<?xml version="1.0" encoding="utf-8"?><metadata xmlns:dc="http://purl.org/dc/elements/1.1/"  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/"><dc:title xml:lang="en-GB">Ridsdale Matrix</dc:title><dc:identifier>http://www2.bui.haw-hamburg.de/tematres/vocab/xml.php?skosTema=1939</dc:identifier><dc:language>en-GB</dc:language><dc:publisher xml:lang="en-GB">Kristin Ameis, Christine Gläser, Hanna Käfer, Ulrike Spree</dc:publisher><dcterms:created>2021-11-29 08:42:43</dcterms:created><dcterms:isPartOf xsi:type="dcterms:URI">https://www2.bui.haw-hamburg.de:443/tematres/vocab/</dcterms:isPartOf><dcterms:isPartOf xml:lang="en-GB">DaLiCo Glossary</dcterms:isPartOf><dc:format>text/html</dc:format> <dcterms:alternative xml:lang="en-GB">data literacy competencies matrix</dcterms:alternative> <dc:description xml:lang="en-GB"><![CDATA[ <p>Compilation of a set of skills and abilities that together comprise various levels of data literacy which are presented in a data literacy competencies matrix, organized by the five core aspects of a suggested data literacy definition (data, collection, management, evaluation, application). In the following years matrix developed into a kind of foundation for the ongoing conversations about<br />standards for assessing and evaluating levels of data literacy. The matrix very much informed the the creation of learning outcomes in data literacy education.</p>
<p>Source: Chantel Ridsdale, Rothwell, J., Smit, M., Ali-Hassan, H., Bliemel, M., Irvine, D., Kelley, D., Matwin, S., &amp; Wuetherick, B. (2015). Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report [Report]. <a href="https://doi.org/10.13140/RG.2.1.1922.5044">https://doi.org/10.13140/RG.2.1.1922.5044</a></p>
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</div> ]]></dc:description> <dc:description xml:lang="en-GB"><![CDATA[ <p>Compilation of a set of skills and abilities that together comprise various levels of data literacy which are presented in a data literacy competencies matrix, organized by the five core aspects of a suggested data literacy definition (data, collection, management, evaluation, application). In the following years matrix developed into a kind of foundation for the ongoing conversations about<br />standards for assessing and evaluating levels of data literacy. The matrix very much informed the the creation of learning outcomes in data literacy education.</p>
<p>Source: Chantel Ridsdale, Rothwell, J., Smit, M., Ali-Hassan, H., Bliemel, M., Irvine, D., Kelley, D., Matwin, S., &amp; Wuetherick, B. (2015). Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report [Report]. <a href="https://doi.org/10.13140/RG.2.1.1922.5044">https://doi.org/10.13140/RG.2.1.1922.5044</a></p>
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