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DTSTART:20251102T020000
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DESCRIPTION:CQMI presents: Webinar Watching Party: Meeting Federal Data Sha
 ring Requirements Now and into the FuturePresenter: Linda Detterman\, ICPS
 RAgencies such as the National Science Foundation (NSF) and the National I
 nstitutes of Health (NIH) require data management plans to be included in 
 research proposals. And the Office of Science and Technology Policy (OSTP)
  is requiring federal agencies to develop plans to increase public access 
 to results of federally funded scientific research. Join us for a session 
 on sustainable data sharing models\, including models for sharing restrict
 ed-use data. Overviews of these models and tips for locating public data a
 ccess services will be provided\, as well as resources for creating data m
 anagement plans for grant applications. Learning Objectives: 1.Keen unders
 tanding of several sustainable data management/sharing models applications
 2.Ability to critique data sharing products/services3.Knowledge of resourc
 es for creating data management plans for grant applications&nbsp\;Lunch i
 s provided.RSVP by 10 AM Wednesday to Megan Stadler\, mastadle@syr.eduSpon
 sored by the Center for Qualitative and Multi-method Inquiry at the Moynih
 an Institute of Global Affairs
DTEND:20141008T170000Z
DTSTAMP:20260513T033736Z
DTSTART:20141008T160000Z
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SEQUENCE:0
SUMMARY:CQMI presents: Webinar Watching Party: Meeting Federal Data Sharing
  Requirements Now and into the Future
UID:RFCALITEM639142258568607386
X-ALT-DESC;FMTTYPE=text/html:<p></p><p></p><p><b>CQMI presents: Webinar Wat
 ching Party: Meeting Federal Data Sharing Requirements Now and into the Fu
 ture</b></p><p>Presenter:<i><b> Linda Detterman</b></i>\, ICPSR</p><p>Agen
 cies such as the National Science Foundation (NSF) and the National Instit
 utes of Health (NIH) require data management plans to be included in resea
 rch proposals. And the Office of Science and Technology Policy (OSTP) is r
 equiring federal agencies to develop plans to increase public access to re
 sults of federally funded scientific research. Join us for a session on su
 stainable data sharing models\, including models for sharing restricted-us
 e data. Overviews of these models and tips for locating public data access
  services will be provided\, as well as resources for creating data manage
 ment plans for grant applications.</p><p> Learning Objectives: </p><p>1.Ke
 en understanding of several sustainable data management/sharing models app
 lications</p><p>2.Ability to critique data sharing products/services</p><p
 >3.Knowledge of resources for creating data management plans for grant app
 lications&nbsp\;</p><p>Lunch is provided.</p><p>RSVP by 10 AM Wednesday to
  Megan Stadler\, mastadle@syr.edu</p><p><i><b>Sponsored by the Center for 
 Qualitative and Multi-method Inquiry at the Moynihan Institute of Global A
 ffairs</b></i></p><p><br></p><p><br></p><p></p><p></p>
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