<?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/">Evaluating data</topic></authority><related type="narrower"><topic>Basic data analysis</topic></related><related type="narrower"><topic>Data interptretation (understanding data)</topic></related><related type="narrower"><topic>Verbalising data</topic></related><related type="narrower"><topic>Visualising data</topic></related><related type="other"><topic>Data evaluation</topic></related><related type="other"><topic>Data understanding</topic></related><related type="other"><topic>Data communication</topic></related><related type="other"><topic>educational assessment</topic></related><related type="broader"><topic>Future Skills</topic></related> <note xml:lang="en-GB"><![CDATA[ <p>"This includes the evaluation of the data. The first step is the analysis of the data. Here, the analysis methods from various fields (statistics, analytics, machine learning) are applied in a factual and purpose-oriented manner with the help of suitable tools. In the second stage the data is analysed. Static and dynamic visualisations are used here together with suitable tools. The third stage comprises the verbalisation of data. Data analyses are presented in various text forms and made available for communication."</p>
<p>Schüller, K. (2020).<em> Future Skills: A Framework for Data Literacy. Competence Framework and Research Report.</em> Hochschulforum Digitalisierung, p. 32.<br />Online: <a href="http://doi.org/10.5281/zenodo.3946067">http://doi.org/10.5281/zenodo.3946067</a></p> ]]></note> <note xml:lang="en-GB"><![CDATA[ <p>"This includes the evaluation of the data. The first step is the analysis of the data. Here, the analysis methods from various fields (statistics, analytics, machine learning) are applied in a factual and purpose-oriented manner with the help of suitable tools. In the second stage the data is analysed. Static and dynamic visualisations are used here together with suitable tools. The third stage comprises the verbalisation of data. Data analyses are presented in various text forms and made available for communication."</p>
<p>Schüller, K. (2020).<em> Future Skills: A Framework for Data Literacy. Competence Framework and Research Report.</em> Hochschulforum Digitalisierung, p. 32.<br />Online: <a href="http://doi.org/10.5281/zenodo.3946067">http://doi.org/10.5281/zenodo.3946067</a></p> ]]></note></mads>