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Stratégie ministérielle d'ISDE en matière de données (view source)
Revision as of 10:25, 5 January 2021
, 10:25, 5 January 2021Created page with "('''Francais''': Stratégie ministérielle d'ISDE en matière de données) ('''Home Page''': ISED Data Strategy) == ISED Departmental Data Strategy: The Way Forward =..."
('''Francais''': [[Stratégie ministérielle d'ISDE en matière de données]]) ('''Home Page''': [[ISED Data Strategy]])
== ISED Departmental Data Strategy: The Way Forward ==
=== Vision: ===
ISED leverages the power of data to foster a growing, competitive and knowledge based economy.
=== Mission: ===
By providing employees with the data, skills and tools they need, we will achieve excellence in serving Canadians and Canadian businesses.
{|
|
==== Business Drivers ====
* Enhanced service delivery
* Evidence based policies, research and evaluation
* Strengthened reporting capacity and story telling
* Enriched internal services
* Improved regulation and enforcement
|
|
|-
|
==== '''Goals''' ====
* Canadians and Canadian businesses are better informed and served
* ISED adopts a data culture where data are discoverable, accessible, secure and of high quality
* ISED's talent base is enhanced with new skills and experimentation is promoted
* Public trust is honoured by ensuring that data are handled ethically and securely
|
|
|}
==== What are we doing? ====
There are six pillars of the ISED Data Strategy, each of which has high level initiatives in three phases of implementation; laying the foundation, building the momentum and adopting a data culture. The following table addresses each pillar by phase of implementation.
{|
!
!
=== Laying the foundations ===
!
=== Building the momentum ===
!
=== Adopting a data culture ===
|-
|
==== '''Data governance''' ====
_____________
|'''Data-related leadership established'''
* Chief Data Office
* Data Governance Structure
* Identify key data stewards & champions
* Identify processes to manage data at enterprise level (sharing & storing protocols)
_______________________
|'''Culture shift across ISED'''
* Data Steward and Champion network established
* Implement & oversee data processes
_______________________
|'''People value their data and treat it as an asset'''
* Monitor adoption of data processes & standards aligned with GoC
* Data Stewards facilitate access to data
_______________________
|-
|
==== '''Data Access''' ====
_____________
|'''Data access challenges are well understood'''
* Inventory & valuation of data assets
* Inventory data sharing agreements
* Assessment of legislative & policy framework for data sharing
_______________________
|'''Work on transformative data access initiatives'''
* Develop common consent statement for data sharing
* Create roadmap for a data sharing hub
* Partner with Sectors to pilot data sharing and data integration Investigate data sharing opportunities across all levels of government
_______________________
|'''ISED data are open by default'''
* Launch common consent statement for data sharing & monitor data sharing
* Deploy self-service data sharing hub
* Expand data sharing to all levels of government
_______________________
|-
|
==== '''Data Framework''' ====
_____________
|'''Data framework and models are developed'''
* Data standards, including Common Business Profile and dictionaries, developed and piloted Framework for ethical, secure use & storage of data developed
* Detailed data models for collection, acquisition, processing and storage conceptualized and piloted
_______________________
|'''Put in place data framework and models'''
* Process to handle and use data are known
* Quality assurance standards developed Data standards launched
* Framework for ethical & secure data use implemented
* Data models in place across the department
_______________________
|'''Protection of data via privacy by design'''
* Staff confidently conduct work with high quality data, with well-established data standards, definitions, and the privacy and security of Canada's data assured
_______________________
|-
|
==== '''Talent''' ====
_____________
|'''Baseline and identify skills gaps'''
* Identify business needs
* Assess data literacy
* Identify data-related learning and development
_______________________
|'''Our workforce begins to transform'''
* Develop career path & data competencies
* Upskill and retrain new and existing staff
* Recruitment strategy based on required data skills
_______________________
|'''We have trained people to reach our goals'''
* Ongoing recruitment & development
* Talent retention initiative
* Data as core competency for career development
_______________________
|-
|
==== '''Innovation''' ====
_____________
|'''Foundation for change is established'''
* Early opportunities identified
* First data analytics pilots undertaken
* Success stories shared
_______________________
|'''Experimentation begins to yield results'''
* Roll-out successful pilots to other sectors
* Continue to communicate approaches and use cases
* Identify mechanism for making decisions on proposed innovative solutions
_______________________
|'''Innovation becomes common business practice'''
* Initiate departmental analytics support
* Develop Free Agent data talent matching service (data-skilled talent pool for short-term work)
* Establish data science pipeline
_______________________
|-
|
==== '''Technology''' ====
_____________
|'''Higher organizational awareness of existing solutions'''
* Determine technology requirements
* Establish technology strategy
* Experiment with technology solutions for data (management, sharing, creation, data analytics)
* Roadmap for Client Relationship Management (CRM)
_______________________
|'''New tools and processes put in place'''
* Implement technology strategy
* Business processes for use of new technologies
* On-site storage, common data software suite
* Business analytics tools available
_______________________
|'''Internal technology keeps pace with innovation'''
* Integrated suite of IT tools for data and analytics
* Departmental Client Relationship Management with Common Business Profile
* Continual evaluation of Next Generation technology with new tech use on demand
_______________________
|}
== ISED Departmental Data Strategy: The Way Forward ==
=== Vision: ===
ISED leverages the power of data to foster a growing, competitive and knowledge based economy.
