1. Data
Management
Plans
Status
Perspectives
Opportunities
Carly
Strasser
California
Digital
Library

2. Melissa
Cragin
(AAAS
Fellow
at
NSF)
Jennifer
Schopf
(NSF)
Mark
Schildhauer
(NCEAS)
MacKenzie
Smith
Not
Copyright
Compa.ble

3. Roadmap
4. Policies:
Opportunities
&
3. Current
Status
Challenges
2. Perspectives
1. Introduction
to
DMPs

4. Plan
Analyze
Collect
Integrate
Assure
Discover
Describe
Preserve
DataONE

5. Digital
data

6. Where
data
end
up
www
Data
Metadata
Recreated
from
Klump
et
al.
2006

7. Where
data
end
up
www
Data
www
Metadata
Recreated
from
Klump
et
al.
2006

8. Data
Reuse
Data
Sharing
Data
Management

9. Trends
in
Data
Archiving
Journal
publishers
Joint
Data
Archiving
Agreement

10. Trends
in
Data
Archiving
Journal
publishers
Joint
Data
Archiving
Agreement
Data
Papers
Ecological
Archives

11. Trends
in
Data
Archiving
Journal
publishers
Joint
Data
Archiving
Agreement
Data
Papers
Ecological
Archives
Funders

12. • NIH
Grants
>$500k
require
a
data
sharing
plan
in
the
application.
Data
should
be
made
as
widely
and
freely
available
as
possible.
• CDC
Provides
data
to
its
partners
for
appropriate
public
health
purposes
and
all
data
are
released
and/or
shared
as
soon
as
feasible
• DOE
US
Global
Change
Research
program:
data
of
potentially
broad
use
in
climate
change
research
and
assessments
should
be
archived,
when
possible,
in
data
repositories
for
subsequent
dissemination
• DOD
Establish
and
maintain
a
coordinated
and
comprehensive
program
to
document
the
results
and
outcome
of
research
efforts
and
provide
access
effectively.
• NASA
Maximize
access
to
data
• National
Endowment
for
the
Humanities
Requires
DMPs
as
of
2011
• USDA
CSREES
Data
required
to
be
submitted
into
the
public
domain
without
restriction
• US
Department
of
Education
provides
Data
Sharing
Implementation
Guide
• NSF
Requires
DMPs
as
of
2011
University
of
Minnesota
Libraries

13. NSF
DMP
Requirements
From
Grant
Proposal
Guidelines:
DMP
supplement
may
include:
1. the
types
of
data,
samples,
physical
collections,
software,
curriculum
materials,
and
other
materials
to
be
produced
in
the
course
of
the
project
2.
the
standards
to
be
used
for
data
and
metadata
format
and
content
(where
existing
standards
are
absent
or
deemed
inadequate,
this
should
be
documented
along
with
any
proposed
solutions
or
remedies)
3.
policies
for
access
and
sharing
including
provisions
for
appropriate
protection
of
privacy,
confidentiality,
security,
intellectual
property,
or
other
rights
or
requirements
4.
policies
and
provisions
for
re-­‐use,
re-­‐distribution,
and
the
production
of
derivatives
5.
plans
for
archiving
data,
samples,
and
other
research
products,
and
for
preservation
of
access
to
them

14. Roadmap
4. Policies:
Opportunities
&
3. Current
Status
Challenges
2. Perspectives
1. Introduction
to
DMPs

15. Scientist
Perspectives
“Another
requirement?”
Scientists
have
• increasing
competition
for
funds,
jobs,
students
• no
time
• no
data
management
training
Carly A. Strasser, PhD
Contact DCXL Project Manager 510.987.0179
Information 415 20th Street carly.strasser@ucop.edu
Oakland California 94612 www.carlystrasser.net
Education Massachusetts Institute of Technology/Woods Hole Oceanographic Institution
Ph.D. Biological Oceanography, March 2008
Dissertation: “Metapopulation Dynamics of the Softshell Clam, Mya arenaria”
• no
knowledge
of
incentives
University of San Diego
B.A., Marine Science with Biology emphasis, Summa Cum Laude, May 2001
Thesis: “Population structure of the Antarctic krill, Euphausia superba”
Research & California Digital Library, University of California O ce of the President, Oakland CA
Professional DCXL Project Manager July 2011 - present
Experience
The Digital Curation for Excel (DCXL) project will facilitate data management, sharing, and archiv-
ing for earth, environmental, and ecological scientists. We will build an open source add-in for Mi-
crosoft Excel that will assist scientists in preparing their Excel data for sharing. We are currently
talking to scientists about what this might entail.
DataONE, based at National Center for Ecological Analysis & Synthesis, UC Santa Barbara
Postdoctoral Associate September 2010 - August 2011
Engaging the scientific and data management community in the Data Observation Network for Earth
(DataONE), a cyberinfrastructure that will provide universal access to environmental and ecological
data. Advisor: Stephanie Hampton.
University of Alberta & Dalhousie University, Edmonton AB & Halifax NS, Canada
Postdoctoral Investigator January 2009 - October 2010
Used theoretical and experimental approaches to understand the role of life stage in establishment
of invasive copepods introduced via ballast water. Advisors: Mark Lewis (University of Alberta)
and Claudio DiBacco (Dalhousie University & Bedford Institute of Oceanography).
Woods Hole Oceanographic Institution, Woods Hole MA
Postdoctoral Investigator March 2008 - December 2008
Developed demographic models of the endangered North Atlantic right whale population based on
mark-recapture data. Advisor: Hal Caswell.
MIT-WHOI Joint Program, Boston & Woods Hole MA
PhD Candidate June 2002 - March 2008
Combined experimental, field, and theoretical techniques to explore the metapopulation dynamics
of the softshell clam, Mya arenaria. Advisors: Lauren Mullineax, Simon Thorrold, Mike Neubert.
Maric College, San Diego CA
Laboratory Manager June 2001 - June 2002
Managed education laboratories for Biology, Anatomy, and Biochemistry courses. Generated bud-
gets, ordered supplies, prepared and maintained materials for student laboratories.

