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:The representation of information, in a manner suitable for storage, communication, interpretation, or processing by human beings or by automatic means, and from which knowledge can be drawn, including structured or unstructured forms. Often a set of values of subjects with respect to qualitative or quantitative variables representing facts, statistics, or items of information in a formalized manner.   
 
:The representation of information, in a manner suitable for storage, communication, interpretation, or processing by human beings or by automatic means, and from which knowledge can be drawn, including structured or unstructured forms. Often a set of values of subjects with respect to qualitative or quantitative variables representing facts, statistics, or items of information in a formalized manner.   
 
:* Statistical data refers to data used to produce official statistics (often from a census, survey statistical register or administrative source) by government agencies or other entities working on behalf of the government.
 
:* Statistical data refers to data used to produce official statistics (often from a census, survey statistical register or administrative source) by government agencies or other entities working on behalf of the government.
:* Administrative data refers to data and information collected by organizations, government agencies or other public entities as a part of their ongoing operations. Examples include records of births and deaths, data collected by satellites, or records about the flow of goods and people across borders.<ref name=":2">Organization for Economic Co-operation and Development (2008). ''OECD Glossary of Statistical Terms'', OECD Publishing, Paris. https://doi.org/10.1787/9789264055087-en.</ref><ref>Organisation for Economic Co-operation and Development (2021). Recommendation of the Council on Enhancing Access to and Sharing of Data. OECD Legal Instruments.  https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0463  </ref><ref>Statistics Canada (2016). Statistics Canada Policy on the Use of Administrative Data Obtained under the Statistics Act. Ottawa, ON: Her Majesty the Queen in Right of Canada. https://www.statcan.gc.ca/en/about/policy/admin_data </ref><ref>Statistics Canada (2023). Administrative Data. Statistics Canada. https://www.statcan.gc.ca/en/our-data/where/administrative-data  </ref><ref name=":6">Government of Canada, Treasury Board Secretariat (2019). ''Policy on Service and Digital''. Ottawa, ON: Her Majesty the Queen in Right of Canada. https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32603</ref><ref>United Nations, Economic Commission of Europe (2000). Terminology on Statistical Metadata In Conference of European Statisticians Statistical Standards and Studies (53). Geneva, Switzerland: United Nations.</ref><ref name=":8">United Nations Departments of Economic and Social Affairs (2019). ''United Nations National Quality Assurance Frameworks Manual for Official Statistics'' [PDF]. https://unstats.un.org/unsd/methodology/dataquality/references/1902216-UNNQAFManual-WEB.pdf</ref>
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:* Administrative data refers to data and information collected by organizations, government agencies or other public entities as a part of their ongoing operations. Examples include records of births and deaths, data collected by satellites, or records about the flow of goods and people across borders.<ref name=":2">Organization for Economic Co-operation and Development (2008). ''OECD Glossary of Statistical Terms'', OECD Publishing, Paris. https://doi.org/10.1787/9789264055087-en.</ref><ref>Organisation for Economic Co-operation and Development (2021). Recommendation of the Council on Enhancing Access to and Sharing of Data. OECD Legal Instruments.  https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0463  </ref><ref>Statistics Canada (2016). Statistics Canada Policy on the Use of Administrative Data Obtained under the Statistics Act. Ottawa, ON: Her Majesty the Queen in Right of Canada. https://www.statcan.gc.ca/en/about/policy/admin_data </ref><ref>Statistics Canada (2023). Administrative Data. Statistics Canada. https://www.statcan.gc.ca/en/our-data/where/administrative-data  </ref><ref name=":6">Government of Canada, Treasury Board Secretariat (2019). ''Policy on Service and Digital''. Ottawa, ON: Her Majesty the Queen in Right of Canada. https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32603</ref><ref name=":0">Economic Commission for Europe of the United Nations (UNECE). (2000). Terminology on Statistical Metadata in ''Conference of European Statisticians Statistical Standards and Studies''. (53), Geneva. https://digitallibrary.un.org/record/442455</ref><ref name=":8">United Nations Departments of Economic and Social Affairs (2019). ''United Nations National Quality Assurance Frameworks Manual for Official Statistics'' [PDF]. https://unstats.un.org/unsd/methodology/dataquality/references/1902216-UNNQAFManual-WEB.pdf</ref>
    
=== Aggregated data ===
 
=== Aggregated data ===
:Unit level data that has been combined and summarized, often from multiple sources, into a collective form, often for the purposes of statistical analysis. Aggregate data allows for greater analysis and insight about particular groups based on specific variables, such as age or gender.<ref name=":9">National Collaborating Centre for Indigenous Health (2010). The Importance of Disaggregated Data. https://www.nccih.ca/docs/context/FS-ImportanceDisaggregatedData-EN.pdf </ref><ref>Strategic Data and Metadata eXchange (2020). SDMX Glossary Version 2.1. https://sdmx.org/wp-content/uploads/SDMX_Glossary_version_2_1-Final-2.docx  </ref>
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:Unit level data that has been combined and summarized, often from multiple sources, into a collective form, often for the purposes of statistical analysis. Aggregate data allows for greater analysis and insight about particular groups based on specific variables, such as age or gender.<ref name=":9">National Collaborating Centre for Indigenous Health (2010). The Importance of Disaggregated Data. https://www.nccih.ca/docs/context/FS-ImportanceDisaggregatedData-EN.pdf </ref><ref>Statistical Data and Metadata eXchange (2020). SDMX Glossary Version 2.1. https://sdmx.org/wp-content/uploads/SDMX_Glossary_version_2_1-Final-2.docx  </ref>
    
=== Disaggregated data ===
 
=== Disaggregated data ===
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: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<sup>nd</sup> 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 Approach to Data Stewardship'' [PDF]. Unpublished internal departmental document. </ref>
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: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<sup>nd</sup> 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<sup>nd</sup> 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>
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: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<sup>nd</sup> 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 ===
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=== Data security ===
 
=== Data security ===
:The definition, planning, development, and execution of security policies and procedures used to provide proper authentication, authorization, access, and auditing of data and information assets. Data security enables the protection of privacy, confidentiality, and integrity, as well as the maintenance of trust and social license to operate.<ref name=":2" /><ref name=":4" /><ref name=":3" /><ref>Economic Commission for Europe of the United Nations (UNECE). (2000). Terminology on Statistical Metadata in ''Conference of European Statisticians Statistical Standards and Studies''. (53), Geneva. https://digitallibrary.un.org/record/442455</ref>
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:The definition, planning, development, and execution of security policies and procedures used to provide proper authentication, authorization, access, and auditing of data and information assets. Data security enables the protection of privacy, confidentiality, and integrity, as well as the maintenance of trust and social license to operate.<ref name=":2" /><ref name=":0" /><ref name=":4" /><ref name=":3" />
    
=== Data standards ===
 
=== Data standards ===

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