<?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/">Data identification</topic></authority><related type="narrower"><topic>find</topic></related><related type="narrower"><topic>get</topic></related><related type="other"><topic>Providing data</topic></related><related type="other"><topic>Data collection</topic></related><related type="other"><topic>Preparing data</topic></related><related type="broader"><topic>DaLiCo Dimensions</topic></related> <note xml:lang="en-GB"><![CDATA[ <p>Competencies assigned to this dimension focus on the competency to discover and obtain relevant data in order to create value or make decisions from data. A data literate person <span lang="en-US">should be able to </span><span lang="en-US">find</span><span lang="en-US"> this data, understand what it describes, in which systems it is collected, and what type it is. In addition to its discovery, it is imperative to know how to access the data and to import it into applications that are able to explore the data. </span></p>
<p><span lang="en-US">Source: DaLiCo Team (2022). </span></p>
<p>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>
<p> </p> ]]></note> <note xml:lang="en-GB"><![CDATA[ <p>Competencies assigned to this dimension focus on the competency to discover and obtain relevant data in order to create value or make decisions from data. A data literate person <span lang="en-US">should be able to </span><span lang="en-US">find</span><span lang="en-US"> this data, understand what it describes, in which systems it is collected, and what type it is. In addition to its discovery, it is imperative to know how to access the data and to import it into applications that are able to explore the data. </span></p>
<p><span lang="en-US">Source: DaLiCo Team (2022). </span></p>
<p>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>
<p> </p> ]]></note></mads>