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BioSharing.org – mapping	the	
landscape	of	standards	in	the	
life	sciences
Peter	McQuilton,	PhD	(@drosophilic)
BioSharing content	lead
On	behalf	of	the	BioSharing team	(@biosharing)
Outline
• Standards,	databases	and	policies	in	the	life	
sciences
• BioSharing – an	informative	and	educational	
resource
• What	it	is
• How	to	use	it
• How	it	can	help	you
A	growth	in	data,	a	growth	in	
databases
Number	 of	databases	in	the	NAR	database	issue,	 up	to	
2015	(from	@AlexBateman1)
Credit:	ttps://projects.ac/blog/five-top-reasons-to-protect-your-data-and-practise-safe-science/	 2014
Better	data	=	better	science
The	FAIR	Principles
But	in	all	fairness,	not	all	data	is	
FAIR!
A B C D E
1 Group1 Group2
2 Day 0
3 Sodium 139 142
4 Potassium 3.3 4.8
5 Chloride 100 108
6 BUN 18 18
7 Creatine 1.2 1.2
8 Uric acid 5.5* 6.2*
9 Day 7
10 Sodium 140 146
11 Potassium 3.4 5.1
12 Chloride 97 108
S1Sh.cuo
Credit	to:	Iain	Hrynaszkiewicz
Sharing	starts	with	good	metadata…
A B C D E
1 Group1 Group2
2 Day 0
3 Sodium 139 142
4 Potassium 3.3 4.8
5 Chloride 100 108
6 BUN 18 18
7 Creatine 1.2 1.2
8 Uric acid 5.5* 6.2*
9 Day 7
10 Sodium 140 146
11 Potassium 3.4 5.1
12 Chloride 97 108
S1Sh.cuo Meaningless	
column	titles
Special	characters	can	
cause	text	mining	
errors
No	units
Unhelpful	
document	name
Undefined	
abbreviation
Formatting	for	
information	that	
should	be	in	
metadata
Credit	to:	Iain	Hrynaszkiewicz
….	which	this	isn’t...
A B C D E F
1 Parameter Day Control Treated Units P
2 Sodium 0 139 142 mEq/l 0.82
3 Sodium 7 140 146 mEq/l 0.70
4 Sodium 14 140 158 mEq/l 0.03
5 Sodium 21 143 160 mEq/l 0.02
6 Potassium 0 3.3 4.8 mEq/l 0.06
7 Potassium 7 3.4 5.1 mEq/l 0.07
8 Potassium 14 3.7 4.7 mEq/l 0.10
9 Potassium 21 3.1 3.6 mEq/l 0.52
10 Chloride 0 100 108 mEq/l 0.56
11 Chloride 7 97 108 mEq/l 0.68
12 Chloride 14 101 106 mEq/l 0.79
Table_S1_Shanghai_blood.xls
Credit	to:	Iain	Hrynaszkiewicz
….	This	is	much	clearer!
Seven week old C57BL/6N mice were treated
with low-fat diet.
Liver was dissected out, hepatocytes prepared…
From	natural	language	to	
structured	data
Age value
Unit
Strain name
Subject of the experiment
Type of diet and
experimental condition
Anatomy part
Seven week old C57BL/6N mice were treated
with low-fat diet.
Liver was dissected out, hepatocytes prepared …
Type of protocol – cell preparation
Type of protocol - sample treatment
Type of protocol – liver preparation
From	natural	language	to	
structured	data
• Data/content standards:
• Structure, enrich and report the description of the
datasets and the experimental context under which they
were produced
• Facilitate the discovery, sharing, understanding and
reuse of datasets
Data	has	to	be	structured	for	sharing	
– we	need	standards
de jure de facto
grass-roots
groups
standard
organizations
Nanotechnology Working Group
Community	mobilisation	to	develop	
content	standards
Formats Terminologies Guidelines
Guidelines	=	Minimum	information	
reporting	requirements,	checklists
o Report	the	same	core,	essential	
information	
o e.g.	ARRIVE	guidelines
Terminologies	=	Controlled	
vocabularies,	taxonomies,	
thesauri,	ontologies etc.
o Use	the	same	word	and	
refer	to	the	same	‘thing’
o e.g.	Gene	Ontology
Models/Formats	=	Conceptual	
model,	conceptual	schema,	
exchange	formats
o Allow	data	to	flow	from	one	
system	to	another
o e.g.	FASTA
Enablers:	to	better	describe,	share	
and	query	data
Formats Terminologies Guidelines
193	
85	
346	
miame
MIAPA
MIRIAM
MIQASMIX
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
There	are	over	600	standards	in	
the	life	sciences
Formats Terminologies Guidelines
Data	policies
(30)
Databases
(763)
data/metadata	standards
(652)
A	complex	and	evolving	landscape
Formats Terminologies Guidelines
Is	there	a	database,	implementing	
standards,	where	to	deposit	my	
metagenomics dataset?
