Research Data Flow and Its Significance

Research Data Flow and
Why it Matters
Kendall Blaylock
To change the “University Unit Name Here,” 
you must modify the Master Slide. Go to your menu bar – select
 the 
View
 tab, in the 
Master Views 
group, click 
Slide Master.
You’ll be able to select the text and modify it then. Hit save 
and close out of Slide Master
Research Data
Every research project at MSU has some kind data
associated with it.
Types of data related to research at MSU.
Administrative data
Internal project data
Experimentation data
Publication data
Much more….
Data Flow
Sometimes required as part of a project proposal.
Range from very simple to extremely complex.
Include any regular data information for the project.
What is the data?
What is the category of the data?
Where will the data be stored?
How will the data be transferred?
Other?
Data Requirements
When documenting data flow, consider any specialized
data requirements.
Data handling requirements from the sponsor
Information Security requirements
Data retention requirements
Other
Scenario – Data Types
Proposal to create the perfect cowbell
Expected Project Data Types
Internal project management data (internal only)
Design and materials data (CUI)
Project reports (sensitive – limited dissemination)
Sponsor and internal team only
Publications (sensitive and public)
Scenario – Data Storage
Expected data storage
Specialized equipment storage
External USB drive
MSU network storage
MSU Team member workstations
Scenario – Data Transfer
Direct data transfer
Specialized equipment 

 USB storage
USB storage 

 Team Workstations
Remote data transfer
Team Workstation 

 Team Workstation (via MSU Office 365)
Team Workstation 

 MSU network storage
Team Workstations and MSU storage 

 Sponsor (via email)
Team Workstations and MSU storage 
 Sponsor (via sponsor portal)
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What if we upgrade to
Cowbell Test Robot 2.0?
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Benefits
Better project data awareness for all team members.
Consistent data practices across departments.
IT support knowledge of unique technology requirements
for a project.
Better strategy for technology implementation based on
data flow needs.
Enhanced regulatory compliance awareness,
documentation, and processes.
Improved disaster recovery for research at MSU.
Thank You
Kendall Blaylock
kendallb@hpc.msstate.edu
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Exploring the critical aspects of research data flow and its implications in academic projects, including types of data at MSU, data requirements, specialized data handling, and scenarios depicting data types, storage, and transfer protocols.

  • Research Data
  • Data Flow
  • Data Management
  • Academic Projects
  • Information Security

Uploaded on Sep 20, 2024 | 0 Views


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  1. Research Data Flow and Why it Matters Kendall Blaylock To change the University Unit Name Here, you must modify the Master Slide. Go to your menu bar select the View tab, in the Master Views group, click Slide Master. You ll be able to select the text and modify it then. Hit save and close out of Slide Master High Performance Computing Collaboratory

  2. Research Data Every research project at MSU has some kind data associated with it. Types of data related to research at MSU. Administrative data Internal project data Experimentation data Publication data Much more . High Performance Computing Collaboratory

  3. Data Flow Sometimes required as part of a project proposal. Range from very simple to extremely complex. Include any regular data information for the project. What is the data? What is the category of the data? Where will the data be stored? How will the data be transferred? Other? High Performance Computing Collaboratory

  4. Data Requirements When documenting data flow, consider any specialized data requirements. Data handling requirements from the sponsor Information Security requirements Data retention requirements Other High Performance Computing Collaboratory

  5. Scenario Data Types Proposal to create the perfect cowbell Expected Project Data Types Internal project management data (internal only) Design and materials data (CUI) Project reports (sensitive limited dissemination) Sponsor and internal team only Publications (sensitive and public) High Performance Computing Collaboratory

  6. Scenario Data Storage Expected data storage Specialized equipment storage External USB drive MSU network storage MSU Team member workstations High Performance Computing Collaboratory

  7. Scenario Data Transfer Direct data transfer Specialized equipment USB storage USB storage Team Workstations Remote data transfer Team Workstation Team Workstation (via MSU Office 365) Team Workstation MSU network storage Team Workstations and MSU storage Sponsor (via email) Team Workstations and MSU storage Sponsor (via sponsor portal) High Performance Computing Collaboratory

  8. High Performance Computing Collaboratory

  9. More Cowbell Inc. More Cowbell Inc. (Sponsor) (Sponsor) Cowbell Test Robot Cowbell Test Robot MSU Cowbell Lab MSU Cowbell Lab MSU Network Storage MSU Network Storage High Performance Computing Collaboratory

  10. More Cowbell Inc. More Cowbell Inc. (Sponsor) (Sponsor) Cowbell Test Robot Cowbell Test Robot MSU Cowbell Lab MSU Cowbell Lab MSU Network Storage MSU Network Storage Cowbell Cloud Co. Cowbell Cloud Co. What if we upgrade to Cowbell Test Robot 2.0? High Performance Computing Collaboratory

  11. Benefits Better project data awareness for all team members. Consistent data practices across departments. IT support knowledge of unique technology requirements for a project. Better strategy for technology implementation based on data flow needs. Enhanced regulatory compliance awareness, documentation, and processes. Improved disaster recovery for research at MSU. High Performance Computing Collaboratory

  12. Thank You Kendall Blaylock kendallb@hpc.msstate.edu High Performance Computing Collaboratory

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