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<p class="MsoNormal"><span style="mso-fareast-language:EN-US">Hi Eric<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">It’s a bit of an urban myth I think see
<a href="https://blog.ldodds.com/2020/01/31/do-data-scientists-spend-80-of-their-time-cleaning-data-turns-out-no/">
https://blog.ldodds.com/2020/01/31/do-data-scientists-spend-80-of-their-time-cleaning-data-turns-out-no/</a>, but it aligns with the Pareto Principle, so we are all willing to go with it!<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">I suppose it is not that important whether it is 80% or 60%, it’s still a massive problem and the takeaway is that it highlights where the source of most effort is being expended, and strongly suggests
that it arises from poor data quality and lack of metadata to manage that.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">Jon Johnson <o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">CLOSER, UCL Institute of Social Research<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US">@spuddybike<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">From: </span></b><span style="font-size:12.0pt;color:black">CODATA-international <codata-international-bounces@lists.codata.org> on behalf of Ernie Boyko <boykern@yahoo.com><br>
<b>Reply to: </b>Ernie Boyko <boykern@yahoo.com><br>
<b>Date: </b>Friday, 11 December 2020 at 07:24<br>
<b>To: </b>CODATA International <codata-international@lists.codata.org><br>
<b>Subject: </b>[CODATA-international] Cost of Data Wrangling<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Hi all<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">A study conducted for the EU? is often quoted as being the source of a statement along the lines of<o:p></o:p></span></p>
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<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level2 lfo1"><b><span lang="EN-US" style="font-size:14.0pt;color:#404040">80% of effort in data intensive research is used on data wrangling; conservative estimate of 10.2 Bn Euro. </span></b><span style="font-size:14.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></li></ul>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black"> Can anyone on this list point me to this study?</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Many thanks in advance. I am trying to make the case for the benefits of developing a career stream for data wranglers/data stewards.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:#4C76A2;background:white">Cheers, Ernie</span><span style="font-size:13.5pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:black">+1-613-290-2804</span><span style="font-size:13.5pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><span style="font-size:13.5pt;font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:12.0pt;font-family:Helvetica;color:black"> </span></b><b><span style="font-size:13.5pt;font-family:"Garamond",serif;color:black"> “Data is the new oil.” — Clive Humby</span></b><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
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<span style="font-family:"Garamond",serif;color:black;border:none windowtext 1.0pt;padding:0cm">“Data really powers everything that we do.” – Jeff Weiner<o:p></o:p></span></h4>
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