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CATEGORIES:Polar Conferences, Meetings and Events
CREATED:20200430T133308
SUMMARY:Antarctic Biodiversity Data Laundry week
DESCRIPTION:Working on cleaning up an Antarctic biodiversity dataset? The SCAR Antarcti
 c Biodiversity Portal (http://www.biodiversity.aq/) and the SCAR Expert Gro
 up on Antarctic Biodiversity Informatics (https://scar.org/science/egabi/) 
 (EG-ABI) are happy to support you. Getting your biological data clean and r
 eady for analysis is important. It can seem like something very complicated
 , but it doesn’t need to be. Often simple tips and tricks can get you a lon
 g way. Having your data in a clean and shareable format allows you to colla
 borate more efficiently with others and get better and more valuable result
 s.With our data laundry week we are there to help you clean your research d
 ata in a format that allows you to make it easily discoverable on the SCAR 
 Antarctic Biodiversity Portal (as well as the Ocean Biogeographic Informati
 on System (OBIS (https://obis.org/)) and the Global Biodiversity Informatio
 n Facility (GBIF (https://www.gbif.org/))).From 4th to 8th May 2020 we will
  dedicate our time to cleaning out datasets that we’ve received for publica
 tion on the Antarctic Biodiversity Portal and we want to give you the oppor
 tunity to join in as well to help you clean your data.How does it work?5 ea
 sy steps1.     Join our Slack Channel (https://join.slack.com/t/scar-data-l
 aundry/shared_invite/zt-e7b42oi8-N0nP8k4TxTfl36r873R0~g).2.     Introduce y
 ourself on slack in the #welcome channel3.     Explain your question, issue
 s in the #data-laundry channel4.     Send us part of your dataset so we can
  have a look at it (details will be provided in the slack channel)5.     We
  can all chat online via Slack, and you can also join one of our live discu
 ssion sessions in our virtual office 4-8 May 2020 (details will be provided
  in the slack channel) Contact the organizers This email address is being p
 rotected from spambots. You need JavaScript enabled to view it.
				documen
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		 if you have further questions.
X-ALT-DESC;FMTTYPE=text/html:<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="
 cloake6e12a60ef191b2dece890406c0e2749">This email address is being protecte
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DTSTAMP:20260710T021850
DTSTART;TZID=UTC:20200504T080000
DTEND;TZID=UTC:20200508T170000
SEQUENCE:0
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