SPEC Kit 336: Responsible Conduct of Research Training · 109
TEXAS A&M UNIVERSITY
Research Data Management
http://guides.library.tamu.edu/DataManagement
Data Management Defined -Research Data Management -Guides at Texas A&M University
http://guides.library.tamu.edu/DataManagement[8/19/13 11:42:32 AM]
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Data Management
Defined
Data Management
Planning
DMP Tool Metadata Data
Repositories
Additional Resources Texas A&M University
Research Data Taskforce
This Guide is for you....
if you've ever ....
Wanted to store your
research data safely and
securely on a trusted
server
Needed to comply with a
funding agency's
requirements for a Data
Management Plan
Wished to link your
research data to your
research articles
Wondered how to make
sure your research data
can be reused over time
Looked for available data
on a given topic, time
period or geographic
location
Data Management Support at
the Texas A&M Libraries
The University Libraries offer a
variety of services to support
data management efforts by
Texas A&M researchers:
Raising awareness of best
practices in data
management and data
managment planning
Collecting examples of
"successful" data
management plans
submitted with funded
proposals
Consulting with
researchers on existing
metadata formats and
controlled vocabularies
that can be used to
document data for a
particular project
Assisting in finding data
repositories where Texas
A&M researchers may
submit, share and
preserve their data
Raising awareness of data
preservation issues
We invite you to explore the
pages of this LibGuide and let us
What Is Data Management?
In the context of research and scholarship, "Data Management" refers to the
storage, access and preservation of data produced from a given investigation.
Data managment is practices through the entire lifecycle of the data, from
planning the investigation to conducting it, and from backing up data as it is
created and used to long term preservation of data deliverables after the
research investigation has concluded.
Specific activities and issues that fall within the category of Data Management
include:
File naming: the proper way to name computer files
Data quality control and quality assurance
Data access
Data documentation (including levels of uncertainty)
Metadata creation and controlled vocabularies
Data storage
Data archiving &preservation
Data sharing and re-use
Data integrity
Data security
Data privacy
Data rights
Notebook protocols (lab or field)
Why Bother with Data Management?
Data Management is useful to investigators because it helps to
Organize data
Store and backup data
Take care of data so it is readily available for ongoing use
Preserve data for future re-use
Share data with colleagues
Comply with university rules and protocols for research integrity
Comply with funder requirements
Who Is Responsible for Data Management?
Data management is commonly a shared responsibility
Researchers generally have a high level of expertise in handling and
manipulating datasets
Data scientists may work closely with dataset creators to manipulate,
visualize and analyze the data
Data managers steward the dataset through its life cycle to ensure its
usefulness and fitness for re-use both during and after a given research
project is concluded.
Data managers may be investigators, research assistants, graduate students,
information technology specialists, informaticists, research librarians, or some
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Digital Services and
Scholarly Communication
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University Libraries » Guides » Research Data Management
Research Data Management
This guide covers principles of data management and data management planning, along with summaries of various agency requirements, links to example data
management plans, and pointers to the best tools and resources around.
Last Updated: Jul 24, 2013 URL: http://guides.library.tamu.edu/DataManagement Print Guide RSS Updates
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