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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 • 724 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.
  • 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.
  • 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

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