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=== Data standards ===
 
=== Data standards ===
:Data standards are the rules and specifications by which data are described, defined and recorded. In order to share, exchange, and understand data, standardized formats and meanings are needed. Examples of data standards include data models, reference data, identifier schemas, and statistical standards. The use of data standards enables the integration of data over time and across different data sources, as well as reduces the resource requirements associated with many aspects of survey development and maintenance. <ref name=":2" /><ref name=":1" /><ref>International Organization for Standardization. (2016) Data quality — Part 61: Data quality management: Process reference model (ISO standard no. 8000-61:2016) https://www.iso.org/obp/ui/#iso:std:iso:8000:-61:ed-1:v1:en
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:Data standards are the rules and specifications by which data are described, defined and recorded. In order to share, exchange, and understand data, standardized formats and meanings are needed. Examples of data standards include data models, reference data, identifier schemas, and statistical standards. The use of data standards enables the integration of data over time and across different data sources, as well as reduces the resource requirements associated with many aspects of survey development and maintenance. <ref name=":2" /><ref name=":1" /><ref>International Organization for Standardization. (2016). Data quality — Part 61: Data quality management: Process reference model (ISO standard no. 8000-61:2016) https://www.iso.org/obp/ui/#iso:std:iso:8000:-61:ed-1:v1:en
</ref><ref>Standards Council of Canada. (2020). ''What Are Standards?'' Standards Council of Canada. https://www.scc.ca/en/standards/what-are-standards </ref>
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</ref><ref>Standards Council of Canada. (2020). ''What are standards?'' Standards Council of Canada. https://www.scc.ca/en/standards/what-are-standards </ref>
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=== Data steward ===
 
=== Data steward ===
 
:The role(s) accountable for the management of data assets and resources from a strategic perspective. Data stewards are responsible for ensuring that the data acquisition, entry, quality, interoperability, and overall management supports organization's needs, while also ensuring adherence to social license, legislative, and regulatory requirements. They work with stakeholders and other deliberative or advisory bodies to develop definitions, standards and data controls, and perform key functions in the ideation and implementation of data policies that are scalable, sustainable, and significant. <ref name=":2" /><ref name=":1" /><ref name=":7">Organisation for Economic Co-operation and Development (2018). Governing open data for sustainable results, in Open Government Data Report: Enhancing Policy Maturity for Sustainable Impact, OECD Publishing, Paris. https://read.oecd-ilibrary.org/governance/open-government-data-report/governing-open-data-for-sustainable-results_9789264305847-4-en#page1 </ref>
 
:The role(s) accountable for the management of data assets and resources from a strategic perspective. Data stewards are responsible for ensuring that the data acquisition, entry, quality, interoperability, and overall management supports organization's needs, while also ensuring adherence to social license, legislative, and regulatory requirements. They work with stakeholders and other deliberative or advisory bodies to develop definitions, standards and data controls, and perform key functions in the ideation and implementation of data policies that are scalable, sustainable, and significant. <ref name=":2" /><ref name=":1" /><ref name=":7">Organisation for Economic Co-operation and Development (2018). Governing open data for sustainable results, in Open Government Data Report: Enhancing Policy Maturity for Sustainable Impact, OECD Publishing, Paris. https://read.oecd-ilibrary.org/governance/open-government-data-report/governing-open-data-for-sustainable-results_9789264305847-4-en#page1 </ref>

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