=== Mission: ===
By providing employees with the data, skills and tools they need, we will achieve excellence in serving Canadians and Canadian businesses.
{|
|
==== Business Drivers ====
* Enhanced service delivery
* Evidence based policies, research and evaluation
* Strengthened reporting capacity and story telling
* Enriched internal services
* Improved regulation and enforcement
|
|
|-
|
==== '''Goals''' ====
* Canadians and Canadian businesses are better informed and served
* ISED adopts a data culture where data are discoverable, accessible, secure and of high quality
* ISED's talent base is enhanced with new skills and experimentation is promoted
* Public trust is honoured by ensuring that data are handled ethically and securely
|
|
|}
==== What are we doing? ====
There are six pillars of the ISED Data Strategy, each of which has high level initiatives in three phases of implementation; laying the foundation, building the momentum and adopting a data culture. The following table addresses each pillar by phase of implementation.
{|
!
!
=== Laying the foundations ===
!
=== Building the momentum ===
!
=== Adopting a data culture ===
|-
|
==== '''Data governance''' ====
_____________
|'''Data-related leadership established'''
* Chief Data Office
* Data Governance Structure
* Identify key data stewards & champions
* Identify processes to manage data at enterprise level (sharing & storing protocols)
_______________________
|'''Culture shift across ISED'''
* Data Steward and Champion network established
* Implement & oversee data processes
_______________________
|'''People value their data and treat it as an asset'''
* Monitor adoption of data processes & standards aligned with GoC
* Data Stewards facilitate access to data
_______________________
|-
|
==== '''Data Access''' ====
_____________
|'''Data access challenges are well understood'''
* Inventory & valuation of data assets
* Inventory data sharing agreements
* Assessment of legislative & policy framework for data sharing
_______________________
|'''Work on transformative data access initiatives'''
* Develop common consent statement for data sharing
* Create roadmap for a data sharing hub
* Partner with Sectors to pilot data sharing and data integration Investigate data sharing opportunities across all levels of government
_______________________
|'''ISED data are open by default'''
* Launch common consent statement for data sharing & monitor data sharing
* Deploy self-service data sharing hub
* Expand data sharing to all levels of government
_______________________
|-
|
==== '''Data Framework''' ====
_____________
|'''Data framework and models are developed'''
* Data standards, including Common Business Profile and dictionaries, developed and piloted Framework for ethical, secure use & storage of data developed
* Detailed data models for collection, acquisition, processing and storage conceptualized and piloted
_______________________
|'''Put in place data framework and models'''
* Process to handle and use data are known
* Quality assurance standards developed Data standards launched
* Framework for ethical & secure data use implemented
* Data models in place across the department
_______________________
|'''Protection of data via privacy by design'''
* Staff confidently conduct work with high quality data, with well-established data standards, definitions, and the privacy and security of Canada's data assured
_______________________
|-
|
==== '''Talent''' ====
_____________
|'''Baseline and identify skills gaps'''
* Identify business needs
* Assess data literacy
* Identify data-related learning and development
_______________________
|'''Our workforce begins to transform'''
* Develop career path & data competencies
* Upskill and retrain new and existing staff
* Recruitment strategy based on required data skills
_______________________
|'''We have trained people to reach our goals'''
* Ongoing recruitment & development
* Talent retention initiative
* Data as core competency for career development
_______________________
|-
|
==== '''Innovation''' ====
_____________
|'''Foundation for change is established'''
* Early opportunities identified
* First data analytics pilots undertaken
* Success stories shared
_______________________
|'''Experimentation begins to yield results'''
* Roll-out successful pilots to other sectors
* Continue to communicate approaches and use cases
* Identify mechanism for making decisions on proposed innovative solutions
_______________________
|'''Innovation becomes common business practice'''
* Initiate departmental analytics support
* Develop Free Agent data talent matching service (data-skilled talent pool for short-term work)
* Establish data science pipeline
_______________________
|-
|
==== '''Technology''' ====
_____________
|'''Higher organizational awareness of existing solutions'''
* Determine technology requirements
* Establish technology strategy
* Experiment with technology solutions for data (management, sharing, creation, data analytics)
* Roadmap for Client Relationship Management (CRM)
_______________________
|'''New tools and processes put in place'''
* Implement technology strategy
* Business processes for use of new technologies
* On-site storage, common data software suite
* Business analytics tools available
_______________________
|'''Internal technology keeps pace with innovation'''
* Integrated suite of IT tools for data and analytics
* Departmental Client Relationship Management with Common Business Profile
* Continual evaluation of Next Generation technology with new tech use on demand
_______________________
|}