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An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
An overview of Antarctic biodiversity networks
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An overview of Antarctic biodiversity networks

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Presentation given at the GBIF science symposium, Buenos Aires, October 2011

Presentation given at the GBIF science symposium, Buenos Aires, October 2011

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  • So starting with “Open”. I like this definition from wikipedia\n
  • OK. Linked. Again Wikipedia provides a good definition. The point is that data are more relevant and useful if they are associated and explicitly linked with other data, especially when they are linked in a way that computers can readily interpret.\n\n
  • Useful. I don’t define useful, because it depends on your perspective.\n\n
  • So if we think of interoperability of the actual data not just the metadata, there are two general approaches: A geospatial or map-based approach and a semantic approach that relies on common, well-defined concepts and relationships. Semantic work is really still in its infancy. There has been some work in specific domains and IPY has an agreement on basic terms, but major challenges remain. There has been progress in the geospatial realm.\n\n
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  • No data = no science = no knowledge\n
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  • Transcript

    • 1. GBIF Science Symposium 2011An overview of Antarctic Biodiversity NetworksBruno DanisProject ManagerAntarctic Biodiversity Information Facility (GBIF)October 5, 2011
    • 2. Layout• Background• Our vision• Achievements and products• Uptake of GBIF tools• The Future: Technological and Cultural challenges
    • 3. Background
and
vision 3
    • 4. Antarctic Treaty (our inspiration) « In order to promote international cooperation in scientific investigation in Antarctica, […], the Contracting Parties agree that, to the greatest extent feasible and practicable: […]Scientific observations and results from Antarctica shall be exchanged and made freely available. » 50+ years ago...
    • 5. Specifics
about
Antarc7ca• Antarc7c
Treaty
system
(no
government):
the
con7nent
is
devoted
 to
peace
and
science
(but
doesn’t
appear
on
maps)• SCAR
‐
the
Scien7fic
CommiCee
on
Antarc7c
Research• Rather
sophis7cated
logis7cs
makes
it
expensive• Biodiversity – Highly
adapted – Mostly
marine – Extreme(ly
stable)
environment – Extremely
sensi7ve 5
    • 6. SCAR‐MarBIN
&
ANTABIF• www.scarmarbin.be:
marine
biodiversity
informa7on
network• www.biodiversity.aq:
biodiversity
informa7on
facility• Core
funding:
BELSPO.be
(un7l
June
2012)• Interna7onal
Polar
Year
2007/08• Census
of
Antarc7c
Marine
Life• Ocean
Biogeographic
Informa7on
System• Global
Biodiversity
Informa7on
Facility

    • 7. General philosophy• Build
an
electronic
ecosystem• Offer
free
and
open
access
to
data
and
technology• Expose
all
the
(biodiversity)
data
and
metadata,
in
mul7ple
contexts• Remain
community‐driven,
and
collabora7ve• Adopt
strong
standardiza7on• Work
for
science,
conserva7on,
management 7
    • 8. Who’s
in? 8
    • 9. Achievements 9
    • 10. Taxonomy • The
first
RAMS • Board
of
60+
editors • Feeds
WoRMS,
CoL
and
EoL • 17,098
taxa
(RAMS) • Building
a
dynamic
RAS • 24,248
taxa
(RAS) 10
    • 11. Geospa7al
data • 1,288,441
records • 198
datasets • 5,235
taxa • Feeds
OBIS,
GBIF • Downloadable • WebGIS • Webservices 11
    • 12. Webportals • Up since Oct 2005 • taxonomy, occurrence, metadata, gazetteer, literature • open access • 909,915 visitors • 8,093,774 hits • 51,416,196 dld records • 124 scientific papers 12
    • 13. www.biodiversity.aq
    • 14. www.scarmarbin.be
    • 15. data.scarmarbin.be
    • 16. share.biodiversity.aq
    • 17. ipt.biodiversity.aq
    • 18. scratchpads.biodiversity.aq
    • 19. ogc.biodiversity.aq
    • 20. Community
projects
 (the
carrots) • Antarc7c
Field
Guides • Gap
analysis • Biogeography
Atlas
of
the
 Southern
Ocean 20
    • 21. Antarc7c
Field
Guides afg.biodiversity.aq• (nice‐looking)
Iden7fica7on
aid• Publica7on/sharing
plajorm
for
customized
Field
Guides• Best
available
pictures• Expert
Descrip7ons• Many
contributors,
building
the
content• Dynamically
built
from
various
sources
(incl.
RAMS
and
GBIF) 21
    • 22. afg.biodiversity.aqAntarctic Field Guides
    • 23. afg.biodiversity.aq
    • 24. afg.biodiversity.aq
    • 25. afg.biodiversity.aq
    • 26. afg.biodiversity.aq
    • 27. afg.biodiversity.aq
    • 28. Gap
analysis share.biodiversity.aq• Quick
gap
analysis
on
full
dataset• A
small
group
of
enthusiasts• Cleaned
full
SCAR‐MarBIN
dataset• Produce
visual
products• Produce
a
scien7fic
paper• How
ignorant
are
we?
 28
    • 29. Gaps
in
our
knowledge
(spa7al) Clarke AH, Danis B, Griffiths HJ, DSRII 2011 BENTHOS PLANKTON
    • 30. All species
    • 31. Benthic species 31
    • 32. Birds and Mammals (nice and fluffy) Clarke AH, Danis B, Griffiths HJ, DSRII 2011
    • 33. Nematoda (small and ugly) Clarke AH, Danis B, Griffiths HJ, DSRII 2011
    • 34. Yet another little problem De Broyer C & Danis B, DSRII 2011
    • 35. Yet another little problem2,8 isopod species described per year De Broyer C & Danis B, DSRII 2011
    • 36. Yet another little problem2,8 isopod species described per year600+ discovered during ANDEEP expeditions De Broyer C & Danis B, DSRII 2011
    • 37. Yet another little problem2,8 isopod species described per year600+ discovered during ANDEEP expeditions214 years to describe them! De Broyer C & Danis B, DSRII 2011
    • 38. Biodiversity
Atlas
of
the
SO atlas.biodiversity.aq• Re‐do
of
a
“classic”:
Hedgepeth
1969• BASO:
Paper
and
digital
versions• Predic7ve
maps
(93
env.
parameters
injected...)• Build
an
interac7ve
plajorm• Crossdisciplinary
capacity
building• Fill
in
gaps• 60
contributors
from
36
ins7tu7ons
in
16
countries 35
    • 39. Hedgpeth
1969’s
Folio
    • 40. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 41. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 42. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 43. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 44. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 45. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 46. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 47. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 48. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 49. Mashing
(and
sharing)
data
layers Slope Bathymetry Chlorophyll Distance to the continent Distance to bird colonies Distance to ice Distance to shelf Distance to canyon Floor temperature ...
    • 50. Nuts
and
Bolts(or how we are taking up GBIF tools) 40
    • 51. 100%
Open
Source
Recipe• Language:
Ruby• Design
paCerns:
MVC‐ORM• Framework:
Rails(Ac7veRecord)
and

