<?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/">Interpreting data products</topic></authority><related type="narrower"><topic>Interpreting data analyses</topic></related><related type="narrower"><topic>Interpreting data verbalisation</topic></related><related type="narrower"><topic>Interpreting data visualisation</topic></related><related type="other"><topic>Data communication</topic></related><related type="other"><topic>Basic data analysis (Ridsdale)</topic></related><related type="other"><topic>Data interpretation (understanding data)</topic></related><related type="broader"><topic>Future Skills</topic></related> <note xml:lang="en-GB"><![CDATA[ <p>"This includes the interpretation of the data products. In the first stage, data products (statistics, model results) are first interpreted in a previously verbalised form and the explicitly or implicitly provided interpretation is critically reviewed. In the second stage, graphics are then analysed, and conclusions are drawn about essential elements and relationships. Here, too, the delivered interpretation is critically examined. In the third stage, statistical parameters and models are interpreted in such a way that conclusions can be drawn about underlying data points and relationships and forecasts can be made."</p>
<p>Schüller, K. (2020).<em> Future Skills: A Framework for Data Literacy. Competence Framework and Research Report.</em> Hochschulforum Digitalisierung, p. 35.<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 interpretation of the data products. In the first stage, data products (statistics, model results) are first interpreted in a previously verbalised form and the explicitly or implicitly provided interpretation is critically reviewed. In the second stage, graphics are then analysed, and conclusions are drawn about essential elements and relationships. Here, too, the delivered interpretation is critically examined. In the third stage, statistical parameters and models are interpreted in such a way that conclusions can be drawn about underlying data points and relationships and forecasts can be made."</p>
<p>Schüller, K. (2020).<em> Future Skills: A Framework for Data Literacy. Competence Framework and Research Report.</em> Hochschulforum Digitalisierung, p. 35.<br />Online: <a href="http://doi.org/10.5281/zenodo.3946067">http://doi.org/10.5281/zenodo.3946067</a></p> ]]></note></mads>