|Previous Section||Index||Home Page|
Where fields are sub-divided, for example a post code may be entered in two parts, or where multiple entries can occur, for example up to 999 addresses may be entered on a persons record, this has been counted as one data field.
The INI is a system used by all police forces in the United Kingdom and other joint operating authorities such as the Serious Organised Crime Agency and Child Exploitation and Online Protection centre. It provides summary level information of people who have passed through one of six business areas of the police forces. These business areas are: crime, custody, child protection, domestic violence, firearms licensing (revoked and refused) and intelligence.
The system is part of the response to Sir Michael Bichard's inquiry into the Soham murders, seeking to provide a national information sharing capability to prevent criminals escaping detection simply by crossing force boundaries.
The National DNA Database (NDNAD) plays a key role in catching criminals, eliminating the innocent from investigations and focusing the direction of inquiries. It is also one of the few long-term investigation tools, sometimes identifying criminals many years after they believe they have escaped detection. The purpose of the NDNAD is to match DNA profiles left at crime scenes with DNA profiles from known subjects and thereby provide the police with a lead for further investigation.
As at 30 March 2009 there were 5,614,411 subject profile records retained on the National DNA Database (NDNAD) from all police forces, relating to approximately 4,856,466 individuals. Of these, 5,258,779 were from English and Welsh police forces, relating to approximately 4,548,844 individuals. In addition, as at 31 December 2008 there were 343,657 crime scene profiles retained on the NDNAD, of which 329,482 were from English and Welsh police forces.
The reason why the number of subject profile records is not the same as the number of individuals is that it is possible for a profile to be loaded onto the NDNAD on more than one occasion; that is, some profiles held on the NDNAD are replicates. This can occur, for example, if the person provided different names or different versions of their name on separate arrests, or because profiles are upgraded.
All NDNAD records have the same structure consisting of 36 data fields. However, some of these fields are only relevant to subject profiles, and some are only relevant to crime scene profiles. Therefore, no record will have all data fields completed.
IDENT1, the national fingerprint database, is central to police investigation, crime detection and public safety. It gives the ability to establish the identity of arrestees and link a presence at a crime scene with a verified identity quickly and, where necessary, to a forensic standard.
As at the end of February 2009, the IDENT1 (National Fingerprint Database) Unified Collection of Print Sets contained the verified identities of 7.8 million individuals, with which were associated 16.9 million sets of ten-prints and 6.7 million palm prints. The Unified Collection of Unresolved Crime Scene Marks contained 1.78 million finger marks and 115,000 palm marks. There were also 4,600 marks in the Serious Crime Collection.
In addition to the fields representing the biometric data above, there are five fields relating to the biographic data associated with each person: first name, surname, date of birth, gender and appearance.
The overview image, which shows a picture of those parts of vehicle captured by camera while photographing the number plate.
The plate patch, which extracts and isolates the picture of the number plate from the overview image.
The ANPR interpretation (Read) which shows how the ANPR programme has read the number plate.
Hotlists, which are lists of vehicles of interest to the police.
ANPR matches (hits) which show when an ANPR read has matched something on a hotlist.
Time, date and location stamp, which show when and where the data was obtained (the entire national system is time/date synchronised).
The NADC does not itself contain personal data. However, it does contain data which, when combined with other data sources (e.g. vehicle keeper records), could identify an individual. Access to the NADC is only permitted for major and serious investigations and requires authorisation in each case by a senior officer. The level of authority required to access ANPR data increases over time.
For each number plate read recorded, nine fields are populated. For each number plate read that matches a hotlist (for example a list of uninsured vehicles), 11 fields are populated, six fields are used to record details of cameras, four fields are used to record audit information.
The e-Borders system will capture data on passengers and crew arriving in and departing from the UK. This data is API (Advance Passenger Information) and OPI (Other Passenger Information). API will be captured on all those travelling to and from the UK and will comprise up to eight data fields. OPI will be provided by carriers on selected routes only. This will be a data record corresponding to their passenger reservation information. Carriers will only be required to provide this to the extent that it is known, the number of data fields in these records will therefore vary and none are mandatory.
Chris Grayling: To ask the Secretary of State for the Home Department when the expanded list of police community support officer powers outlined in the Policing Green Paper will be (a) finalised and (b) implemented nationally. 
Tom Brake: To ask the Secretary of State for the Home Department on how many occasions each police force has accessed social networking websites to carry out investigations in the last 10 years. 
Chris Grayling: To ask the Secretary of State for the Home Department what timetable has been set for the work on redefining the role and core competencies of police sergeants and the associated accreditation process. 
Jacqui Smith: The activities of the police sergeant role are being rationalised and updated as part of the first phase of the review of the Integrated Competency Framework and will be available for use within role profiles and sergeants Performance and Development Reviews from late June 2009.
Mr. Jim Cunningham: To ask the Secretary of State for the Home Department what steps her Department has taken to reduce the level of racially-aggravated crime in Coventry in the last 12 months. 
For instance, the Home Office is currently developing a Cross-Government Action Plan on Hate Crime in conjunction with other Departments and criminal justice agencies. This aims to support Crime and Disorder Reduction Partnerships (CDRPs), such as Coventrys Community Safety Partnership, to tackle racially-aggravated crime and learn from good practice in other localities. Local areas need to be able to tailor their response to their particular situation.
Coventrys Community Safety Partnership continues to prioritise the importance of anti-racist training which has been delivered not only to staff working in the community but also to police officers, neighbourhood wardens, social landlords and community activists. Hate crime in Coventry has been reduced by 9.1 per cent. in the 12 months of 2008-09 against the previous 12 months of 2007-08.
Miss McIntosh: To ask the Secretary of State for the Home Department how many (a) cautions and (b) penalty notices for disorder were issued for (i) burglary, (ii) theft and (iii) other offences in each of the last three years; and if she will make a statement. 
Data on the number of penalty notices for disorder issued for the offence of retail theft and other offences
included in the PND scheme for England and Wales in each year from 2005 to 2007 are shown in table 2. The disposal is not available for issue for burglary or for any other category of theft offence.
|Table 1: N umber of offenders issued with a caution by offence type, and the offence stealing from shops and stalls (shoplifting), in England and Wales, 2005 to 2007( 1)|
|(1) Every effort is made to ensure that the figures presented are accurate and complete. However, it is important to note that these data have been extracted from large administrative data systems generated by police forces. As a consequence, care should be taken to ensure data collection processes and their inevitable limitations are taken into account when those data are used. (2) The data for this offence are also included in the offence type of theft and handling stolen goods. Source: Evidence and Analysis UnitOffice for Criminal Justice Reform, Ministry of Justice.|
|Next Section||Index||Home Page|