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National Standards can be classified based on whether they are conceptual, rule based or value based:
- Principles - The defining characteristic of a principle document is that it is conceptual. It describes a target state or end goal without specifying how it will be achieved.
- Guidance/Policies/Standards - The defining characteristic of guidance, policies and standards are that they are rule based. The document specifies the rules to be applied to achieve a particular state.
- Technical Reference Templates - The defining characteristic of a template is that it is value based. It specifies exactly the values that must be used.
National Standards graded 4Pol are standards which meet the below criteria and should be considered first, before any other standard in that category, as they fit the National Policing Digital Strategy allowing forces and suppliers to converge on a single set of standards.
- Support minimum legal requirements where they exist
- Align with the National Policing Digital Strategy to ensure strategic alignment and design
- Align with the TechUK Justice & Emergency Services Interoperability Charter to deliver better data sharing, exchanging and exploitation
- Direct relevance and applicability to policing
- Represent best practice
- Able to be measured and achieved within the unique landscape of policing
National Standards graded MLR stem directly from legislative requirements, such as the General Data Protection Regulation (GDPR) standards. These are National Standards which represent the minimum requirements to ensure that data and technology in use is operated in a lawfully compliant manner. These should be considered the baseline in applicable categories.
National Standards are divided into broad categories based on their focus. To recognise there is no clear dividing line, some National Standards may possess two categories, but the selected category reflects the primary focus of the National Standard:
- Analytics - Digital systems capable of creating actionable information from structured or unstructured data
- Asset Management - The way in which IT assets are acquired, used and disposed of
- Incident, Crime and Records Management Systems
- Digital systems used to manage policing and corporate records
- Cloud - Remote, off-premises computer system resources which host a range of functions across a potentially wide range of distributed sites
- Data - Information held in a structured or unstructured digital format
- Devices - Physical devices capable of viewing, changing, creating, distributing or storing digital information
- Digital Media - Media stored in an electronic format from any source
- Enterprise Resource Planning - Enterprise resource planning (ERP) is the management of integrated business processes via a software solution
- Forensics - The use of investigative technology and methodology to gather intelligence and admissible evidence
- Intelligence Systems - Digital system used to view, change, create, distribute or store sensitive digital information
- Justice - Systems, technologies and methodologies used within the Criminal Justice System
- Mobility - Software specifically designed to run on a mobile device such as a phone, tablet or watch
- Office Productivity & Collaboration Systems - Software specifically designed to address specific business needs such as communication, collaboration, document creation and content management
- Operational Policing - Specialist operational policing functions
- Security - The technology and methodology used in the protection of digital assets and services
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
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/)
Project to identify and provide support to forces as they transition capabilities from legacy on-premises systems to cloud technologies.
For further information, please use the 'Contact Us' tab, to get in touch with the relevant authoring team.
ISO 17020:2012 Requirements for the operation of various types of bodies performing inspection (Crime Scene Investigation)
ISO 17020:2012 specifies requirements for the competence of bodies (including police forces) performing inspection and for the impartiality and consistency of their inspection activities, this specifically relates to forensic practitioners conducting examinations at scenes of crime.
This manual has been produced by the NPCC Data Protection, Freedom of Information, information Sharing and Disclosure Portfolio Group on behalf of the NPCC. It is updated and adapted to reflect decisions made by the NPCC, views of the Information Commissioner’s Office (ICO) (where appropriate) and the evolution of the legislation as it is interpreted, challenged or reviewed.
Note that this manual has not yet been updated to reflect the legislative changes arising from The Data Protection, Privacy and Electronic Communications (Amendments etc)(EU Exit) Regulations 2019 as amended by The Data Protection, Privacy and Electronic Communications (Amendments etc)(EU Exit) Regulations 2020.
The manual should be regarded as a document that both helps to create an environment across the police service in which compliance can be achieved, and as a means of providing guidance in areas of police business where the Act is regularly applied.
The manual contains a wide variety of information including:
- Breakdown of governance and responsibilities
- General processing (GDPR & DPA Part 2)
- Comparison between General Processing and Law Enforcement obligations
- Law Enforcement processing (Part 3 of DPA)
- Intelligence Service processing (Part 4 of DPA)
- Assessing data protection compliance
- The Commisioner, enforcement & offences
- Case studies
- Wide variety of appendices including
- Template DPIA
- Template National data processing contract
- Template information sharing agreement
- Template Data Protection policy