Data Quality Standards


Individualised Learner Record


Data quality standards for Individualised Learner Record (ILR) data are set by the information authority. Sector progress against standards is monitored by the Data Quality Board.

Provider achievement and progress against standards is monitored by the Data Service, and shared with the information authority and the Skills Funding Agency.


Completeness, Accuracy and Credibility

Completeness standards for ILR returns set out thresholds for the completeness of information for a specified set of ILR fields, such as Ethnicity and Prior Attainment. 

Thresholds for completeness vary according to return type and collection. The standards are set out in Appendix P of the ILR: Data Quality Standards and Field Ownership.

Providers can use Data Quality Dashboards to assess their achievement and progress against completeness standards.

Credibility Reports for ILR returns can be used to check whether the Provider's return is true and credible. The reports also provide checks on the data return against completeness standards.


Integrity

The information authority has provided clarification and codification over key areas of data management that concern the integrity of ILR data returns.

Providers can use the Data Self Assessment Toolkit (DSAT) provided by the Skills Funding Agency to help test the integrity of ILR data, and for the preparation of data prior to funding audit.

ULN (Unique Learner Number) Verification Reports can be used to assess the consistency of the learner's ULN in the Provider's ILR submission. These reports are available via the LIS application.





Data Quality Assessments

Known Issues

Reports and tools

Web Alerts: 

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Useful Links:

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