data validation vs data verification

Both 'data validation' and 'data verification' are correct phrases, but they are used in slightly different contexts. 'Data validation' refers to the process of ensuring that data is accurate, complete, and consistent, while 'data verification' is the process of checking whether the data matches a specific requirement or standard.

Last updated: March 24, 2024 • 750 views

data validation

This phrase is correct and commonly used in the context of ensuring data accuracy, completeness, and consistency.

Use 'data validation' when referring to the process of checking data to ensure it is accurate, complete, and consistent.

Show examples from the web [+]

An option to facilitate data validation is to be built in to the templates.
Member States shall ensure that the database clearly displays any data inconsistencies detected by the data validation system.
Quality assurance for ambient air quality assessment: data validation
Member States shall provide written approval of the survey results for which they are responsible, once the process of data validation has been completed, as specified in Annex I, point 5.2.
a description of the data validation process in use for the measured parameters;
Member States shall ensure that the dates for data receipt, data entry, data validation and the dates for the follow-up of detected inconsistencies are clearly visible in the database.
Member States shall provide written approval of the survey results for which they are responsible, once the process of data validation has been completed, as specified in Annex I, point 5.2, within a period of no longer than one month.
Member States shall provide written approval of the survey results for which they are responsible, once the process of data validation has been completed, as specified in point 5.2 of Annex I, within a period of no longer than one month.
Description of the key data processing steps (e.g. starting and finishing dates for completeness, coding and plausibility checks, data validation and non-disclosure measures) in a timetable;
amending several annexes to Directives 2004/107/EC and 2008/50/EC of the European Parliament and of the Council laying down the rules concerning reference methods, data validation and location of sampling points for the assessment of ambient air quality
Data validation is also performed in the template, by verifying the consistency between outstanding amounts and transactions.
Quality assurance for ambient air quality assessment: data validation
The following data validation checks should be carried out before transmitting MFI updates to the ECB.
Validation checks The following data validation checks should be carried out before transmitting MFI updates to the ECB.
Quality and coverage assessment, post-enumeration survey(s) (where applicable), final data validation
Data validation, data management and data quality
Discrepant Data: This is data that has been flagged by an AAVSO staff member as being discrepant following HQ rules for data validation. Contact aavso@aavso. org for more information.
Member States shall provide written approval of the survey results for which they are responsible, once the process of data validation has been completed, as specified in Annex I, point 5.2.

Alternatives:

data integrity checking
data quality assurance
data cleansing

data verification

This phrase is correct and commonly used when checking whether data meets specific requirements or standards.

Use 'data verification' when referring to the process of checking data against specific requirements or standards.

Show examples from the web [+]

Which organisations are responsible for data verification?
The Commission took this recommendation on board and has included a number of measures that would provide Member States with the necessary structures, including databases on catches, inspections and other information, procedures for data verification, etc.
To that end, the verifier shall at least carry out substantive testing consisting of analytical procedures, data verification and checking the monitoring methodology and check the following:
As part of the data verification referred to in paragraph 1 and taking into account the approved monitoring plan, including the procedures described in that plan, the verifier shall check:
Data verification obligations should remain with the entities that have first-hand knowledge of the information and the expertise to verify it, including through the use of third party auditors.
Data verification and trading experience continues to accumulate, which, for the most part, confirms the schemes underlying concept.

Alternatives:

data validation against standards
data compliance checking
data accuracy verification

What Our Customers Are Saying

Our customers love us! We have an average rating of 4.79 stars based on 283,125 votes.
Also check out our 2,100+ reviews on TrustPilot (4.9).

"Thank you!"
Sachi Nakama July 2024
"I have literally been through chat, PI, claude, bard and bing and I got conflicting answers! Thank you! Human intelligence reigns!"
Retha July 2024
"Faster than AI"
CYNTHIA December 2023
"This was very helpful and I personally think this site is the best."
Kaden October 2023
"It was extremely thorough and very helpful!"
imperialelisa October 2023
"7 years without any disappointment. Always 100% satisfied. You guys are the best in the world at what you do. Thank you so much :)"
Zubair Alam October 2023
"In a world of text messages and online communication, this is great to have as a live tool. Thank you."
Selena October 2023
"Without textranch I would be stuck!"
宏祐 October 2023
"Accuracy and fast response. Personal comments from editor. Thank you."
Clh September 2023
"I wasn't aware of this service, it's fascinating and more reliable than standard IA tools available on the internet"
Arturo September 2023
"The fact that you can get reliable fast feedback on your texts."
Vinicius Antonio August 2023
"you guys are better than grammarly i'm being honest here"
ordinary July 2023
"OMG! This is really good than any other text correction tools I've used so far. Highly recommend this."
Vehan July 2023
"Very fast and accurate. thank you."
mojtaba July 2023
"I love this app because it's help to writing skills all of students ♥️"
Tarisini July 2023
"This was exactly the mistake I was looking for, the wording dind´t sound right at first. Better than grammarly!"
Ente July 2023
"The immediate help that I received was reassuring and very satisfactory. Thanks."
priiiyanshuu July 2023
"this helps A LOT for my studies."
kathnunez02 June 2023
"Woow!! I would never have expected such precision! Thank you soooo much!!"
Berta June 2023
"Real Time Editor and not AI. Many Thanks."
Priya June 2023
"The very first thing excites me about Textranch is how much your editors care."
sepideh June 2023
"The fact that texts are checked by human editors rather than by AI, etc. I appreciate this!"
Анна June 2023
"Feel welcome, immediate response, high quality feedback"
martin.roy June 2023
"This is the best app that I have ever seen"
Burulai May 2023

data validation vs data verification

data validation

data verification

Related Comparisons

What Our Customers Are Saying