Changes

=== Data Governance ===

=== Data Governance ===

Strong data governance is foundational to developing an ISED data culture that treats data as a strategic asset. Data governance means having data-related leadership, with clearly defined roles, responsibilities and accountabilities with decision-making authority within a structure to govern data. Data standards for quality and metadata, as well as data management processes throughout the data lifecycle are also critical components of data governance.C

Strong data governance is foundational to developing an ISED data culture that treats data as a strategic asset. Data governance means having data-related leadership, with clearly defined roles, responsibilities and accountabilities with decision-making authority within a structure to govern data. Data standards for quality and metadata, as well as data management processes throughout the data lifecycle are also critical components of data governance.

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|+INITIATIVES OF DATA GOVERNANCE

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|+'''INITIATIVES OF DATA GOVERNANCE'''

|Formalize a departmental Data Governance Structure with clear roles and responsibilities for all involved

|Formalize a departmental Data Governance Structure with clear roles and responsibilities for all involved

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=== Data Access ===

=== Data Access ===

Data access is the building block for leveraging existing information to improve decision-making and service delivery, as well as for accelerating partnerships within the department and between all levels of government. ISED data holdings must be discoverable, usable and shareable. This includes the need to develop a common consent statement for sharing to facilitate greater future access and interoperability across different data holdings.

Data access is the building block for leveraging existing information to improve decision-making and service delivery, as well as for accelerating partnerships within the department and between all levels of government. ISED data holdings must be discoverable, usable and shareable. This includes the need to develop a common consent statement for sharing to facilitate greater future access and interoperability across different data holdings.

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INITIATIVES OF DATA ACCESS

'''INITIATIVES OF DATA ACCESS'''

|Create the ISED Data Catalogue                                                                                                                       

|Create the ISED Data Catalogue                                                                                                                       

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=== Data Framework ===

=== Data Framework ===

Understanding how data flows within ISED, including upholding the ethical treatment of sensitive and private information is essential to how data is managed and leverage. Data models, aligned to departmental priorities, will ensure standardization of key concepts and will result in high quality data for use at the enterprise level.

Understanding how data flows within ISED, including upholding the ethical treatment of sensitive and private information is essential to how data is managed and leverage. Data models, aligned to departmental priorities, will ensure standardization of key concepts and will result in high quality data for use at the enterprise level.

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INITIATIVES OF DATA FRAMEWORK

'''INITIATIVES OF DATA FRAMEWORK'''

|Create Departmental Data Standards and definitions                                                                                     

|Create Departmental Data Standards and definitions                                                                                     

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=== Talent ===

=== Talent ===

To enable a data culture, ISED must have the talent and capacity it needs to manage, interpret, use and understand data. To start, knowing the current state of data literacy and skills gaps will help identify strategic training, recruitment and retention requirements to transform a workforce that has the data skills needed to reach ISED data goals.

To enable a data culture, ISED must have the talent and capacity it needs to manage, interpret, use and understand data. To start, knowing the current state of data literacy and skills gaps will help identify strategic training, recruitment and retention requirements to transform a workforce that has the data skills needed to reach ISED data goals.

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INITIATIVES OF TALENT

'''INITIATIVES OF TALENT'''

|Identify data-related learning and development and offer CDO Learning Activities                                       

|Identify data-related learning and development and offer CDO Learning Activities                                       

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=== Innovation ===

=== Innovation ===

Fostering innovation will help propel ISED to continue being a leader in helping Canadians and businesses be competitive in their current and future work. Time and resources dedicated and available for experimentation, with particular focus on those projects that are replicable and scalable, will ensure that data are leveraged to their greatest potential.

Fostering innovation will help propel ISED to continue being a leader in helping Canadians and businesses be competitive in their current and future work. Time and resources dedicated and available for experimentation, with particular focus on those projects that are replicable and scalable, will ensure that data are leveraged to their greatest potential.

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INITIATIVES OF INNOVATION

'''INITIATIVES OF INNOVATION'''

|Data analytics pilots                                                                                                   

|Data analytics pilots                                                                                                   

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=== Technology ===

=== Technology ===

The proper tools to collect, manage, store and analyze data must be in place to support the optimization of data. Creating this enabling environment means determining the technological requirements and establishing a Technology Roadmap to support the implementation of the ISED Data Strategy. In doing so, ISED's internal technology will keep pace with innovation and the department will have the structure in place to evaluate and adopt newly generated technologies.  

The proper tools to collect, manage, store and analyze data must be in place to support the optimization of data. Creating this enabling environment means determining the technological requirements and establishing a Technology Roadmap to support the implementation of the ISED Data Strategy. In doing so, ISED's internal technology will keep pace with innovation and the department will have the structure in place to evaluate and adopt newly generated technologies.  

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INITIATIVES OF TECHNOLOGY

'''INITIATIVES OF TECHNOLOGY'''

|Technology requirements                                                                                                         

|Technology requirements                                                                                                         

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