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Croatia Statistical Training

Croatia Statistical Training. Courts Session 8, January 18 th , 13.00 – 14.30 An Electronic Case Management System – Advanced use. DEVELOPMENT OF MONITORING INSTRUMENTS FOR JUDICIAL AND LAW ENFORCEMENT INSTITUTIONS IN THE WESTERN BALKANS 2009-2011 Phase three – Training.

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Croatia Statistical Training

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  1. CroatiaStatistical Training Courts Session 8, January 18th, 13.00 – 14.30 An Electronic Case Management System – Advanced use DEVELOPMENT OF MONITORING INSTRUMENTS FOR JUDICIAL AND LAW ENFORCEMENT INSTITUTIONS IN THE WESTERN BALKANS 2009-2011 Phase three – Training With funding from the European Union

  2. Extracting information from CMS The question is how, for the LMI, CMI and NAT areas, the data are extracted from the CMS. Six design decisions are important here: Direct access to the CMS or through an interface? Extracting of detailed data or aggregate data? Continuous or periodic extraction? Different extractions for each area? What data are exactly needed in every area? How to deal with privacy issues?

  3. Extracting information from CMS The design decisions: 5) What data are exactly needed in every area? As an example, some of the data used in the Netherlands (for the CMI and NAT areas) are presented, followed by a discussion on what more could be needed or useful.

  4. Extracting information from CMS The design decisions: What data are exactly needed in every area? Data is structured in three ‘classes’: Cases Offences Court hearings

  5. Extracting information from CMS The design decisions: What data are exactly needed in every area? Cases: 169 (!) variables, such as: Data to identify the case About 50 date variables (for all kinds of decisions) Prosecution request and penalty imposed Offender data (address, country of birth, age, …) Several identifiers to link with other systems

  6. Extracting information from CMS The design decisions: What data are exactly needed in every area? Offences: 53 variables, such as: Identification variables Offence data (date, location, type of offence, non-juridical qualification, ..) Decision (Prosecution decision, court decision: guilty or not)

  7. Extracting information from CMS The design decisions: What data are exactly needed in every area? Court hearings: 47 variables, such as: Identification variables Date variables (date of court hearing, …) Decisions of the court

  8. Extracting information from CMS The design decisions: 5) What data are exactly needed in every area? More data needed: Data on personnel (but only for LMI) Non – juridical data / qualifications Victim data! … ?

  9. Extracting information from CMS The design decisions: How to deal with privacy issues? Is probably only relevant for CMI and NAT, and only with data extraction on record (case) level.

  10. Extracting information from CMS The design decisions: How to deal with privacy issues? Possible measures to be taken: Encryption of identifying variables.Problem: linking with other datasets not possible, at least not with 100% accuracy. Special statistics law

  11. Some examples of use of Crime Statistics based on a CMS Reconviction studies Budgetting Multivariate analysis on offenders Organized crime?

  12. Some examples of use of Crime Statistics based on a CMS Reconviction studies From our CMS we collect data relevant for reconviction into a Re-offender Monitor Actually all persons having been in contact with the Prosecution. From the Criminal Record database we can also collect the criminal history

  13. Some examples of use of Crime Statistics based on a CMS Reconviction studies This is used for general reconviction rates But also for specific research on specific offenders In some studies linked to other social data collected by the central statistical office Example: study www.wodc.nl

  14. Some examples of use of Crime Statistics based on a CMS Budgetting Using data from police and CMS (Prosecution and Courts) an econometric model gives forecasts on the expected workload. Such as expected input of cases. But also prison capacity needed. This is used in the budget negotiations with Ministry of Finance

  15. Some examples of use of Crime Statistics based on a CMS Budgetting

  16. Some examples of use of Crime Statistics based on a CMS Multivariate analysis on offenders A study of non-native (alien) offenders Data could be extracted from CMS since nationality and country of birth is known This was linked to other datasets to obtain information on education, marital status, income etc.

  17. Some examples of use of Crime Statistics based on a CMS Organized crime? Actually, our studies on organized crime are not (primarily) based on information from a CMS Two reasons: An offender related to organized crime can be charged with all kinds of crime. We need a lot information that is only present in the written case file.

  18. Some examples of use of Crime Statistics based on a CMS Organized crime? This illustrates two important issues when implementing a CMS: Detailed (record, case) level information is essential for research (NAT area) There is a clear need of extra ‘non-judicial’ data that has to be entered in the CMS (and increasing the workload …)

  19. CroatiaStatistical Training Courts Session 8, January 18th, 13.00 – 14.30 An Electronic Case Management System – Advanced use DEVELOPMENT OF MONITORING INSTRUMENTS FOR JUDICIAL AND LAW ENFORCEMENT INSTITUTIONS IN THE WESTERN BALKANS 2009-2011 Phase three – Training With funding from the European Union

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