<?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 understanding</topic></authority><related type="narrower"><topic>analyse</topic></related><related type="narrower"><topic>clean</topic></related><related type="other"><topic>data mining</topic></related><related type="other"><topic>text mining</topic></related><related type="other"><topic>Evaluating data</topic></related><related type="other"><topic>Data evaluation</topic></related><related type="other"><topic>Data interpretation (understanding data)</topic></related><related type="other"><topic>data understanding</topic></related><related type="other"><topic>data analysis</topic></related><related type="broader"><topic>DaLiCo Dimensions</topic></related> <note xml:lang="en-GB"><![CDATA[ <p>competencies related to exploratory data analysis used to maximize insights from data. The main processes of data understanding are assessing the data quality and cleaning and repairing data. Data quality problems are present in single data collections due to misspellings during data entry, missing information or other invalid data. Cleaning the data has a symbiotic relation with analyzing the data as exploring the data has to be done first in order to determine actions for cleaning the data (e.g., which records or cases should be deleted or altered).</p>
<p><span lang="en-US">Source: DaLiCo Team (2022). </span></p> ]]></note> <note xml:lang="en-GB"><![CDATA[ <p>competencies related to exploratory data analysis used to maximize insights from data. The main processes of data understanding are assessing the data quality and cleaning and repairing data. Data quality problems are present in single data collections due to misspellings during data entry, missing information or other invalid data. Cleaning the data has a symbiotic relation with analyzing the data as exploring the data has to be done first in order to determine actions for cleaning the data (e.g., which records or cases should be deleted or altered).</p>
<p><span lang="en-US">Source: DaLiCo Team (2022). </span></p> ]]></note></mads>