Responsible Conduct of Research Training, SPEC Kit 336 (September 2013)

Leonard, Michelle; Bennett, Denise Beaubien

SPEC Kit 336: Responsible Conduct of Research Training · 103
Data Management

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SPEC Kit 336: Responsible Conduct of Research Training · 103
Data Management

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104 · Representative Documents: Data Management
DUKE UNIVERSITY
Data Management Guide
http://library.duke.edu/data/guides/data-management/
Data Management Guide
http://library.duke.edu/data/guides/data-management/[8/19/13 10:58:48 AM]
Hours |Directions |About |Staff
Duke Libraries Data and GIS Services Guides Data Management
Data Management Guide
Alumni Portal |Divinity School Library |Ford Library |Goodson Law Library |Library Service Center |Lilly Library |Marine Lab Library |Medical Center Library
|Mobile |Music Library |Perkins/Bostock Library |Rubenstein Library |The Link
DATA &GIS HOME COLLECTIONS GUIDES ABOUT US NEWS &EVENTS
Writing a data plan
Why do I need a data management plan?
Duke policies related to data management,
sharing, and retention
Funding agency policies related to data
management, sharing, and retention
Details on the NSF data management plan
requirements
Sample plans/templates
Duke-specific guidance on writing a data
plan for NSF (PDF document)
DMPTool -data management planning toolkit
from the California Digital Library
ICPSR Sample Data Management Plan
Managing your data
The data management process -thinking it
through from beginning to end of your project
life-cycle
Storage and backup -please ask your IT
provider to contact askdata@duke.edu to
discuss how to include appropriate data
management practices into planning for data
storage and backup.
Metadata -describing your data to facilitate
later use
Data archiving and preservation -making sure
your data is around for a long time
Sharing your data
Data repositories -places to deposit and
share your data
Licensing and intellectual property -how may
others use your data?
Data citation -getting credit for what you've
shared, and giving credit to others for what
you've used
Get help at Duke
This web site will help get you started with
information on effective management of data you are
creating through your research, including developing
a data management plan for your grant or project
proposal, archiving data at the end of your project,
and sharing data with other researchers as
appropriate.
If you're a member of the Duke community, Library
Data and GIS Services is available to help you with
your data management planning. Contact
askdata@duke.edu or see our walk-in consulting
schedule. We can advise you and connect you with
others who may be able to provide the support you
need to execute your data management plans.
Other sources of help at Duke related to data
management are also available.
Data management guidance
elsewhere
Some sources of guidance on data management from
other universities:
University of Wisconsin-Madison Research Data
Services
University of Virginia Scientific Data Consulting
Group
MIT Data Management and Publishing
ICPSR Guidelines for Effective Data Management
Plans
Online course on data management from the EDINA
National Academic Data Centre in the UK
Why manage and share your
data?
Funding Agency Requirements
Many funding agencies require data management
plans for different reasons. Tailor your plan to the
goals and requirements of the funding agency.
Funders typically ask how you will:
Protect confidentiality, consent, and safety of
research subjects
Promote data sharing and transparency
Supports efforts to verify and replicate
research findings
Transparency and Replication of Research
Findings
Replication relies on clear documentation of
data and changes used in analyses
Reuse of data for new applications is common
in most disciplines
Requests for data may follow from publication
of results, and advance preparation simplifies
the response process
Data Preservation and Annotation
Documentation of data items and structure at
the time of compilation reduces the time
needed to understand data organization and
contents should the data be needed in future
Duke requires the retention of research data
and pertinent notes for at least 5 years after
completion of a project
Early attention to data documentation and
preservation plans reduces the effort required
to transition to permanent storage
Changes in research staff impact the
progression of a research project to a lesser
extent with clear documentation and planning
Preservation in a data repository provides an
additional backup for your research data
Citations and Recognition
Data repositories provide another route to the
discovery of your research and can increase
the visibility of your work, especially when
used widely

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SPEC Kit 336: Responsible Conduct of Research Training (September 2013) resources

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Page 11Survey Results click to expand contents

Page 45Representative Documents click to expand contents

Page 47Responsible Conduct of Research Overview click to expand contents

Page 57Citation Management click to expand contents

Page 81Academic Integrity & Plagiarism click to expand contents

Page 97Copyright and Intellectual Property click to expand contents

Page 103Data Management click to expand contents

Page 113Animal Subjects click to expand contents

Page 115Peer Review click to expand contents

Page 117Workshops and Tutorials click to expand contents

Page 145Selected Resources click to expand contents

SPEC Kit 336: Responsible Conduct of Research Training (September 2013) resources

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