16. Why
should
scientists
prepare
a
DMP?
Funders
protect
their
investment
Saves
time
Increases
efficiency
Easier
to
use
data
Others
can
understand
&
use
data
Credit
for
data
products

17. Scientist
Perspectives
Data-­‐related
goals
for
scientists
• Credit
for
work
• Access,
rights,
control
over
use
Carly A. Strasser, PhD
Contact
Information
DCXL Project Manager
415 20th Street
510.987.0179
carly.strasser@ucop.edu
Oakland California 94612 www.carlystrasser.net
• Help
complying
with
grant
terms
Education Massachusetts Institute of Technology/Woods Hole Oceanographic Institution
Ph.D. Biological Oceanography, March 2008
Dissertation: “Metapopulation Dynamics of the Softshell Clam, Mya arenaria”
University of San Diego
B.A., Marine Science with Biology emphasis, Summa Cum Laude, May 2001
Thesis: “Population structure of the Antarctic krill, Euphausia superba”
Research & California Digital Library, University of California O ce of the President, Oakland CA
Professional DCXL Project Manager July 2011 - present
Experience
The Digital Curation for Excel (DCXL) project will facilitate data management, sharing, and archiv-
ing for earth, environmental, and ecological scientists. We will build an open source add-in for Mi-
crosoft Excel that will assist scientists in preparing their Excel data for sharing. We are currently
talking to scientists about what this might entail.
DataONE, based at National Center for Ecological Analysis & Synthesis, UC Santa Barbara
Postdoctoral Associate September 2010 - August 2011
Engaging the scientific and data management community in the Data Observation Network for Earth
(DataONE), a cyberinfrastructure that will provide universal access to environmental and ecological
data. Advisor: Stephanie Hampton.
University of Alberta & Dalhousie University, Edmonton AB & Halifax NS, Canada
Postdoctoral Investigator January 2009 - October 2010
Used theoretical and experimental approaches to understand the role of life stage in establishment
of invasive copepods introduced via ballast water. Advisors: Mark Lewis (University of Alberta)
and Claudio DiBacco (Dalhousie University & Bedford Institute of Oceanography).
Woods Hole Oceanographic Institution, Woods Hole MA
Postdoctoral Investigator March 2008 - December 2008
Developed demographic models of the endangered North Atlantic right whale population based on
mark-recapture data. Advisor: Hal Caswell.
MIT-WHOI Joint Program, Boston & Woods Hole MA
PhD Candidate June 2002 - March 2008
Combined experimental, field, and theoretical techniques to explore the metapopulation dynamics
of the softshell clam, Mya arenaria. Advisors: Lauren Mullineax, Simon Thorrold, Mike Neubert.
Maric College, San Diego CA
Laboratory Manager June 2001 - June 2002
Managed education laboratories for Biology, Anatomy, and Biochemistry courses. Generated bud-
gets, ordered supplies, prepared and maintained materials for student laboratories.
From
MacKenzie
Smith

18. Scientist
Perspectives
What
scientists
want
• Boiler
plate
• Trusted
advice
• Examples
• Phrases
to
use
• Guidance
on
archives
• Best
practices
training
From
Flickr
by
ThewmaH

19. Perspectives:
Institutions
• Puts
pressure
on
institutions
to
take
some
responsibility
for
data
preservation
• How
to
properly
support
scientists?
– Cyberinfrastructure
– Personnel
– Long-­‐term
preservation
costs
– Scientist
education
• How
to
fund?
From
Flickr
by
Francisco
Diez

