A major large Canadian organization responsible for administering infrastructure funding programs operates a complex data ecosystem spanning grants, projects, stakeholders, locations, financial data, and program activity. The department had developed a formal data strategy with three key focus areas: maturing the departmental data culture, modernizing data management capabilities, and integrating and governing data assets. However, the strategy required translation into practical, role-specific guidance that data practitioners could act on in their day-to-day responsibilities.

The department’s data environment is managed by a distributed network of practitioners holding defined roles: Data Stewards who manage relationships and asset quality; Data Contributors who supply data aligned to business policies; Data Custodians who ensure the integrity and custody of hosted data; Data Trustees at the executive level who hold strategic accountability; and Data Consumers including analysts and data scientists who generate insights from departmental assets. Aligning all of these roles to a common framework, the FAIR principles (Findable, Accessible, Interoperable, Reusable), required a structured knowledge resource that could serve as a bridge between the data strategy and daily operational activities.

Bronson was engaged to develop the FAIR Handbook, a comprehensive data literacy resource designed to accelerate the OCDO’s mission of building a data-driven culture across the department. The handbook was published by the OCDO in July 2023 and is intended for use by all data practitioners as a foundational reference for the department’s data management practices.

The Challenge

Translating a departmental data strategy into a usable, role-specific operational guide required balancing strategic completeness with accessibility across a diverse and distributed practitioner population.

• Bridging strategy and operations. The department’s data strategy articulated clear outcomes but did not specify how individual practitioners should apply those outcomes in their roles. The handbook needed to serve as a practical bridge without duplicating or replacing the source strategy or the procedures and standards documents that govern specific activities.
• Multi-role applicability. The department’s data ecosystem includes at least five defined practitioner roles, each with distinct responsibilities, knowledge requirements, and maturity paths. The handbook needed to speak meaningfully to all of them without collapsing into a generic overview that served none of them well.
• FAIR as an organizing framework. The FAIR principles are broadly adopted across the public sector but require contextualization to be actionable within a specific departmental environment. The handbook needed to ground FAIR in the department’s actual data assets, domains, and pipeline activities rather than presenting it as an abstract standard.
• Literacy progression across maturity levels. Data literacy at the department spans from individual awareness of basic concepts through to enterprise-level application of shared standards across communities of practice and other departments. The handbook needed to represent this progression clearly and connect it to practical expectations for each role at each stage.
• Data pipeline documentation at depth. The four-stage data pipeline (Architecture, Management, Governance, Analytics and AI) involves multiple stakeholder groups at each stage, each with different questions, focus areas, and responsibilities. Documenting this comprehensively while keeping the material accessible required careful structure and illustrative framing.
• Data asset lifecycle integration. Beyond pipeline management, the handbook needed to address the full data asset lifecycle including planning, maintenance, enhancement, and decommissioning, framed in terms of the DAMA data lifecycle model and mapped to the department’s operational context.
• Illustrative examples and case studies. Abstract principles require grounding. The handbook needed concrete case studies and role-specific scenarios that demonstrated how FAIR applies in practice within the department’s program environment, including examples involving grants, projects, personnel, and locations.

The department needed a reference document that was both strategically grounded and immediately usable, capable of accelerating individual data literacy while also establishing the shared vocabulary and frameworks necessary for enterprise-level maturity.

Our Solution

Bronson structured the handbook across four major content areas, each corresponding to a foundational element of the departmental data strategy, and developed the material to serve both as a learning resource and an ongoing operational reference.

1. INFC Data Context and Strategy Overview

Bronson opened the handbook with a clear summary of the departmental data strategy, its three focus areas, and the role of the OCDO in operationalizing it. This section established the “why” behind the handbook, connecting individual data literacy efforts to the department’s broader strategic objectives and to the national data strategy framework.

2. Data Literacy Framework and FAIR Principles

Bronson developed a structured overview of data literacy as a progression from individual awareness through applied use to community, domain, and enterprise-level capability. This section introduced the FAIR principles in detail, including what each principle means in the context of the department’s data assets, how metadata supports findability and reuse, and how interoperability is achieved through common identifiers, vocabularies, and cross-references. The section included a case study on interoperable data illustrating how grants, projects, people, and locations must share common metadata fields to support multidimensional analysis.