My	funder’s	data	sharing	policy	
recommends	the	use	of	
established	standards,	but	which	
ones	are	widely	endorsedand	
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	implementing	this	
exchange	format,	whose	development	
we	have	funded?	
What	are	the	mature
standardsand	
standards-compliant	
databases	we	should	
recommend	to	our	
authors?
Helping	people	make	the	right	
decision
Introducing	BioSharing
Mapping the landscape of ‘standards’ in the life, environmental and
biomedical sciences
Mapping the landscape of ‘standards’ in the life, environmental and
biomedical sciences
1,400	records	and	growing	
What	is	BioSharing?
A	web-based,	curated and	searchable	portal	that monitors	the	development	
and	evolution of	standards,	their	use in	databases	and	the	adoption	of	both	in	
data	policies,	to	inform	and	educate	the	user	community.
Mapping the landscape of ‘standards’ in the life, environmental and
biomedical sciences
Mapping the landscape of ‘standards’ in the life, environmental and
biomedical sciences
What	is	BioSharing?
Launched	in	2011,	as	an	evolution	of	the	MIBBI	portal	(2008-2011)
Manually	curated
Community	driven
Growing	userbase and	visibility
1,400	records	and	growing
also	operates	as	a	WG	in	Run	at is	also	an Resource	that
The	BioSharing community
1,400	records	and	growing
How	do	we	describe	
standards?
23
Criteria	for	evaluating	standards
Linking	standards,	
databases	and	policies
Model/format	formalizing	reporting	guideline	-->	
<-- Reporting	guideline	used	by	model/format
Cross-linking	standards	to	
standards	and	databases
Model/format	formalizing	reporting	guideline	-->	
<-- Reporting	guideline	used	by	model/format
Cross-linking	standards	to	
standards	and	databases
Indicators	of	life	cycle	status
Ready	for	use,	implementation,	or	recommendation
In	development
Status	uncertain
Deprecated	as	subsumed	or	superseded
Manually	curated,	approved	by	the	community
An	informative	and	
educational	resource
Simple	and	advanced	searches,	ask	our	wizard	or	
view	journal	recommendations
The International Conference on Systems Biology (ICSB), 22-28 August,2008 Susanna-Assunta
Sansone www.ebi.ac.uk/net-project
Search,	filter,	and	refine	using	our	faceted	
search
Search,	filter,	and	refine	using	our	faceted	
search
Collections group	together	
one	or	more	types	of	resource	
by	domain,	project	or	
organization.	
Recommendations are	a	core-
set	of	resources	that	are	
selected	and	recommended	
by	a	funder	or	journal	data	
policy.
Standards	and	databases	
recommended by	journal	data	
policies	
Standards	and	databases	
recommended by	journal	data	
policies
The	wizard:
• Guides	users	through	the	data
• Will	grow	in	functionality	and	
complexity,	based	on	user	
feedback
• Powered	by	curated	
descriptions	of	each	standard	
and	database,	and	their	
relations
Is	there	a	database,	implementing	
standards,	where	to	deposit	my	
metagenomics dataset?
My	funder’s	data	sharing	policy	
recommends	the	use	of	
established	standards,	but	which	
ones	are	widely	endorsedand	
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	implementing	this	
exchange	format,	whose	development	
we	have	funded?	
What	are	the	mature
standardsand	
standards-compliant	
databases	we	should	
recommend	to	our	
authors?
Helping	people	make	the	right	decision
BioSharing – what	we	do
Inform – what’s	out	there,	which	databases	use	
which	standards.	Map	the	landscape.
Educate– what	databases	are	recommended	by	your	
funder,	or	journal	of	choice,	which	standards	should	
you	be	using,	which	standards	and	databases	should	
you	recommend?	Explore	the	landscape.
Acknowledgements
Eamonn
Maguire,	DPhil
Software	Engineer	
(contractor)
Philippe	
Rocca-Serra,	PhD
Senior	Research	Lecturer
Alejandra
Gonzalez-Beltran,	PhD
Research	Lecturer
Milo	
Thurston,	DPhil
Research	SW	Engineer
Massimiliano
Izzo,	PhD
Research	SW	Engineer
Peter	
McQuilton,	PhD
Knowledge	Engineer
Allyson	
Lister,	PhD
Knowledge	Engineer
David	
Johnson,	PhD
Research	SW	Engineer
Susanna-Assunta	Sansone,	PhD
Centre’s	Associate	Director,	Principal	Investigator
and
Springer	Nature’s	Consultant	for	Scientific	Data
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