Three key areas of focus for enhancing the quality of Policing and the Fire and Rescue Services data for improved collaboration and coordination

In an increasingly interconnected world, the ability of policing and the Fire and Rescue Service (FRS) to share accurate and timely information is crucial for the safety of the public. The data that these services collect, store and share lie at the heart of this capability. When the data is of high quality it facilitates not only the effective coordination between agencies but also the successful outcomes of both routine and critical situations.

Although FRS may not have direct access to policing systems such as the Police National Database (PND), Police National Computer (PNC) and other information platforms and databases, the FRS may receive necessary information from the police if it is relevant to an ongoing incident, particularly when there are safety or security concerns. In such cases, the police can share relevant information to assist with incident planning or risk assessment. The utility of these systems is directly tied to the accuracy and quality of the data they store, which is underpinned by robust information governance practices.

The role of information systems in data sharing

Information systems and databases provide a backbone for data interoperability across policing and the FRS. By allowing real-time access to critical intelligence, these systems support faster threat identification, operational planning, and decision-making. Yet, their effectiveness hinges on the quality of data inputted. Any errors, omissions or inconsistencies in data input can significantly impair the value of these systems, leading to missed opportunities or operational risks. With this in mind, we propose three key areas of focus to enhance the quality of data:

1. Human Accuracy: A Critical Factor in Improving Data Quality (H3)

Human accuracy is foundational in maintaining high data quality within systems like the PND and PNC. Although these databases are technologically advanced, their reliability depends significantly on the precision and attentiveness of individuals involved in data entry and validation. Human accuracy entails not only careful data input but also consistent adherence to data management protocols, thorough review process, and diligent cross-checking of information. Steps such as these ensure the records are complete, up-to-date and free of errors. This level of data quality ensures that investigators and officers receive precise, actionable insights. Poor data quality can hinder situational awareness, leading to suboptimal responses or delayed decision making. Building a culture that prioritises data accuracy among staff is therefore vital in maintaining effective inter-agency communication.

2. Data Protection as an Enabler of Quality Data.

High quality data is inherently connected to data protection. When data is accurate, complete and up to-date, it is easier to classify, secure and manage. This minimises risks such as unauthorised access or data breaches. Reliable data ensures that sensitive information is properly categorised, allowing for better control over who can access it. Strong data protection practices reinforce the trustworthiness of the data shared between policing and the FRS, ensuring that it is both accessible and secure.

Building Trust Through Accurate Data

The accuracy and reliability of data within policing and the FRS are essential to safe and effective collaboration. As agencies work towards greater interoperability, they must invest in human accuracy, data protection, and regular data audits. Together, these elements create a robust foundation for data integrity, allowing services to operate confidentially and collaboratively. By fostering a culture of accuracy and establishing strong information governance practices, agencies not only improve their internal effectiveness but also enhance public trust and safety, ensuring that both routine and critical operations are supported by the highest quality of information.

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