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SPEC Kit 334: Research Data Management Services (July 2013)
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SPEC
Kit
334:
Research
Data
Management
Services
·
205
RDM
Staff
Resources
Previous Page
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Page 2
SPEC Kit 334 frontmatter
Page 9
Survey Results
click to expand contents
Page 9
Survey Results
Page 11
Executive Summary
Page 23
Survey Questions and Responses
Page 105
Responding Institutions
Page 107
Representative Documents
click to expand contents
Page 107
Representative Documents
Page 109
RDM Web Pages
click to expand contents
Page 109
RDM Web Pages
Page 110
University of California, San Diego
Page 111
Emory University
Page 112
University of Wisconsin-Madison
Page 113
IRs and Data Archives
click to expand contents
Page 113
IRs and Data Archives
Page 114
Columbia University
Page 115
University of Florida
Page 116
Harvard University
Page 117
University of Nebraska-Lincoln
Page 118
University of New Mexico
Page 119
University of Oregon
Page 120
Pennsylvania State University
Page 121
Purdue University
Page 122
University of Virginia
Page 123
Data Management Plan Tools
click to expand contents
Page 123
Data Management Plan Tools
Page 124
Indiana University
Page 128
Johns Hopkins University
Page 131
University of Minnesota
Page 134
University of North Carolina
Page 135
Job Descriptions
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Page 135
Job Descriptions
Page 136
Johns Hopkins University
Page 138
University of Maryland
Page 141
University of Ottawa
Page 144
Purdue University
Page 152
University of Tennessee
Page 154
University of Virginia
Page 155
Organization Charts
click to expand contents
Page 155
Organization Charts
Page 156
Brown University
Page 157
Cornell University
Page 158
Duke University
Page 159
Massachusetts Institute of Technology
Page 160
University of Rochester
Page 161
Research Data Policies
click to expand contents
Page 161
Research Data Policies
Page 162
University of Iowa
Page 164
Johns Hopkins University
Page 167
McGill University
Page 169
University of Tennessee
Page 173
Data Retention Policies
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Page 173
Data Retention Policies
Page 174
Duke University
Page 175
Emory University
Page 177
Johns Hopkins University
Page 178
Northwestern University
Page 182
University of Virginia
Page 183
University of Wisconsin – Madison
Page 187
Data Needs Assessment
click to expand contents
Page 187
Data Needs Assessment
Page 188
Cornell University
Page 197
Emory University
Page 198
Massachusetts Institute of Technology
Page 199
Purdue University
Page 200
University of Virginia
Page 205
RDM Staff Resources
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Page 205
RDM Staff Resources
Page 206
University of Florida
Page 207
Purdue University
Page 208
Yale University
Page 209
Outreach Materials
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Page 209
Outreach Materials
Page 210
University of Colorado at Boulder
Page 211
University of Florida
Page 212
Indiana University Bloomington
Page 213
Selected Resources
click to expand contents
Page 213
Selected Resources
Page 215
Research Data Management Services (RDMS) and the Library
Page 216
Supporting Data Management Planning
Page 216
Data Archiving
Page 217
Staffing and Staff Training
Page 218
RDMS Policies
Page 218
Scanning and Assessment of the Landscape for RDMS
Page 219
Key Papers in the Development of RDMS
Page 219
ARL/DLF/Duraspace eScience Institute
SPEC Kit 334: Research Data Management Services (July 2013) resources
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SPEC Kit 334: Research Data Management Services (July 2013) (220)
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Representative Documents (106)
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RDM Staff Resources (4)
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SPEC Kit 334: Research Data Management Services (July 2013) (220)
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Research Data Management Services frontmatter and Executive Summary (21)
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Survey Results (98)
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Representative Documents (106)
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RDM Web Pages (4)
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IRs and Data Archives (10)
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Data Management Plan Tools (12)
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Job Descriptions (20)
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Organization Charts (6)
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Research Data Policies (12)
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Data Retention Policies (14)
Download PDF
Data Needs Assessment (18)
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RDM Staff Resources (4)
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Outreach Materials (4)
Download PDF
Selected Resources (8)
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Data
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RDM
Staff
Resources
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SPEC Kit 334: Research Data Management Services (July 2013)
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·
Representative
Documents:
RDM
Staff
Resources
UNIVERSITY
OF
FLORIDA
Data
Management/Curation
Task
Force
http://cms.uflib.ufl.edu/datamgmt/index/DMCTaskforce.aspx
Smathers
Libraries
Site
Go
Data
Management
Planning
Storage,
Backup,
&
Security
Preservation
&
Data
Sharing
Copyright
&
Ethical
Use
of
Data
Frequently
Asked
Questions
(FAQ)
Workshops
&
Trainings
Speaker
Series
Data
Management
Task
Force
Smathers
Libraries
Home
Staff
web
Conduct
in
the
library
Contact
us
Privacy
policy
Staff
login
Send
suggestions
and
comments
to
the
library
web
manager.
