Global web ALERT button

Issues, Methods, and Opportunities in Data Sharing

 Click the arrow at the bottom of the video to navigate between topics or click to view the video in a new window.

Notes

Recorded at the AOTA 2016 Pre-Conference Institute on Large Data and Data Sharing Research on April 6th, 2016. Ken Ottenbacher, PhD, OTR, and colleagues offered a pre-conference institute co-sponsored by The American Occupational Therapy Foundation (AOTF) and American Occupational Therapy Association (AOTA) at AOTA's national conference.

This institute provided an overview of research studies conducted using Medicare claims and other large datasets in the context of post-acute care settings (inpatient rehabilitation facility, skilled nursing facility, and home health agency). Topics include the availability of large datasets for disability, rehabilitation, and occupational therapy research and new federal initiative related to data sharing. 

Learning Module Notes Modules

  1. Introduction (0:00 - 4:15)
    • Intro: Large data research
    • Challenges & Opportunities
    • Resources – CLDR
    • Questions
  2. Big Data vs. Large Data (4:15 – 6:32) 
  3. The Challenges of Big Data (6:32 – 7:55) 
  4. The Opportunities of Big Data (7:55 – 11:45) 
  5. NIH Big Data to Knowledge (11:45 – 15:01)      
    • Initiative by NIH to develop skills in big data research
    • Characteristics of Big Data (in terms of NIH’s definition of big data)
  6. Large Data vs Big Data (15:01 – 16:33)      
    • large data with secondary data analysis – an important distinction
  7. Resources Overview: CLDR: Center for Large Data Research & Data Sharing in Rehab (4 min) (16:33 – 20:55)      
    • Education & Training
    • Data directories
    • Data archiving & Sharing program
    • Pilot Projects
    • Visiting Scholars Program
    • Data Archiving & Sharing Program
  8. Resources: Education & Training (20:55 – 23:09)      
    • TBI Model Systems User’s Guide
  9. Resources: Data Directory (23:09 – 24:41) 
  10. Resources: Pilot Projects (24:41 – 30:07)      
    • PCORI  
    • Up to $25,000 grant, working with a consortium affiliate  
    • Data Sharing Pilot Projects – request $ to archive data from a completed study
  11. Resources: Visiting Scholars Program (30:07 – 33:29)            
    • Invite people interested in a specific aspect of large data research to work with a consortium member 
    • Travel costs & lodging covered
    • Combo: pilot project & visiting scholars
  12. Resources: Data Sharing & Archiving (33:29 – 37:50)      
    • NIH mandate in 2013: plans to archive data
    • IOM Report
    • Examples: DASH by CICHD, FITBIR currently not all that user friendly, ICPSR goal is keeping data user friendly & available
  13. Closing Remarks (37:50-39:30) 
  Learning Modules