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DATA CONVERSATIONS: STORIES
FROM THE FIELD
Working with police recorded data
Jessica Phoenix
@_JessicaPhoenix
BACKGROUND
Undertaking PhD research in collaboration with the local
police force, measuring and investigating domestic violent
crime
Recently completed a project with the force on missing
person cases, which is the focus of this presentation
Data were extracted directly from police force information
systems and variables chosen alongside the police analyst
PROCESSING THE DATA:
ANONYMITY
First issue: thousands of cases all including names,
addresses, personal circumstances and information of the
person’s missing report
Raw data could not be used outside of police force devices
or seen by non-police personnel
To delete all personal information would prohibit the
tracking of repeat missing persons, and so a code needed
to be applied to anonymise persons without losing details of
repeats
PROCESSING THE DATA:
FORMATTING
Massively underestimated how long this would take!
Dataset contained all missing person reports made to the
police force in 2015, the starting number was 5952
All missing data were removed, with less time constraints
on the project a method of imputation would have been
preferred
Removing all duplicated entries, typos and errors left 4746
usable cases
BENEFITS OF
COLLABORATING
Access to the data!
Having both researcher
and practitioner
perspectives influence
and interpret the project
Results being fed
directly into the
organisation
CHALLENGES
Trying to combine police and university schedules to
organise meetings is difficult and can delay the research
progress
Underestimating how long it would take to clean and format
the data and having less time for analysis
Caution over drawing implications from police recorded
crime
QUESTIONS
J.PHOENIX@LANCASTER.AC.UK

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Working with police recorded data

  • 1. DATA CONVERSATIONS: STORIES FROM THE FIELD Working with police recorded data Jessica Phoenix @_JessicaPhoenix
  • 2. BACKGROUND Undertaking PhD research in collaboration with the local police force, measuring and investigating domestic violent crime Recently completed a project with the force on missing person cases, which is the focus of this presentation Data were extracted directly from police force information systems and variables chosen alongside the police analyst
  • 3. PROCESSING THE DATA: ANONYMITY First issue: thousands of cases all including names, addresses, personal circumstances and information of the person’s missing report Raw data could not be used outside of police force devices or seen by non-police personnel To delete all personal information would prohibit the tracking of repeat missing persons, and so a code needed to be applied to anonymise persons without losing details of repeats
  • 4.
  • 5. PROCESSING THE DATA: FORMATTING Massively underestimated how long this would take! Dataset contained all missing person reports made to the police force in 2015, the starting number was 5952 All missing data were removed, with less time constraints on the project a method of imputation would have been preferred Removing all duplicated entries, typos and errors left 4746 usable cases
  • 6. BENEFITS OF COLLABORATING Access to the data! Having both researcher and practitioner perspectives influence and interpret the project Results being fed directly into the organisation
  • 7. CHALLENGES Trying to combine police and university schedules to organise meetings is difficult and can delay the research progress Underestimating how long it would take to clean and format the data and having less time for analysis Caution over drawing implications from police recorded crime