FAIR Game

Reference : FAIR Game


	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Chemistry
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/54443

Title :	FAIR Game
Language :	English
Author, co-author :	Schymanski, Emma [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Publication date :	10-Feb-2023
Journal title :	Analytical Scientist
Publisher :	Texere Publishing Limited
	Texere Publishing
Peer reviewed :	No
Audience :	International
ISSN :	2051-4077
e-ISSN :	2051-4085
Keywords :	[en] Open Data ; FAIR ; analytical science
Abstract :	[en] Why Open and FAIR data sharing in analytical research is important for public data availability, raising awareness of your data, and the very future of analytical science – according to Emma Schymanski
Permalink :	http://hdl.handle.net/10993/54443
Other URL :	https://theanalyticalscientist.com/business-education/fair-game-fair-data
Mentions required by the publisher for OA :	All rights reserved

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	FAIR Game, FAIR Data.pdf		Publisher postprint	998.71 kB	Request a copy

All documents in ORBi^lu are protected by a user license.