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Susanna-Assunta	Sansone,	PhD	
	
	
Associate	Director,	PI	-	Oxford	e-Research	Centre,	University	of	Oxford,	UK	
Data	Consultant	-	Nature	Publishing	Group’s	Scien4fic	Data
193		
	85		
346		
miame!
MIAPA!
MIRIAM!
MIQAS!
MIX!
MIGEN!
ARRIVE!
MIAPE!
MIASE!
MIQE!
MISFISHIE….!
REMARK!
CONSORT!
MAGE-Tab!
GCDML!
SRAxml!
SOFT!
FASTA!
DICOM!
MzML!
SBRML!
SEDML…!
GELML!
ISA-Tab!
CML!
MITAB!
AAO!
CHEBI!
OBI!
PATO! ENVO!
MOD!
BTO!
IDO…!
TEDDY!
PRO!
XAO!
DO	
VO!
In the life sciences there are >600 content standards
Databases	and	tools		
implemenEng		
Standards;	also	training	material	
on	and	around	standards
de jure de facto
grass-roots
groups
standard
organizations
Nanotechnology	Working	Group	
•  To	 structure,	 enrich	 and	 report	 the	 descripEon	 of	 the	 datasets	 and	 the	
experimental	context	under	which	they	were	produced	
Community-developed content standards
Is	there	a	database,	implemen5ng	
standards,	where	to	deposit	my	
metagenomics	dataset?	
My	funder’s	data	sharing	policy	
recommends	the	use	of	
established	standards,	but	which	
ones	are	widely	endorsed	and	
applicable	to	my	toxicological	and	
clinical	data?	
Am	I	using	the	most	up-to-date	
version	of	this	terminology	to	
annotate	cell-based	assays?		
I	understand	this	format	has	been	
deprecated;	what	has	been	replaced	by	
and	how	is	leading	the	work?	
Are	there	databases	implemenEng	this	
exchange	format,	whose	development	
we	have	funded?		
What	are	the	mature	
standards	and	standards-
compliant	databases	we	
should	recommend	to	
our	authors?	
But how do we help users to make informed decisions?
Planned	output	are	
	
•  principles	for	linking	informaEon	about	databases,	content	standards	
and	journal	/	funder	policies	in	the	life	sciences	
	
•  and	a	curated	registry	to	access	and	cross-search	the	informaEon,	on	
which	a	variety	of	stakeholders	can	base	their	decisions
Mapping the landscape of ‘standards’ in the life sciences
1,379	records	and	growing
Mapping the landscape of ‘standards’ in the life sciences
A	web-based,	curated	and	searchable	registry	ensuring	that	standards	and	
databases	are	registered,	informa4ve	and	discoverable;	monitoring	
development	and	evolu5on	of	standards,	their	use	in	databases	and	adopEon	
of	both	in	data	policies	
1,379	records	and	growing
The International Conference on Systems Biology (ICSB), 22-28 August, 2008 Susanna-Assunta
Sansone www.ebi.ac.uk/net-project
Tracking evolution, e.g. deprecations and substitutions
Cross-linking standards to standards and databases
Model/format	formalizing	reporEng	guideline	-->		
<--	ReporEng	guideline	used	by	model/format	
We link (descriptions of) standards to
related standards and databases,
implementing them
Conducted	a	10	quesEons	survey	to	assess	users	needs:	532	replies	will	inform	
the	acEviEes	of	the	BioSharing	WG	and	further	development	of	the	registry	
Activities in collaboration with and
The	replies	to	other	quesEons	tell	us	about	the	users’	
•  level	of	familiarity	with	standards	
•  type	of	standards	they	want	to	see	in	the	registry	
•  descriptors	about	standards	to	help	them	make	
decisions	
•  desired	funcEonality	of	the	registry	
•  preferred	indicator	of	maturity,	adopEon	and	use	of	
standards
From simple and advance search interfaces to….
Powered	by	curated	descripEons	of	each	standard	
and	database	records,	and	their	relaEons;	
….the recommender system
To	inform	the	creaEon	of	templates	to	describe	datasets,	according	to	community	
standards,	but	rendering	the	standards	invisible	to	the	researchers	
Create standards-derived metadata elements
High-level	informa6on	about	the	standards,	
their	rela6ons	and	use	by	databases	
RDF	or	JSON	representa6ons		
of	the	standards-derived	elements	
	
Elements	and	their	
provenance	served	to
also	operaEng	as	a	WG	in		Run	at	 is	also	an	 contribuEon	to

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