1. FIP Implementation: Illinois CHRI Repository

2. Fair Information Practices 1)Purpose Specification 2)Collection Limitation 3)Use Limitation 4)Data Quality 5)Individual Participation (Access & Review) 6)Openness of Data Management Practices 7)Accountability

3. Purpose Specification Illinois State Police = States CHRI Repository Repositorys function is to collect, maintain, and disseminate CHRI data.

4. Collection Limitation Illinois State Police collect the data they require to efficiently administer the repository. Identifying information, notations of arrests, charges, dispositions, & death notices. ISP is required to collect access & review notations. ISP collects some additional information that may not be addressed in its purpose: caution notices, stop orders, ordinance violations.

5. Use Limitation Uniform Conviction Information Act = Conviction-Only CHRI is public record. Several agencies have access to non- conviction CHRI pursuant to state statute. Illinois Law also provides for the sealing of convictions; sealing limits the use of records to justice practitioners.

6. Data Quality Users of UCIA CHRI must update their information every 30 days. Update notification Audits Disposition Acquisition Unit Access & Review

7. Individuals have a right to access and review their criminal history transcripts. Individuals may challenge the accuracy of their transcripts with the Illinois State Police and, if unsuccessful, may appeal to the Illinois Criminal Justice Information Authority.

8. Openness of Data Mgt. Illinois State Police have promulgated rules in the Illinois Administrative Code. Guide to Understanding Criminal Background Check Information is available on the Illinois State Police website. The collection of stop orders and ordinance violations isnt mentioned.

9. Accountability Illinois State Police are subject to Audit. The granting of federal funds are conditional upon compliance with the Dept of Justice regulations as published in the C.F.R.

10. Summary Purpose Specification Collection Limitation Use Limitation Data Quality Individual Participation (Access & Review) Openness of Data Management Practices Accountability