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SUMMARY:Open Science  – ETH Domain Open Research Data (ORD) program – 
 Contribute Call 3
DTSTART;VALUE=DATE:20221212
DTSTAMP:20260408T071357Z
UID:338b706ad4971d204ab01f67dc1518f32ee7d511771ae19c01205666
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 3rd 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: 12 Dece
 mber 2022 (17:00 CET)\n\nMore details: please visit the ETH-Domain’s Ope
 n Research Data (ORD) Program webpage (under measure 1) or contact the Res
 earch Office (research@epfl.ch).
LOCATION:
STATUS:CONFIRMED
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