accurately and consistently monitors heart rates in a variety of conditions and is safe for patient use.
Training Programs:
A new employee training program claims to improve productivity by 20%. An independent consulting firm validates this claim by assessing the training program's content and methodology, then measuring actual productivity improvements in a controlled environment to ensure the program achieves its intended results.
Summary of the Examples
Verification Examples: These involve checking the accuracy and correctness of the information (e.g., verifying donations, statistical data, or protein content).
Validation Examples: These involve assessing the effectiveness and suitability of the information or system for its intended purpose (e.g., validating software compliance, medical device performance, or training program effectiveness).
In these examples, verification ensures that the information is correct, while validation ensures that the information or system works as intended and meets specific criteria or requirements.