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DESCRIPTION:Course Description\n			 \n			In an age of increasingly complex
  and data-intensive\, collaborative scientific practices\, scandals of irr
 eproducibility\, and a growing societal ethos of transparency and accounta
 bility\, a new paradigm has arisen: Open Science. In this four day long co
 urse\, we will introduce to you the three organizing principles and practi
 ces that undergird this paradigm:\nOpen Access scholarly publishing\nOpen 
 Source software development\nOpen Data integration and sharing\n			For thi
 s\, we will be introducing a set of technologies and ways of using them. T
 he reasonable expectation is that the participants will feel empowered and
  start using them for the above purposes in a highly productive way. The u
 se-cases that we will be working on are going to be based on bioinformatic
 s\, but the principles are very broadly applicable to other fields. You do
  not need to have any particular programming or otherwise computational ex
 perience beyond what is normally required from a scientist in graduate sch
 ool and beyond\, i.e.\, you should not be afraid of interacting with a com
 puter and editing simple text files.\n			We will then steer the participan
 ts into good practices in data management and work on practical examples t
 aken from published papers and data\, showing how these practices influenc
 e replicability and reproducibility. At the end we will discuss publicatio
 n bias and its consequences in current research quality.\n			Program:\n			
 You can see the detailed program through the link below.\n			Detailed Pro
 gram \n			Registration: \n			Register until June 7th\, following the in
 structions in the link below. \n			Application Instructions \n			Contact
 : For any questions regarding this course\, please contact GTPB (contacs 
 below)
LOCATION:Instituto Gulbenkian de Ciencia
SUMMARY:DMOS18 Data Management and Open Science
URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/2018/DMOS18/
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