©
2013
University
of
Florida
George
A.
Smathers
Libraries.
All
rights
reserved.
Terms
of
Use
for
Electronic
Resources
and
Copyright
Information
This
page
uses
Google
Analytics
-
(Google
Privacy
Policy)
Laurie
N.
Taylor
Digital
Humanities
Librarian
533
Library
West
Gainesville
FL
32611
Phone:
352.273.2902
Email:
laurien@ufl.edu
Data
Management/Curation
Task
Force
Please
see
the
charge
for
background
information
on
this
collaborative
Task
Force
with
the
UF
Libraries
and
UF
Research
Computing.
Task
Force
Charge
Email
List
Related
Wiki
UF
Research
Computing
Materials
for
our
work
(reports,
templates
for
presentations
and
group
discussions,
etc.)
Meetings:
Reminders
are
sent
on
the
email
list.
Meetings
are
every
other
Wednesday
from
1-2pm.
Locations
rotate:
Health
Science
Center
Library
C2-41,
Library
West
429,
and
Marston
Science
Library
L107.
Next
Meeting:
July
24,
1-2pm,
MSL
Overall
Activities
Description
of
Responsibilities
from
the
Charge
This
group
is
charged
to
assess
needs,
make
recommendations,
and
develop
support
for
the
role
of
the
Libraries
in
campus-wide
data
management
and
curation.
Specific
advisory
activities
include:
Formally
assess,
through
surveys,
interviews,
and
focus
groups,
campus-wide
data
management
needs
and
current
support
resources
and
activities
Review
and
consider
the
best
practices
and
models
of
peer
institutions
Develop
recommendations
for
the
Libraries’
campus-level
role
in
support
of
data
management
and
curation
Propose
a
corresponding
framework
and
resources
for
library
support
of
the
data
life
cycle
Recommend
the
role
of
the
institutional
repository
and
research
computing
in
storing,
finding,
and
accessing
working
and
final
data,
and
linking
publications
to
supporting
data
Recommend
a
framework
for
liaisons
and
subject
specialists
to
incorporate
data
instruction
and
consultation
into
their
workflows
Specific
operational
activities
include:
Develop
materials
and
sessions
for
training
of
liaisons,
subject
specialists,
and
other
library
staff
to
prepare
them
to
support
campus
data
management
services
Develop
training
and
outreach
materials
to
be
used
by
liaisons,
subject
specialists,
and
other
library
staff
in
their
work
with
clients
Develop
means
to
enhance
and
expand
the
librarian
liaison
model
with
the
goal
of
making
librarians
partners
in
research
activities
Develop
and
implement
templates
and
support
training
and
services
for
the
DMPTool
(Data
Management
Plan
Tool)
and
other
resources
Additional
goals
identified
by
the
group
(draft):
Ensure
that
the
recommendations
and
plans
resulting
from
the
group
both
support
immediate
campus
needs
and
support
ongoing,
long-term
needs
for
full
support
including,
but
not
limited
to:
Develop
and
promote
training
and
resources:
for
data
management/curation
related
concerns,
finding
data,
citing
data,
creating
data
management
plans,
and
implementing
data
management
Develop
and
submit
recommendations
for
a
full
approach
for
supporting
the
implementation
of
data
management
and
curation
across
campus,
for
collaborative
implementation
and
support
with
the
libraries,
Office
of
Research,
Research
Computing,
and
others
as
appropriate,
