<?xml version="1.0" encoding="utf-8"?><mads xmlns="http://www.loc.gov/mads/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mads/
	mads.xsd"><authority><topic authority="http://www2.bui.haw-hamburg.de/tematres/vocab/">Ridsdale Matrix</topic></authority><related type="narrower"><topic>Conceptual Framework</topic></related><related type="narrower"><topic>Data collection</topic></related><related type="narrower"><topic>Data management</topic></related><related type="narrower"><topic>Data evaluation</topic></related><related type="narrower"><topic>Data application</topic></related><related type="broader"><topic>Data Literacy Frameworks</topic></related><variant type="other"><topic>data literacy competencies matrix</topic></variant> <note 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> ]]></note> <note 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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