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The intended purpose of this standard is to promote interoperability and improve the data quality of systems by converging on a common set of POLE data definitions used within Policing. POLE data definitions describe how People, Objects, Locations and Events (POLE) should be formatted. 

There are 44 POLE entities described in this standard including:

• 20 person entities
• 13 object entities
• 5 location entities
• 6 event entities

The standard defines the attributes (field size, format, type) used to create the entities and contains and “entity x attribute map”. It also contains validation rules for these attributes.

This standard is owned by the National Police Chiefs Council (NPCC) and should be regarded as the default data standard for all POLE entities.

Along with the standard, the POLE data model (POLE v1.1.accdb) and data dictionary (POLE data standards - Data dictionary v1.1.xlsx) are also attached below. 

This is intended as a high-level overview of the requirements for digital evidence storage in a multimedia context. Ratings follow the MoSCoW system of Must, Should, Could and Won’t. The requirements are split into two sections, File Handling and Functionality. Systems must be compliant with the principles in the DSTL NPCC Digital Imaging and Multimedia Procedure v3.0 and Recovery and Acquisition of Video Evidence v3.0 and adhere to the Forensic Science Regulator Act 2021 and Statutory Code.

This document is relevant to all police non-specialist front-line staff and forensic unitsi who utilise video evidence and to bring clarity around activities relating to recovery, acquisition, viewing and processing of CCTV. It outlines those activities that must be undertaken by Police Forces and accredited laboratories in line with the Forensic Science Regulator Act 2021 and Statutory Code. The following charts stipulate what level of training is required and whether force procedures must be in place to carry out Forensic Science Activities (FSAs) and mitigate the risks highlighted by the risk matrix where activities may be excluded from accreditation. This document has been created to support the recommendations of the NPCC CCTV Working Group and Specialist Capability Network and supersedes the now defunct Annex A and B CCTV Scope for Accreditation document, which was previously circulated by the NPCC as a supplement to the first Forensic Regulators FSR-C-119 Code of Practice and Conduct, now replaced by the Statutory Code and FSA Digital Forensics - Video Analysis, and FSA Basic Recovery and Acquisition of Images.

This document provides:
• High level PND requirements
• Overview of Data requirements
• PND Message Schema design
• Data transmission mechanisms
• Data Scope
• Overview of software resources available including Data Test Suite.

Note this document is graded OFFICIAL-SENSITIVE, access can be requested by the 'Contact Us' tab at the top of the page.

This is a data science cookiecutter template for analytical, Python-, or Python and R-based projects within Her Majesty's Government, and wider public sector including policing, where it has been trialled and used as a standardised template for effectively sharing data science work and includes security features using pre-commit hooks to preserve sensitive information.

It also provides an Agile, centralised, and lightweight analytical quality assurance (AQA) process. Pull or merge request templates are used to nudge users to complete this process. This helps meet HM Government best practice on producing quality analysis, as defined in the Aqua Book.

The original developer in GDS has provided a blog post explaining the reasons for creation and provided a live demonstration from March 2021 on version 0.5.3. 

The National Standards Assurance Board reviewed this in January 2022 and found it being owned and actively developed by the Office for National Statistics, Best Practice and Impact team.

This guidance seeks to assist a range of IA professionals in exploring the risks associated with the use of Open Source Software (OSS) products. It does so by prompting a number of ‘whole lifecycle’ issues and questions which potential users should ask themselves when making software choices, not just of OSS, but also of proprietary products. This is because there are no ‘right’ or ‘wrong’ answers when it comes to the security of OSS versus that of proprietary (typically closed source code) products. There are good and bad examples of each in this respect and no one type is inherently more, or less, secure than the other.

This guidance supports the Government ICT StrategyI objective of creating a level playing field for open source software solutions. It does not evaluate, recommend or otherwise offer judgement on the following:

Specific OSS products;
Savings in running costs that an organisation may realise by the adoption of OSS over proprietary products;
The legal risks that may arise, for example from issues concerning copyright, intellectual property, or infringement of licences

This guidance was reviewed by the National Standards Assurance Board in January 2021 and was deemed to still provide relevant information

The purpose of this document is to provide guidance on the retention, storage and destruction of forensic materials and their associated records retained by physical and digital Forensic Units.

The purpose of this document is to provide details of the biometric interchange and image standards that must be adhered to by Partner1 organisations and their Suppliers that need to communicate with the back end biometric matching systems governed by the Home Office Biometrics (HOB) programme. (Note that the current HOB systems covered in this document are the HOB Biometric Services Gateway (BSG), Home Office “Immigration and Asylum Biometric System” (IABS) and national police fingerprint system, “IDENT1”.)
The document is divided into five parts as follows:
1) The Home Office biometric exchange format – “HONE-1”
2) Biometric recording and image standards, mandatory
3) Biometric recording and image standards, conditional
4) Biographic data, general
5) Appendices

Open Referral UK is an open data standard in use by Local Government. This standard establishes a consistent way of publishing and describing information for councils, to ensure the data is effectively used and shared for the benefit of local communities and services (https://www.localdigital.gov.uk/)