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UID:8b4282bc5ca1ac1ea88c7743b65490c3
CATEGORIES:Polar Conferences, Meetings and Events
CREATED:20180319T092757
SUMMARY:2018 Data Science Training for Arctic Research
LOCATION:Santa Barbara\, California\, USA
DESCRIPTION:The Arctic Data Center invites applications for their 2018 Data Science Tra
 ining for Arctic Research. This workshop will convene 13-17 August 2018 in 
 Santa Barbara, California.\nThis five-day workshop will provide Arctic rese
 archers with an overview of best practices in data management, training in 
 data science tools, and concrete steps and methods for documenting and uplo
 ading data and metadata to the National Science Foundation's (NSF) Arctic D
 ata Center.\nWorkshop topics will include:\n\n - Arctic Data Center and NSF
  Standards and Policies;\n - Data management plans;\n - Effective data mana
 gement for data preservation, including storing and preparing data in open 
 source formats, stability, longevity, interoperability, and metadata;\n - P
 ublishing data at the Arctic Data Center, including web-based submission an
 d automating submission for large data sets;\n - Data and metadata quality;
  and\n - Provenance for data and software.Space for this workshop is limite
 d. Early career and established researchers from the Arctic research commun
 ity are encouraged to apply.\nApplicants must complete the online applicati
 on form. The application form requests basic demographics in addition to a 
 two-page curriculum vitae and information about research background and dat
 a science training and skills. Preference will be given to applicants who p
 erform NSF-funded Arctic research.\nApplication deadline: 5:00 p.m. Pacific
  Daylight Time, 30 March 2018\nTo apply, go to:\n\nFor more information, go
  to:\n<a href="https://www.arcus.org/sites/all/modules/civicrm/extern/url.p
 hp?u=8106&amp;qid=1088917" target="_blank" rel="noopener">Workshop homepage
 </a>\n
X-ALT-DESC;FMTTYPE=text/html:<p>The Arctic Data Center invites applications for their 2018 Data Science 
 Training for Arctic Research. This workshop will convene 13-17 August 2018 
 in Santa Barbara, California.</p><p>This five-day workshop will provide Arc
 tic researchers with an overview of best practices in data management, trai
 ning in data science tools, and concrete steps and methods for documenting 
 and uploading data and metadata to the National Science Foundation's (NSF) 
 Arctic Data Center.</p><p><strong>Workshop topics will include:</strong></p
 ><ul><li>Arctic Data Center and NSF Standards and Policies;</li><li>Data ma
 nagement plans;</li><li>Effective data management for data preservation, in
 cluding storing and preparing data in open source formats, stability, longe
 vity, interoperability, and metadata;</li><li>Publishing data at the Arctic
  Data Center, including web-based submission and automating submission for 
 large data sets;</li><li>Data and metadata quality; and</li><li>Provenance 
 for data and software.</li></ul><p>Space for this workshop is limited. Earl
 y career and established researchers from the Arctic research community are
  encouraged to apply.</p><p>Applicants must complete the online application
  form. The application form requests basic demographics in addition to a tw
 o-page curriculum vitae and information about research background and data 
 science training and skills. Preference will be given to applicants who per
 form NSF-funded Arctic research.</p><p><strong>Application deadline: 5:00 p
 .m. Pacific Daylight Time, 30 March 2018</strong></p><p>To apply, go to:<br
  /><a href="https://www.arcus.org/sites/all/modules/civicrm/extern/url.php?
 u=8108&amp;qid=1088917" target="_blank" rel="noopener">Workshop application
  form</a></p><p>For more information, go to:<br /><a href="https://www.arcu
 s.org/sites/all/modules/civicrm/extern/url.php?u=8106&amp;qid=1088917" targ
 et="_blank" rel="noopener">Workshop homepage</a></p>
CONTACT:Vanessa Raymond: This email address is being protected from spambots. You need JavaScript enabled to view it.
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DTSTAMP:20260424T023204Z
DTSTART;TZID=UTC;VALUE=DATE:20180813
DTEND;TZID=UTC;VALUE=DATE:20180814
SEQUENCE:0
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