The document discusses the inadequacies in ecological data management education among undergraduates at top US institutions, identifying barriers to sharing data such as cost, confusion, and lack of training. It explores the role of libraries, data management plans, and possible solutions for improving data education and accessibility. The text emphasizes the importance of increasing public access to data, promoting proper education in data management, and supporting data deposition in repositories.

1. The
Fractured
Lab
Notebook
Undergraduates
are
not
learning
ecological
data
management
at
top
US
institutions
Carly
Strasser
|
@carlystrasser
California
Digital
Library
&
Stephanie
Hampton
National
Center
for
Ecological
Analysis
&
Synthesis
ESA
2013

2. Why
don’t
people
share
data?
Is
data
management
being
taught?
Do
attitudes
about
sharing
differ
among
disciplines?
What
role
can
libraries
play
in
data
education?
How
can
we
promote
storing
data
in
repositories?
What
barriers
to
sharing
can
we
eliminate?
NSF
funded
DataNet
Project
Office
of
Cyberinfrastructure

3. Back in the day…
Da
Vinci
Curie
Newton
classicalschool.blogspot.com
Darwin

4. Digital
data
From
Flickr
by
Flickmor
From
Flickr
by
US
Army
Environmental
Command
From
Flickr
by
DW0825
C.
Strasser
Courtesey
of
WHOI
From
Flickr
by
deltaMike

5. Digital
data
+
Complex
workflows

6. From
Flickr
by
~Minnea~
Data
management
Documentation
Reproducibility

7. THE
TRUTH
Data
management
Metadata
Data
repositories
Sharing
data
publicly
From
sandierpastures.com
YOU NEED TO
KNOW ABOUT

8. From
Flickr
by
hyperion327
From
Flickr
by
Redden-­‐McAllister

9. From
Flickr
by
iowa_spirit_walker
• Cost
• Confusion
about
standards
• Lack
of
training
• Fear
of
lost
rights
or
benefits
• No
incentives

10. Are
ecologists
Are
ecology
grad
students
Are
soon-­‐to-­‐be
ecology
grad
students
learning
about
data
management?

11. From
Flickr
by
hyperion327
~5,000

12. Research
Universities
Graduate
Research
Fellowships
2006-­‐2010
recipients
for
life
sciences
Baccalaureate/
Arts
&
Sciences
Institutions

13. Amherst
College
Bowdoin
College
Brown
University
Carleton
College
Colorado
College
Colorado
State
University
Columbia
University
Cornell
University
Dartmouth
College
Duke
University
Emory
University
Evergreen
State
College
Grinnell
College
Harvard
University
Indiana
University
(Bloomington)
Lewis
and
Clark
College
Michigan
State
University
Middlebury
College
Oberlin
College
Oregon
State
University
Princeton
University
Purdue
University
Rice
University
San
Diego
State
University
Stanford
University
Swarthmore
College
University
of
Arizona
UC
Berkeley
UC
Davis
UC
Irvine
UC
Riverside
UC
Santa
Barbara
UC
Santa
Cruz
University
of
Chicago
University
of
Colorado
University
of
Florida
University
of
Georgia
University
of
Idaho
University
of
Illinois
Urbana-­‐Champaign
University
of
Kansas
University
of
Maryland
University
of
Michigan
University
of
Minnesota
University
of
Montana
University
of
New
Mexico
University
of
Southern
California
University
of
Texas
Austin
Utah
State
University
Washington
University
in
St.
Louis
Williams
College
Yale
University
Research
University
BAS
Institution

14. Asked
ecology
instructors:
Institution?
Program?
Course?
Lab?
Students?
You?

15. 0%
20%
40%
60%
80%
100%
BAS
RU
Not
science
1-­‐2
yr
science
3-­‐4
yr
science
grad
Student
Makeup

16. 0
20
40
60
80
100
120
Notebook
required
NB
assessed
for
DM
Data
Used
Workflow
assessed
BAS
RU
Course
Characteristics

17. Quality
control
and
quality
assurance
The
proper
way
to
name
computer
files
Types
of
files
and
software
to
use
Metadata
generation
Protecting
data
Databases
and
data
archiving
Data
re-­‐use
Meta-­‐analysis
Data
sharing
Reproducibility
Notebook
protocols
(lab
or
field)
Workflows

18. 0
10
20
30
40
50
60
70
BAS
RU
In
Curriculum/Assessed?

19. 0%
20%
40%
60%
80%
100%
How
Important
Is
It?
Not
at
all
Extremely

20. 0
10
20
30
40
50
2.0
2.5
3.0
3.5
4.0
%
Courses
that
cover
topic
Average
importance

21. Why
Not?
%
with
response
0
10
20
30
40
50
60
70
Time
Not
appropriate
Covered
in
lab
Students
not
prepared
Funding
Class
too
big
Instructor
not
prepared
Covered
elsewhere

22. Solutions?
Make
time
Teach
thyself
Use
tools

23. From
Flickr
by
Joe
Crimmings
Photography
1. Maximize
free
public
access
2. Ensure
researchers
create
data
management
plans
3. Allow
costs
for
data
preservation
and
access
in
proposal
budgets
4. Ensure
evaluation
of
data
management
plan
merits
5. Ensure
researchers
comply
with
their
data
management
plans
6. Promote
data
deposition
into
public
repositories
7. Develop
approaches
for
identification
and
attribution
of
datasets
8. Educate
folks
about
data
stewardship

24. datapub.cdlib.org
Teach
Thyself

25. DCXL
blog:
dcxl.cdlib.org
carlystrasser.net
dataone.org
Teach
Thyself

26. Step-­‐by-­‐step
wizard
for
generating
DMP
Create
|
edit
|
re-­‐use
|
share
|
save
|
generate
Open
to
community
dmptool.org
Use
Tools

27. • Data
Education
Tutorials
• Database
of
best
practices
&
software
tools
• Primer
on
data
management
• Investigator
Toolkit
www.dataone.org
Use
Tools

28. • Best
practices
check
• Create
metadata
• Get
identifier
• Post
to
repository
dataup.cdlib.org
Use
Tools

29. carlystrasser.net

30. My
website
Email
me
Tweet
me
My
slides
carlystrasser.net
carlystrasser@gmail.com
@carlystrasser
slideshare.net/carlystrasser