Data quality reports

Importance of good data quality

It is vital to maintain accurate staff data in PeopleXD, as it is used for various purposes, including external returns like HESA, which affect University funding and initiatives such as Athena SWAN. Good data ensures GDPR compliance, supports strategic planning, and shapes how the University is represented to the government and public. Inaccurate data can pose legal and reputational risks, especially regarding Freedom of Information requests. Responsibility for data input, accuracy, and context lies with the administering Division or Department.

The reports below are designed to support you in this.

 

Report When to run Purpose Guidance/Further information
Onboarding: 'Completed checklist items' Prior to supplementary payroll deadline - for NI number only

Aside from the NI number, all other data in this report can be entered into PeopleXD outside of the Payroll deadlines. 

NB Bank details entered through Onboarding are automatically synched to the personnel record and will not appear in this report.

 
PERDEP41 Immigration and right to work At any point in the month  To manage visa/RtW processes, to comply with Home Office rules/immigration law. Please remember to also run this for casual workers.  
PERDEP10 Cost allocation (funding) end dates At any point in the month  To identify funding end dates/records with missing cost allocations.  
HRINFO01 Data quality validation At any point in the month  To maintain data quality and assist with HESA data submissions and other statutory reporting.

Clearing data quality errors

Staff classifications

HRINFO20 Casual worker data quality validation At any point in the month  To assist with HESA data submissions and other statutory reporting. Clearing data quality errors 
Staff classifications
PERDEP06 Agency workers At any point in the month  To comply with 12-week service rules   
HRINFO21 Vacancy and applicant data quality report At any point in the month  To maintain applicant status and vacancy management (useful for Athena Swan data)  Making changes to recruitment data