20. Perspectives:
Funders
• Protect
investment
• Ensure
future
viability
of
data
products
• Maximize
$
impact

21. Roadmap
4. Policies:
Opportunities
&
3. Current
Status
Challenges
2. Perspectives
1. Introduction
to
DMPs

22. NSF’s
Vision
• DMPs
and
their
evaluation
will
grow
and
change
over
time
(e.g.
broader
impacts)
• Peer
review
will
determine
next
steps
• DMPs
are
a
good
first
step
towards
improving
data
stewardship
– starting
discussion
– scientists
learning
about
data
management
• Working
group
will
assess
outcomes

23. NSF’s
Vision
Community-­‐driven
guidelines
• Avoiding
a
one-­‐size-­‐fits-­‐all
approach
– Different
disciplines
have
different
definitions
of
acceptable
data-­‐sharing
• DMPs
will
be
subject
to
peer
review,
community
standards
– Flexibility
at
the
directorate
and
division
levels
– Tailor
implementation
as
appropriate
From
Jennifer
Schopf

24. NSF’s
Vision
• Evaluation
will
vary
with
directorate,
division,
program
officer
• Overall
guidelines
for
evaluation
might
be
useful
• Additional
expertise
on
panels
to
effectively
evaluate
DMPs
(?)

25. NSF
Panel
Evaluation
of
DMPs
• Will
not
tank
a
proposal
unless
it
is
not
present
• Panels
looking
to
POs
for
direction
on
evaluation
• Determine
whether
DMP
is
adequate
– Is
a
DMP
present?
– Does
the
PI
discuss
how
they
will
archive
data?
• Not
currently
a
part
of
the
merit
review
process
– Slap
on
the
wrist
if
good
proposal
has
a
bad
DMP
– Another
nail
in
the
coffin
if
a
bad
proposal
has
a
bad
DMP
• Some
knowledgeable
PIs
using
DMPs
as
strategic
tool:
part
of
proposal
narrative
• DMPs
can
be
used
to
identify
gaps,
e.g.
domains
with
no
cyberinfrastructure
for
their
data

26. Unofficial
Notes
• Templates
are
potentially
problematic
– must
morph
with
requirements
over
time
– must
be
sufficiently
flexible
• Templates
are
primarily
from
libraries:
the
libraries
are
not
part
of
a
larger
research
management
initiative
– policy
complications
and
governance
issues
may
not
be
addressed
adequately

27. DMPTool
Step-­‐by-­‐step
wizard
for
generating
DMP
Create
|
edit
|
re-­‐use
|
share
|
save
|
generate
Open
to
community
Links
to
institutional
resources
Directorate
information
&
updates

29. DCC
DMP
Online
DCC
Policies
section

30. Roadmap
4. Policies:
Opportunities
&
3. Current
Status
Challenges
2. Perspectives
1. Introduction
to
DMPs

31. NSF
DMP
Requirements
From
Grant
Proposal
Guidelines:
DMP
supplement
may
include:
1. the
types
of
data,
samples,
physical
collections,
software,
curriculum
materials,
and
other
materials
to
be
produced
in
the
course
of
the
project
2.
the
standards
to
be
used
for
data
and
metadata
format
and
content
(where
existing
standards
are
absent
or
deemed
inadequate,
this
should
be
documented
along
with
any
proposed
solutions
or
remedies)
3.
policies
for
access
and
sharing
including
provisions
for
appropriate
protection
of
privacy,
confidentiality,
security,
intellectual
property,
or
other
rights
or
requirements
4.
policies
and
provisions
for
re-­‐use,
re-­‐distribution,
and
the
production
of
derivatives
5.
plans
for
archiving
data,
samples,
and
other
research
products,
and
for
preservation
of
access
to
them

32. Policies:
Challenges
&
Opportunities
• Lack
of
policies,
policy
guidance
• Scientists
want
HELP
• Need
a
trusted
source
to
provide
information
and
help
with
DMP
text
www.snccomputerrepair.com

33. Things
to
Consider…
• Different
types
of
data
– Models
|
Simulation
runs
|
Parameter
sets
– Software
|
Code
|
Requirements
|
Testing
– Images
|
Video
|
Audio
|
Specimens
– Calibrations
&
test
runs
– Intermediate
data
|
Primary
data
• Meta-­‐analysis
and
reuse

34. Different
Policy
Types
• Reuse
policies
• Sharing
policies
• Access
policies
• Archiving
policies
• Attribution/citation
policies
– attribution
stacking?
• Commercial
use
• …

35. Discussion
Points
• How
to
create
policies
that
will
be
domain-­‐
agnostic?
• Who
should
define
data
as
it
pertains
to
policies?
• How
to
centralize
policy
efforts
in
this
time
of
rapid
change?