[NEDBIB-L] Data Papers implement FAIR-data Principles

Data Papers implement FAIR-data Principles

1^st Results from GreyNet’s Data Papers Project 2017

	RGL/2017-RGL01-005	Giannini S., Molino A. Data from “Grey Literature citations in the age of Digital Repositories and Open Access”.
	RGL/2017-RGL01-004	Aloia D., Naughton R. Data from “The GreyLit Report: Understanding the Challenges of Finding Grey Literature”.
	RGL/2017-RGL01-003	Vaska M., Vaska R. Data from “Looking for Information that is not Easy to Find: An Inventory of LibGuides in Canadian Post-Secondary Institutions Devoted to Grey Literature”.
	RGL/2017-RGL01-002	Prost H., Schöpfel J. Data from “Grey communities: An empirical study on databases and repositories”.
	RGL/2017-RGL01-001	Farace D., Frantzen J., Smith P. Data from “Linking full-text grey literature to underlying research and post-publication data: An Enhanced Publications Project 2011-2012”.

 

 

 

 

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