YUI
• Search
engine:
Full
text
(Elas%csearch‐Lucene)• Database:
PostGresql
• GIS
server:
Geoserver• Spa7al
database:
PostGIS• Mapping
client:
OpenLayers
• Web
services:
RESTish
(all
resources)• Protocols/Standards:
DIF,
DwC,
DwC‐A,
Tapir…etc• GBIF
tools
:
HIT,IPT• OS:
FreeBSD
• Hos7ng:
BeBIF

(ULB/VUB
joint
IT
Center)• Metadata
systems:
GCMD
API
(DIF) 41
    • 52. Gesng
data
in
and
out 42
    • 53. More
GBIF
resources
taken
up • Data
transforma7on
tools • GBIF
community
site • Collabora7on
and
Capacity
building
documents • Communica7on
channels • Webservices • Standards 43
    • 54. impact
of
GBIF
on
SCAR
[IPT]• Communi7es
have
the
possibility
to
push
their
data
to
GBIF• BeCer
impression
of
control
over
the
data• Data
Paper
concept• Fast
publica7on
of
new
data• Instances
in
different
ins7tu7ons• (makes
my
life
easy) 44
    • 55. impact
of
GBIF
on
SCAR
[NPT]• (many)
Communi7es• Poten7al
to
deploy
many
Antarc7c
biodiversity
portals• SCAR
Ac7on
groups
(thema7c)• Polar
ins7tutes,
Na7onal
Antarc7c
Data
Centers• Research
plajorms
(vessels,
bases,...)• Overarching
projects• Training• (will)
make
my
life
easy 45
    • 56. impact
of
SCAR
on
GBIF
• (Mini‐GBIF)=>case
study• Interna7onal,
interdisciplinary• Antarc7c
Treaty
=
50
years
of
collabora7on• SCADM
(data
managers):
Data
policy
and
Standards• APECS
(young
scien7sts)
• A
community
in
the
star7ng‐blocks,
happy
to
experiment 46
    • 57. (near)
Future• Many
IPTs• Many
NPTs
• Enhanced
data
flow• The
community
feels
responsibility
to
share
data• Op7miza7on
of
Biodiversity
research
efforts/resources• Enhanced
interoperability• Integra7ve,
connected
science• Factual,
adapta7ve
conserva7on
and
management• =>
everyone’s
happy 47
    • 58. Challenges
ahead 48
    • 59. The
Polar
Informa7on
Commons www.polarcommons.org• Climate
change
Magnifica7on• =>
Emergency
solu7on• Setup
of
a
commons – IT

cloud
+
GCMD – Set
of
norms(!)• All
polar
data
(IPY)• Simple
procedure
to
upload
data:
 – badge
dataset(s)
(describe,
choose
a
CC
Licence) – throw
your
data
in
the
Cloud – done 49
    • 60. PIC
Architecture 50
    • 61. Radical
openness:Data
are
discoverable,
open,
 linked,
useful,
and
safe 51
    • 62. DiscoverableData
should
be
accessible
soon
azer
collec7on
(online
wherever
possible)
in
a
discovery
portal
such
as
the
Global
Change
Master
Directory.
    • 63. OpenOpen
Data
is
a
philosophy
and
prac7ce
requiring
that
certain
data
are
freely
available
to
everyone,
without
restric7ons
from
copyright,
patents
or
other
mechanisms
of
control.—WikipediaAnything
else
hampers
science
(and
we
don’t
have
9me).
    • 64. LinkedThe
term
Linked
Data
is
used
to
describe
a
method
of
exposing,
sharing,
and
connec7ng
data
[using]
the
Web.—WikipediaWeb2.0
philosophy
    • 65. UsefulData
from
different
projects,
disciplines,
and
data
centers
should
be
easily
understood
and
used
in
conjunc7on
with
each
other
in
standard
tools
and
analysis
frameworksData
should
be
well
described
so
to
be
useful
for
a
broad
audience.
    • 66. InteroperableMetadata
and
data
should
be
readily
interchangeable
between
different
polar
data
systems
to
enable
data
discovery
across
mul7ple
portals.So
we
stop
reinven+ng
the
wheel
all
the
9me...
    • 67. SafeSafe
from
hackers,
from
obsolescence,
from
undocumented
change,
from
loss,
and
from
the
ravages
of
7me.
    • 68. The
biggest
challenge
is
cultural
    • 69. Thanks www.biodiversity.aq www.polarcommons.org image
©
NY
Times
 59

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