Data storage, matching and mining

Objectives

To assess the use of data storage, matching and mining in the detection, prevention and/or prosecution of crimes across Europe and examine grounds for establishment, costs, density, on-going investment, amount of staff, crime solving rate using these techniques.

Partners

P1RuG, P2UCLAN, P3UL, P4LSC, P5BBU, P6UiO, P7ULE, P8LIF, P9UU, P10UGOE, P11USFD, P12LUH, P14FMUNIBA, P15UoM, P16UNIVIE, P17MU, P18ECU, P19INTERPOL

Description of work

Task 5.1         Identifying and classifying data storage, matching and mining techniques used in crime detection, prevention and/or prosecution of crimes in participating member states

There are different public and private databases used in the process of identifying persons responsible for crimes such as fingerprints databases, DNA databases, black lists etc.  This sub-task aims at

  • making an inventory of public and private data storage systems used in participating member states;
  • identify the different techniques used;
  • identify the technical setup of each of the systems, including potential of interoperability and location of data storage.

Task 5.2         Identifying grounds for establishment; set-up costs and on-going investment; and amount of staff

This sub-tasks reviews the legal and political grounds for establishment given at the time when the particular data storage, matching and mining system was set up and compares this to grounds given for the retention (and/or extension) of these systems over the years.

It also

  • Identifies the set-up and on-going costs of each system.
  • Identifies the amount of staff employed by the private or public sector to run the systems.

Task 5.3         Identify degree of automated decisions based on data matching and mining of data stored in these systems

  • Identifies different decisions based solely on automated processing of data
  • Identifies different decisions based partly on automated processing of data
  • Identifies extent of human effort necessary.

Task 5.4         Identify the degree of interoperability between public and private data storage, matching and mining systems

  • Identifies interoperability situations between different publicly held data storage system
  • Identifies interoperability situations between publicly and privately held data storage systems
  • Identifies the legal and policy protocols followed in the process of data sharing, matching and mining between systems.

Task 5.5         Impact Assessment following criteria established in WP3

  • Carry out an overview impact assessment of data storage, matching and mining techniques based on the criteria established in WP3