Overview of the PSC Data Management Strategy (DMS): The Right Data, The Right Way, In The Right Hands, At The Right Time

Overview of the PSC Data Management Strategy (DMS): The Right Data, The Right Way, In The Right Hands, At The Right Time

Desired Outcomes:

• Governance: exists at the right level to ensure that data is managed holistically as a strategic asset
• Data as an Asset:  the PSC has the data it needs, which is fit for use and available
• People and Culture: the PSC employees have access to the data they need and the talent and capacity to use, manage, interpret and understand data to maximize its value
• Infrastructure: the PSC has the infrastructure and tools to facilitate data management and analytics

Implementation Plan:

PSC DMS First Pillar: Data Management

Establish the Foundation

Clarify data responsibilities

• Formalize Committees and TORs / Define and communicate Chief Data Officer function (CDO)
• Clarify roles and responsibilities related to data (CDO, Stewards/curators, Data custodians) and list of authoritative sources for PSC data elements
• Establish protocols for data sharing within and outside the PSC

Define Success

• Develop Results Measurement Framework for DMS Data management strategy
• Develop Change Management/Communication Strategy

Promote Ethical Use of Data

• Create corporate list of PSC protocols and data sharing agreements
• Create templates and guidelines for data sharing within and outside the PSC
• Implement mechanisms to mitigate duplication of data holdings
• Review privacy notice statements

Assess current data situation

• Assess PSC data risks
• Conduct PSC data management maturity assessment
• Develop action plan/mitigation strategies to address data risks and maturity findings

Build Momentum

Manage our data

• Develop PSC Policy on Data Quality
• Coordinate data acquisition

Remain vigilant with security and privacy

• Develop PSC Policy on Data Security and Privacy
• Review, strengthen and formalize established Access Management practices

Deliver

• Implement Change Management/ Communication Strategy
• Assess progress against DMS using the Results Measurement Framework

Address data risks and maturity findings

Prioritize and start implementing action plan/mitigation strategies

Assess and Adjust

Assess outcomes of Data Management Strategy

• Measure the impact at the employee and organisational levels

Assess PSC data literacy progress

• Administer second survey and analyze results
• Adjust learning, change management and communication strategies

Align PSC Data Strategy with GC direction

• Update PSC Data Management Strategy and align with GC direction and PSC needs

Address risks and maturity findings (cont)

• Assess progress
• Reassess/validate risks
• Continue/adjust action plan/mitigation strategies activities

PSC DMS Second Pillar: Data Users

Establish the foundation

Assess state of data literacy

• Administer Baseline Survey and conduct analysis
• Develop PSC Data Literacy Plan
• Start developing data literacy material (one module at a time)
• Plan for delivery of learning modules

Release data of value

• Engage to provide value-added data
• Update existing open datasets
• Assess new data holdings for eligibility and release new open datasets
• Update PSC Data Inventory

Strengthen analytical capacity

• Develop and implement a competency-based framework for data analysts/scientists
• Establish PSC Data Lab to support advanced research and simulations
• Establish sandbox to test and procure advanced analytical and visualization tools

Build momentum

Respond to data users’ needs

• Deliver PSC Data Literacy Plan (one module at a time)
• Deliver a series of learning modules to increase awareness and knowledge of data
• Offer refresher courses on information management

Enhance access to data

• Establish a PSC-wide data catalogue
• Create new open datasets based on engagement findings
• Promote self-service
• Develop Data Access and Dissemination Plan
• Communicate and provide information on new data products

Assess and Adjust

Bring data knowledge to a new level

• Conduct learning activities on how to interpret and apply staffing data, including methodologies, limitations, standards
• Deliver new products to support emerging data needs

PSC DMS Third Pillar: Data Infrastructure

Establish the foundation

Plan future infrastructure

• Initiate feasibility assessment for Data Lake – start with PIMS as a pilot project
• Establish project Steering Committee for Data Lake
• Conduct departmental consultations

Know the data we hold

• Initiate PSC Corporate Data Asset Inventory (‘the untouchables’) – start with PIMS
• Document data life cycle - start with PIMS

Built Momentum

Implement Data Lake environment

• Build on pilot project to create new environment

Make the new environment work

• Establish Master Data Management Plan
• Implement PSC data dictionary solution
• Connect with Next Gen HR data requirements to ensure operability
• Explore new solutions for data visualization through the renewal of Impromptu
• Grow PSC Corporate Data Asset Inventory to other data holdings including Departmental Results Framework indicators

Assess and Adjust

Leverage Data Lake

• Onboard new data holdings in Data Lake

Expand data management practices

• Establish organizational norms regarding the capture and use of metadata
• Implement and standardize Reference Tables for Classifications, Regions and Departments