along
with
resources
and
requirements
for
the
recommendations
to
be
fully
operational
Current
Activities
and
Coordinator
SURA,
collaboration
on
pilot
test
for
Dataverse
Network
(Laurie,
all)
DMP
Tool,
customization
for
UF
resources
(Val)
Survey
(Hannah
and
Rolando)
Focus
Groups
(all)
Sharing
and
promoting
activities
(all)
Coordinating
existing
training
activities
related
to
data
management
(all)
Including
training
by
Research
Computing,
Libraries
(ICPSR,
Census
and
Gov
Data,
Best
Practices
in
Research
Data
Management
at
HSCL,
HSCL
specific
classes,
etc.),
and
others
Coordinating
and
promoting
speakers
and
events
related
to
data
management
(all)
Integrating
resources
within
a
single
consolidated
portal
for
all
users,
with
the
Research
Data
Management
LibGuide
Draft
timeline
for
current
activities
in
the
meeting
agendas
and
reports:
http://ufdc.ufl.edu/AA00014835/00001/allvolumes
7/22/13
1:09
PM
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Representative
Documents:
Data
Needs
Assessment
UNIVERSITY
OF
VIRGINIA
Data
Interview
Protocol
http://dmconsult.library.virginia.edu/SciDaC/files/2013/04/Data-Interview-Protocol.docx
S
c
i
e
n
t
i
f
i
c
D
a
t
a
C
o
n
s
u
l
t
i
n
g
G
r
o
u
p
(
S
c
i
D
a
C
)/
F
e
b
r
u
a
r
y
2
0
1
2
Copyright
(c)
2012
by
UVa
Library.
This
work
is
made
available
under
the
terms
of
the
Creative
Commons
Attribution-‐ShareAlike
3.0
license,
http://creativecommons.org/licenses/by-‐sa/3.0/.
©
2012
by
the
Rector
and
Visitors
of
the
University
of
Virginia
Page
5
Data
Interview
Protocol
Follow-‐Up
Plans
Review
the
steps
that
will
come
after
the
interview
is
complete
(Script
for
interview
is
included
below).
7.1
Team
combines
interview
notes.
7.2
Send
aggregated
report
to
researcher
for
review/approval,
corrections/additions
on
notes.
To
expediate
things
we
need
the
approval/feedback
back
within
one
week.
7.3
Ask
for
feedback
for
interview
process.
7.4
Provide
a
complete
report
that
includes
a
summary
of
the
conversation,
responses
to
the
interview
questions,
and
recommendations
on
how
to
improve
your
data
management.
Script
from
the
Data
Interview
Template
(for
this
section):
Thank
you
for
participating
in
our
Data
Interview.
Here
are
our
next
steps:
7.1
Andrew,
Sherry
and
I
will
combine
our
interview
notes.
7.2
I
will
send
you
an
aggregated
report
for
your
review/approval,
corrections/additions
on
our
notes.
Please
return
the
approval/feedback
within
one
week.
7.3
When
you
send
the
report
back
to
us,
we
would
like
to
have
your
feedback
on
our
interview
process.
7.4
Once
we
have
your
comments
on
the
report.
I
will
provide
you
with
a
complete
report
that
will
include
a
summary
of
the
conversation,
responses
to
the
interview
questions,
and
recommendations
on
how
to
improve
your
data
management.
Previous Page
Next Page
SPEC Kit 334: Research Data Management Services (July 2013) resources
Download PDF
SPEC Kit 334: Research Data Management Services (July 2013) (220)
Download PDF
Representative Documents (106)
Download PDF
Data Needs Assessment (18)
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Contents
Resources
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