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UID:8a93c5a9cf895fd9b08db60943644577
CATEGORIES:Polar Conferences, Meetings and Events
CREATED:20200430T133308
SUMMARY:Antarctic Biodiversity Data Laundry week
DESCRIPTION:<div class=""><div class=""><div class="">Working on cleaning up an Antarct
 ic biodiversity dataset?</div><div>&nbsp;</div><div class="">The <a href="h
 ttp://www.biodiversity.aq/" target="_blank" rel="noopener">SCAR Antarctic B
 iodiversity Portal</a> and the <a href="https://scar.org/science/egabi/">SC
 AR Expert Group on Antarctic Biodiversity Informatics</a> (EG-ABI)<strong>&
 nbsp;</strong>are happy to support you. <span class=""><span class="">Getti
 ng your biological data clean and ready for analysis is important. It can s
 eem like something very complicated, but it doesn’t need to be. Often simpl
 e tips and tricks can get you a long way. </span>Having your data in a clea
 n and shareable format allows you to collaborate more efficiently with othe
 rs and get better and more valuable results.</span><span class=""><br class
 ="" /><br class="" /><span class="">With our data laundry week we are there
  to help you clean your research data in a format that allows you to make i
 t easily discoverable on the SCAR Antarctic Biodiversity Portal (as well as
  the Ocean Biogeographic Information System (<a href="https://obis.org/" ta
 rget="_blank" rel="noopener">OBIS</a>) and the Global Biodiversity Informat
 ion Facility (<a href="https://www.gbif.org/" target="_blank" rel="noopener
 ">GBIF</a>)).</span><br class="" /><br class="" /><span class="">From 4th t
 o 8th May 2020 we will dedicate our time to cleaning out datasets that we’v
 e received for publication on the Antarctic Biodiversity Portal and we want
  to give you the opportunity to join in as well to help you clean your data
 .</span><br class="" /><br class="" /></span></div></div></div><div class="
 "><div class=""><div class=""><span class=""><strong><span class="">How doe
 s it work?</span></strong><br class="" /><span class="">5 easy steps</span>
 <br class="" /><br class="" /><span class="">1.&nbsp;&nbsp;&nbsp;&nbsp; Joi
 n our <a href="https://join.slack.com/t/scar-data-laundry/shared_invite/zt-
 e7b42oi8-N0nP8k4TxTfl36r873R0~g">Slack Channel</a>.</span></span><span clas
 s=""><br class="" /><br class="" /><span class="">2.&nbsp;&nbsp;&nbsp;&nbsp
 ; Introduce yourself on slack in the #welcome channel</span><br class="" />
 <br class="" /><span class="">3.&nbsp;&nbsp;&nbsp;&nbsp; Explain your quest
 ion, issues in the #data-laundry channel</span><br class="" /><br class="" 
 /><span class="">4.&nbsp;&nbsp;&nbsp;&nbsp; Send us part of your dataset so
  we can have a look at it (details will be provided in the slack channel)</
 span><br class="" /><br class="" /><span class="">5.&nbsp;&nbsp;&nbsp;&nbsp
 ; We can all chat online via Slack, and you can also join one of our live d
 iscussion sessions in our virtual office 4-8 May 2020 (details will be prov
 ided in the slack channel)</span></span></div><div>&nbsp;</div><div>Contact
  the organizers <span id="cloak0cfcf56851cee56d3a91a15f6c74d452"><span id="
 cloak3b8129513df3ae5a4a236d3aeb4f04cc">This email address is being protecte
 d from spambots. You need JavaScript enabled to view it.</span><script type
 ='text/javascript'>
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DTSTAMP:20260424T145913Z
DTSTART;TZID=UTC:20200504T080000
DTEND;TZID=UTC:20200508T170000
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