Changes

:The circulation or movement of computerised data and information through interoperable systems and across organizations, geopolitical regions or jurisdictions.<ref>Organisation for Economic Co-operation and Development (1985). ''Declaration on Transborder Data Flows''. OECD: Better Policies for Better Lives. https://www.oecd.org/sti/ieconomy/declarationontransborderdataflows.htm</ref>

:The circulation or movement of computerised data and information through interoperable systems and across organizations, geopolitical regions or jurisdictions.<ref>Organisation for Economic Co-operation and Development (1985). ''Declaration on Transborder Data Flows''. OECD: Better Policies for Better Lives. https://www.oecd.org/sti/ieconomy/declarationontransborderdataflows.htm</ref>

=== Data governance ===

=== Data governance ===

:A system of decision rights and accountabilities, responsibilities and rules for the management of the availability, usability, integrity and security of the data and information to enable coherent implementation and co-ordination of data stewardship activities as well as increase the capacity (technical or otherwise) to better control the data value chain, and the resulting regulations, policies and frameworks that provide enforcement. This includes the systems within an enterprise, organization or government that define who has authority and control over data assets and how those data assets may be used, as well as the people, processes, tools and technologies required to manage and protect data assets .<ref name=":2" /><ref>Data Governance Institute (n.d.). ''Governance and Decision Making''. Data Governance Institute. https://datagovernance.com/governance-and-decision-making/  </ref><ref>Organisation for Economic Co-operation and Development (2019). Data Governance in the Public Sector ''In'' ''The Path to Becoming a Data-Driven Public Sector'', OECD Digital Government Studies, OECD Publishing, Paris. https://doi.org/10.1787/059814a7-en.  </ref><ref name=":5">Plotkin, D. (2021). Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance (2^nd Ed.). London, UK: Academic Press.</ref><ref name=":1">Statistics Canada (2021). ''Enterprise Information and Data Management Glossary'' [PDF]. Unpublished internal departmental document.  </ref><ref name=":10">Statistics Canada (2019). Statistics Canada Data Strategy: Delivering insight through data for a better Canada https://www.statcan.gc.ca/en/about/datastrategy</ref><ref name=":4">Statistics Canada (2021). ''Statistics Canada’s Aspects of Data Stewardship'' [PDF]. Unpublished internal departmental document. </ref>

:A system of decision rights and accountabilities, responsibilities and rules for the management of the availability, usability, integrity and security of the data and information to enable coherent implementation and co-ordination of data stewardship activities as well as increase the capacity (technical or otherwise) to better control the data value chain, and the resulting regulations, policies and frameworks that provide enforcement. This includes the systems within an enterprise, organization or government that define who has authority and control over data assets and how those data assets may be used, as well as the people, processes, tools and technologies required to manage and protect data assets .<ref name=":2" /><ref>Data Governance Institute (n.d.). ''Governance and Decision Making''. Data Governance Institute. https://datagovernance.com/governance-and-decision-making/  </ref><ref>Organisation for Economic Co-operation and Development (2019). Data Governance in the Public Sector ''In'' ''The Path to Becoming a Data-Driven Public Sector'', OECD Digital Government Studies, OECD Publishing, Paris. https://doi.org/10.1787/059814a7-en.  </ref><ref name=":5">Plotkin, D. (2021). Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance (2^nd Ed.). London, UK: Academic Press.</ref><ref name=":1">Statistics Canada (2021). ''Enterprise Information and Data Management Glossary'' [PDF]. Unpublished internal departmental document.  </ref><ref name=":10">Statistics Canada (2019). Statistics Canada Data Strategy: Delivering insight through data for a better Canada https://www.statcan.gc.ca/en/about/datastrategy</ref>

=== Data management ===

=== Data management ===

:A discipline that directs and supports effective and efficient management of information and data in an organization or public administration, from planning and systems development to disposal or long-term preservation. Data management involves the development, execution, and supervision of plans, policies, practices, concepts, programs, and the accompanying range of systems that contribute to the organizational or governmental mandates and to public good, as well as the maintenance of data processes to meet ongoing information lifecycle needs. It enables the delivery, control, protection, and enhancement of the value of data and information assets through integrated, user-based approaches. Key components of data lifecycle management include a searchable data inventory, reference and master data management, and a quality assessment framework.<ref name=":6" /><ref name=":10" /><ref name=":4" /><ref name=":3">Data Management Association (DAMA) (2017). DAMA-DMBOK: Data Management Body of Knowledge (2^nd Ed.). Basking Ridge, NJ: Technics Publications.</ref><ref>Statistics Canada (2020). ''Data Literacy Competencies''. Statistics Canada. https://www.statcan.gc.ca/en/wtc/data-literacy/compentencies </ref>

:A discipline that directs and supports effective and efficient management of information and data in an organization or public administration, from planning and systems development to disposal or long-term preservation. Data management involves the development, execution, and supervision of plans, policies, practices, concepts, programs, and the accompanying range of systems that contribute to the organizational or governmental mandates and to public good, as well as the maintenance of data processes to meet ongoing information lifecycle needs. It enables the delivery, control, protection, and enhancement of the value of data and information assets through integrated, user-based approaches. Key components of data lifecycle management include a searchable data inventory, reference and master data management, and a quality assessment framework.<ref name=":6" /><ref name=":10" /><ref name=":4">Statistics Canada (2021). ''Statistics Canada’s Aspects of Data Stewardship'' [PDF]. Unpublished internal departmental document. </ref><ref name=":3">Data Management Association (DAMA) (2017). DAMA-DMBOK: Data Management Body of Knowledge (2^nd Ed.). Basking Ridge, NJ: Technics Publications.</ref><ref>Statistics Canada (2020). ''Data Literacy Competencies''. Statistics Canada. https://www.statcan.gc.ca/en/wtc/data-literacy/compentencies </ref>

=== Data portability ===

=== Data portability ===