3. Role-Specific Literacy Paths

Bronson developed a detailed literacy path for each of the five practitioner roles, structured around the distinction between awareness (knowing the principles) and applied use (acting on them). For each role and each FAIR dimension, the handbook specifies what the practitioner should know and what they should be doing, producing a practical skills and responsibilities matrix that practitioners and managers can use to assess and develop data literacy at the individual level. Role-specific day-in-the-life scenarios were developed for Data Stewards, Data Contributors, Data Custodians, Data Trustees, Data Analysts, and Data Scientists to illustrate how the principles play out in realistic departmental situations.

4. Data Pipeline Documentation

Bronson documented the four-stage departmental data pipeline in full, with detailed coverage of the three steps within the Data Architecture Stage (Business Requirements, Data Architecture, Data Models and Standards) and summary-level coverage of the Data Management, Governance, and Analytics and AI stages. For each stage and step, the handbook provides a description of what the stage accomplishes, the key questions each practitioner role brings to the stage, and the specific areas of focus that determine success. This section is structured to support both individual practitioners navigating a new capability request and OCDO staff communicating the engagement model to business stakeholders.

5. Data Asset Management and Lifecycle

Bronson developed the data asset management section around the DAMA data lifecycle model, covering the Plan, Maintain, Enhance, and Dispose Of phases in detail. For each phase, the handbook documents the practitioner roles involved, the key questions they should be asking, and the core focus areas that define their responsibilities. This section grounds the abstract concept of data as an asset in the department’s operational context and provides clear accountability structures for sustaining data assets beyond their initial creation.

6. Data Quality Framework Integration

Bronson developed an appendix integrating the departmental data quality framework with the FAIR principles and the pipeline stages, demonstrating how quality management activities (defining quality, developing quality management strategy, monitoring and implementing, and conducting quality operations) map across the pipeline and data lifecycle. This appendix provides practitioners with a structured view of where data quality activities belong in the overall data management process.

Key Deliverables

FAIR Handbook (Published July 2023) – A 36-page comprehensive data literacy and data management reference guide covering the departmental data strategy, FAIR principles, role-specific literacy paths, the four-stage data pipeline, and the data asset lifecycle, published by the OCDO for use across the department.

Enterprise Data Literacy Path Diagram – A visual framework representing the four-stage progression from individual awareness through applied use to community/domain and enterprise-level data literacy, mapped against the individual-to-organizational spectrum of responsibility.

Role-Specific FAIR Literacy Matrices – Five structured awareness/applied-use matrices covering Data Stewards, Data Contributors, Data Custodians, Data Trustees, and Data Consumers, each specifying knowledge and action requirements across all four FAIR dimensions.

Data Pipeline Stage Documentation – Detailed documentation of the Business Requirements, Data Architecture, and Data Models and Standards steps within the Data Architecture Stage, including who is involved, key questions, and areas of focus for each practitioner role.

The Impact

Bronson’s engagement produced a publishable, operational resource that gave the department’s data practitioner community a common language, a shared framework, and clear role-specific guidance for the first time.

• The handbook provides a single reference document that connects the departmental data strategy to the day-to-day responsibilities of every data practitioner role, eliminating the gap between strategic intent and operational action.
• The role-specific literacy matrices give managers and practitioners a structured tool for assessing data literacy levels and identifying development priorities, supporting the OCDO’s mandate to advance departmental data culture.
• The data pipeline documentation gives business stakeholders outside the OCDO a clear understanding of how to engage the data management process, reducing friction in new capability requests and improving the quality of business requirements at project initiation.
• The data asset lifecycle section establishes accountability structures for sustaining data assets beyond their creation, directly supporting the department’s goal of managing data as a long-term strategic asset rather than a byproduct of program delivery.

The engagement reflects Bronson’s ability to translate complex strategic frameworks into practical, role-specific operational guidance. By grounding the FAIR principles in the department’s actual data assets, programs, and organizational structures, Bronson produced a resource with lasting utility: a handbook that works as a day-one orientation tool, a practitioner reference, and a foundation for the data literacy training and development activities the OCDO continues to build.