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UID:8a93c5a9cf895fd9b08db60943644577
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 <a href="https:
 //scar.org/science/egabi/">SCAR Expert Group on Antarctic Biodiversity Info
 rmatics</a> (EG-ABI) are happy to support you. Getting your biological data
  clean and ready for analysis is important. It can seem like something very
  complicated, but it doesn’t need to be. Often simple tips and tricks can g
 et you a long way. Having your data in a clean and shareable format allows 
 you to collaborate more efficiently with others and get better and more val
 uable results.With our data laundry week we are there to help you clean you
 r research data in a format that allows you to make it easily discoverable 
 on the SCAR Antarctic Biodiversity Portal (as well as the Ocean Biogeograph
 ic Information System (OBIS (https://obis.org/)) and the Global Biodiversit
 y Information Facility (<a href="https://www.gbif.org/" target="_blank" rel
 ="noopener">GBIF</a>)).From 4th to 8th May 2020 we will dedicate our time t
 o cleaning out datasets that we’ve received for publication on the Antarcti
 c Biodiversity Portal and we want to give you the opportunity to join in as
  well to help you clean your data.How does it work?5 easy steps1.     Join 
 our Slack Channel (https://join.slack.com/t/scar-data-laundry/shared_invite
 /zt-e7b42oi8-N0nP8k4TxTfl36r873R0~g).2.     Introduce yourself on slack in 
 the #welcome channel3.     Explain your question, issues in the #data-laund
 ry 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 discussion sessions in ou
 r virtual office 4-8 May 2020 (details will be provided in the slack channe
 l) Contact the organizers This email address is being protected from spambo
 ts. You need JavaScript enabled to view it.
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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="
 cloak8ffa9bcf9462df9756fabcd8a65070df">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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 	</script></span>&nbsp;if you have further questions.</div></div></div>
DTSTAMP:20260426T005055Z
DTSTART;TZID=UTC:20200504T080000
DTEND;TZID=UTC:20200508T170000
SEQUENCE:0
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