NR NR/L2/ADG/002/14 ISSUE 1 PDF

This module specifies the process for accountable and responsible parties to operate and amend the asset data governance framework.

This module applies to the entire asset management capability as defined within Network Rail’s asset management strategy, both internal and external to Network Rail throughout the lifecycle of asset data. It does not include data related to non-operational assets such as IT and office facilities assets.

This module applies when:

a) performing self and cross functional assurance of asset data;

b) modifying the responsibilities and accountabilities for asset related data;

c) new hazards are identified through risk assessment, self-assurance and cross functional assurance of asset data and data management processes;

d) modifying the processes and standards for asset data governance.

Purpose

This module sets out the process to:

a) maintain and manage the asset data governance framework;

b) modify the framework in response to business or regulatory needs and to manage risk;

c) maintain and manage the log of hazards related to asset related data and maintain the safety plan to mitigate risks and support interoperability of the railway;

d) define the grades and definition of governance used to assess the level of governance over asset data and the associated asset data management processes;

e) provide an escalation path for issues related to asset data.

It supports Network Rail in realising the principles in NR/L1/ADG/001 that set out how Network Rail performs verification and validation of the quality management system for asset data:

a) review asset data management and governance arrangements to enable continuous improvement of the quality of data;

b) develop skills and competencies of personnel to professionalise the management of asset-related data;

c) remediation and business improvement activities occur;

d) apply and define measures of quality for asset-related data to establish whether it is fit for purpose for decision-making, internal and external reporting; use in business processes; and whole lifecycle management of assets;

e) structure and maintain data so that it is accessible to consumers;

f) define and apply measures of quality and data specifications for asset related data in line with information security, legal and regulatory requirements as defined by the Heads of Information Security and Cyber Security;

g) apply metadata for unstructured asset-related data and information in alignment with the standards for the classification of unstructured data as documented in NR/L3/INF/02222 Metadata for Documents and Records;

h) define and embed accountabilities and responsibilities over given asset-related data sets;

i) verify consistent application of data models describing how data is structured at the conceptual, logical and physical levels through the involvement of both business and IT stakeholders to define solutions; j) correct data errors as close to the source of the error, and at the root cause of the error as possible;

k) perform self-assurance (level 1), cross-functional assurance (level 2) and internal and external assurance (level 3), and external reporting to regulators

l) perform root cause analysis of data quality issues;

m) enact remediation and business improvement activities. Through the provision of the asset data governance framework, this module mitigates these asset-data related hazards:

a) structural inability to process data or refine data b) ineffective processing of quality improved / corrected data;

c) failure to identify correct data accuracy and precision;

d) recurrence of data errors;

e) failure to provide an effective data improvement plan;

f) persistence and accumulation of erroneous data;

g) structural inability to implement schema across enterprise systems.

This module forms part of the quality management system for asset-related data, which interfaces with these processes and related management systems (nonexclusive):

a) Enterprise risk management;

b) Network Rail data governance frameworks;

c) Asset Management System (AMS);

d) Health and Safety Management.