Presentation at the 2012 Digital Libraries Federation Fall Forum in Denver, CO. Workshop on Data Management Services, held 5 Nov 2012. http://www.diglib.org/forums/2012forum/data-management-services-at-the-library-the-3-hour-tour/
1. From
Calisphere
via
California
State
University
Libraries,
Data
Management
A
Scientist’s
ark:/13030/c818356g
Perspective
Carly
Strasser
|
@carlystrasser
California
Digital
Library
DLF
Fall
Forum
University
of
California
Curation
Center
November
2012
2. Roadmap
5. Landscape
4. Barriers
3. The
Fallout
2. The
world
of
data
1. A
brief
history
of
data
collection
C.
Strasser
3. A
Brief
From
Calisphere
via
Santa
Clara
University,
History
of
Data
ark:/13030/kt696nc7j2
Collection
Or…
how
scientists
came
to
be
so
bad
at
data
management
5. From
Flickr
by
DW0825
From
Flickr
by
Flickmor
From
Flickr
by
deltaMike
Digital
data
www.woodrow.org
C.
Strasser
Courtesey
of
WHOI
From
Flickr
by
US
Army
Environmental
Command
16. UGLY TRUTH
Many
(most?)
researchers…
5shortessays.blogspot.com
are
not
taught
data
management
don’t
know
what
metadata
are
can’t
name
data
centers
or
repositories
don’t
share
data
publicly
or
store
it
in
an
archive
aren’t
convinced
they
should
share
data
27. Barriers:
Sociocultural
Not
the
norm
Lack
of
/
too
From
Flickr
by
toucanradio
many
standards
Disparate
data
From
Flickr
by
Chris
Campbell
28. Barriers:
Sociocultural
From
Flickr
by
uniinnsbruck
Not
the
norm
Lack
of
/
too
many
standards
Disparate
data
Lack
of
training
29. From
Flickr
by
Christina
Ann
VanMeter
Missed
opportunities
Loss
of
rights
or
benefits
From
Flickr
by
pnh
Barriers:
Sociocultural
Conflict
From
Flickr
by
tymesynk
Misuse
30. Barriers:
Sociocultural
Lack
of
incentives
Time
consuming
&
expensive
No
requirements
From
Flickr
by
bthomso
Reward
structure
31. From
Flickr
by
Marquette
University
generation?
But
what
about
the
next
32. Are
Undergrads
Learning
About
Data
Management?
• Metadata
generation
40
• Software
choice
35
• File
naming
• QAQC
30
Important
• Backing
up
25
• Workflows
20
• Data
sharing
• Data
re-‐use
15
• Meta-‐analysis
10
• Reproducibility
• Notebook
protocols
5
• Databases
0
If
it’s
important,
why
0
10
Assessed
20
30
40
isn’t
it
taught?
Strasser
and
Hampton,
In
press
at
Ecosphere
33. Are
Undergrads
Learning
About
Data
Management?
Barriers
Too
Not
a
Not
advanced
priority
appropriate
level
Students
Time
don’t
know
No
software
Lab
No
training
Covered
Too
in
Lab
big
Strasser
and
Hampton,
In
press
at
Ecosphere
37. From
Flickr
by
Richard
Moross
Citing
Data
Example:
Sidlauskas,
B.
2007.
Data
from:
Testing
for
unequal
rates
of
morphological
diversification
in
the
absence
of
a
detailed
phylogeny:
a
case
study
from
characiform
fishes.
Dryad
Digital
Repository.
doi:10.5061/dryad.20
38. From
Flickr
by
Richard
Moross
Data
Management
Requirements
Journal
publishers
39. From
Flickr
by
Richard
Moross
Data
Management
Requirements
Journal
publishers
Funders
40. Why
should
a
scientist
prepare
a
DMP?
Saves
time
Increases
efficiency
Easier
to
use
data
Others
can
understand
&
use
data
Credit
for
data
products
Funders
require
it
41. What
is
a
data
Will
I
get
credit
management
for
my
work?
Plan
plan?
Analyze
Collect
What
tools
do
I
Are
there
use?
standards?
Integrate
Assure
What
is
How
much
will
metadata?
Who
can
help
it
cost?
From
Flickr
by
darkuncle
me?
Discover
Describe
Where
do
I
Preserve
How
do
I
preserve
my
preserve
my
data?
data?
42. Features
Best
practices
check
Generate
metadata
Generate
citation
Post
data
to
repository
dataup.cdlib.org
@DataUpCDL
43. My
website
carlystrasser.net
Email
me
carlystrasser@gmail.com
Tweet
me
@carlystrasser
My
slides
slideshare.net/carlystrasser
CDL
Blog
datapub.cdlib.org