Presentation delivered at launch of TPAC eResearch Cloud

1. Adding
Value
to
Researchers’
Data
Dr
Andrew
Treloar,
Director
of
Technology
1
CC-­‐BY
@atreloar

2. Outline
§ Research
is
changing
§ We
are
all
in
the
data
business
§ ANDS
characterisEcs
§ Adding
value
to
researchers’
data
CC-­‐BY
@atreloar
2

3. July
29,
2014
CC-­‐BY-­‐SA,
@hvdsomp
and
@atreloar
3
So
many
research
lifecycles…

4. Minimal
Research
Lifecycle
Share
Think
Do
July
29,
2014
CC-­‐BY-­‐SA,
@atreloar
4
01000001 01101110
01100100 01110010
01100101 01110111

5. CC-­‐BY-­‐NC-­‐SA
hRps://secure.flickr.com/photos/nowpicnic/2182152599/
5

6. LHC output from 2009-2013
= 100PB
(www.symmetrymagazine.org/article/february-2013/
achievement-unlocked-100-petabytes-of-data)
@atreloar

7. Long-­‐tail
data
CC-­‐BY
@atreloar
7
Size
Number

8. Lee
Berger
and
Australopithecus
sediba
8
Lee Berger Google Talk: The Skull in the Rock

9. CC-­‐BY
@atreloar
9

10. What
business
are
we
in?
Theodore
LeviR,
The
Changing
Character
of
Capitalism,
Harvard
Business
Review,
July–August
1956
“The
railroads
did
not
stop
growing
because
the
need
for
passenger
and
freight
transportaEon
declined.
That
grew.
The
railroads
are
in
trouble
today
not
because
that
need
was
filled
by
others
(cars,
trucks,
airplanes,
and
even
telephones)
but
because
it
was
not
filled
by
the
railroads
themselves.
They
let
others
take
customers
away
from
them
because
they
assumed
themselves
to
be
in
the
railroad
business
rather
than
in
the
transporta6on
business.”
CC-­‐BY
@atreloar
10

11. Photo CC-BY www.flickr.com/photos/jerryjohn/63351338/
CC-­‐BY
@atreloar
11

12. Photo CC-BY www.flickr.com/photos/stiefkind/6454784607/
CC-­‐BY
@atreloar
12

13. Photo CC-BY www.flickr.com/photos/torkildr/3462607995/
CC-­‐BY
@atreloar
13

14. CC-BY @atreloar 14

15. Key
differenEators
for
ANDS
§ NaEonally
co-­‐ordinated
approach
§ InsEtuEonally-­‐focussed
engagement
§ “helping
them
meet
their
research
data
ambiEons”
§ Engaging
with
large
naEonally-­‐funded
discipline
investments
§ Bulk
of
funds
spent
outside
ANDS
§ All
disciplines
covered
§ Focus
on
adding
value
to
data
and
re-­‐use
15
ands.org.au

16. ANDS
enables
the
transformaEon
of:
Data
that
are:
" Unmanaged
" Disconnected
" Invisible
" Single
use
To
Structured
CollecEons
that
are:
" Managed
" Connected
" Findable
" Reusable
so
that
Australian
researchers
can
easily
publish,
discover,
access
and
use/re-­‐use
research
data.
CC-­‐BY
@atreloar
16

17. CC-­‐BY
@atreloar
17

18. CC-­‐BY
@atreloar
18

19. CC-­‐BY
@atreloar
19

20. CC-­‐BY
@atreloar
20

21. CC-­‐BY
@atreloar
21

22. CC-­‐BY
@atreloar
22

23. CC-­‐BY
@atreloar
23

24. QuesEons?
§ ands.org.au
§ andrew.treloar@ands.org.au
§ @atreloar
24
CC-­‐BY
@atreloar

25. ANDS
online
services
§ Research
Data
Australia
§ Cite
my
Data
DOI
IdenEfier
service
§ Vocab
creaEon/management
service
+
API
§ Research
AcEvity
idenEfier
service
+
API
§ Developer
toolbox
ands.org.au
25

26. Value
of
data
is
increased
because
§ It
is
beRer
managed
§ It
is
more
findable
§ It
is
citeable
§ It
is
(potenEally)
more
re-­‐usable
§ InternaEonal
data
environments
are
more
compaEble
with
those
in
Australia
CC-­‐BY
@atreloar
26

27. Major
programs
undertaken
(200+
projects)
§ Seeding
the
Commons
(fixing
the
past)
§ Data
Capture
(fixing
the
future)
§ Metadata
Stores
(managing
insEtuEonal
research
data
assets)
§ ApplicaEons
(demonstraEng
value
of
joining
data)
§ Major
Open
Data
CollecEons
(content
focus)
§ eResearch
Infrastructure
ConnecEvity
(connecEon
focus)
CC-­‐BY
@atreloar
27