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SUMMARY:Open Science  – ETH Domain Open Research Data (ORD) program – 
 Contribute Call 5
DTSTART;VALUE=DATE:20230727
DTSTAMP:20260510T221435Z
UID:5b36f784ce3d79cd7120d6b44084366f3284e72dd3562ec96868ef79
CATEGORIES:Call for proposal
DESCRIPTION:The ETH Domain Open Research Data (ORD) Program consists of 5 
 measures to foster and improve ORD practices with the broader aim of advan
 cing Open Science among ETH Domain researchers and institutions. The overa
 ll aim of the first measure of the ETH-Domain’s ORD Program is to suppor
 t researchers engaging in or developing ORD practices with and for their c
 ommunity(-ies) and to assist these researchers in becoming Open Science le
 aders in their field(s). The calls for proposals are organised along three
  different tracks: Contribute\, Explore and Establish projects.\n\nThe ETH
  Domain is now launching the 5th Contribute call for applications.\n\nCont
 ribute projects \nFunding for “contribute projects” aims at:\n\n	Contr
 ibuting a piece of software\, data\, hardware\, etc.\, which simplifies an
  established ORD practice\, develops its research potential\, or otherwise
  improves it.\n\n\n\n	Curating or otherwise improving available ORD\, for 
 example\, by updating existing data to adapt it to the evolution of ORD pr
 actices or by linking different ORD datasets or by collecting and curating
  existing data before uploading it to an ORD platform.\n\n\n\n	Providing c
 ommunity services\, such as the organization of a workshop or training\, o
 r coordination for the development of an ORD standard.\n\nFunding is avail
 able for projects of up to 12 months with an overall budget that must be C
 HF 30’000.\n\nApplications can be received from the six ETH Domain insti
 tutions: EPFL\, ETHZ\, PSI\, WSL\, Empa\, Eawag.\n\nEligibility requiremen
 ts and budget information can be found on the ETH-Domain’s ORD Program w
 ebpage.\n\nHow to apply: online application platform.\n\nDeadline: 27 Jul
 y 2023 (17:00 CEST)\n\nMore details: please visit the ETH-Domain’s Open 
 Research Data (ORD) Program webpage (under measure 1) or contact the Resea
 rch Office (research@epfl.ch).
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STATUS:CONFIRMED
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