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DESCRIPTION:\n   IMPORTANT DATES for this Course\n			   Deadline for 
 applications: June 16th\, 2017\n			   Course date:  June 21st - 23rd 20
 17\n\n\nCourse description\n\nIn an age of increasingly complex and data-i
 ntensive\, collaborative scientific practices\, scandals of irreproducibil
 ity\, and a growing societal ethos of transparency and accountability\, a 
 new paradigm has arisen: Open Science. In this three day course\, we will 
 introduce to you the three organizing principles and practices that underg
 ird this paradigm:\nOpen Access scholarly publishing\nOpen Source software
  development\nOpen Data integration and sharing\n			For this\, we will be 
 introducing a set of technologies and ways of using them. The reasonable e
 xpectation is that the participants will feel empowered and start using th
 em for the above purposes in a highly productive way. The use-cases that w
 e will be working on are going to be based on bioinformatics\, but the pri
 nciples are very broadly applicable to other fields. You do not need to ha
 ve any particular programming or otherwise computational experience beyond
  what is normally required from a scientist in graduate school and beyond\
 , i.e.\, you should not be afraid of interacting with a computer and editi
 ng simple text files.\n \n\n\nTarget Audience\n			Researchers and Student
 s in all sectors of Biomedicine.\n\nPre-course Reading\n			W S Noble. 2009
 . A Quick Guide to Organizing Computational Biology Projects. PLoS Comput 
 Biol 5(7): e1000424 https://doi.org/10.1371/journal.pcbi.1000424\n			E M H
 art et al. 2016. Ten Simple Rules for Digital Data Storage. PLoS Comput Bi
 ol 12(10): e1005097 https://doi.org/10.1371/journal.pcbi.1005097\n			P E B
 ourne et al. 2017. Ten simple rules to consider regarding preprint submiss
 ion 13(5): e1005473. https://doi.org/10.1371/journal.pcbi.1005473\n			 \n
LOCATION:Instituto Gulbenkian de Ciência
SUMMARY:RODS17 Reproducible\, Open Data Science
URL;VALUE=URI:http://gtpb.igc.gulbenkian.pt/bicourses/RODS17/
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