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Best Practices for Effectively Training Research Staff: Research Peer Exchange Report November 16-19, 2020

File Language:
English


Filetype [PDF - 19.20 MB]

Details

  • Corporate Creators:
    Georgia. Department of Transportation. Office of Performance-Based Management & Research
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Georgia ; United States
  • Corporate Publisher:
    Georgia. Department of Transportation. Office of Performance-Based Management & Research
  • Abstract:
    This Georgia Department of Transportation (GDOT) virtual peer exchange was conducted around the topic of research staff training and skillsets. This report highlights the objectives of the peer exchange, the participating panelists, and individual agencies’ program overview and training practices, and key takeaways from each. An analysis of the training activities summarizing the overall best practices as well as a SWOT Analysis (strengths, weaknesses, opportunities, and threats) are included in the report. The scope of the peer exchange covered the following objectives: (1) Internal/external training of newly recruited research staff. This is an opportunity to provide feedback to GDOT on the existing procedure while sharing best practices, strategies, and avenues for enhancing the new hires’ onboarding experience. (2) Internal/external training of existing research staff. This is an opportunity for research peers to share best practices, strategies, and avenues for offering knowledge growth. (3) Assessment of the skillsets trainings needed for adequately managing the program. Participants included representatives from the Transportation Research Board/National Cooperative Highway Research Program (TRB/NCHRP) and Florida, Louisiana, Mississippi, Montana, Ohio, and Tennessee state departments of transportation.
  • Format:
    PDF
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/58649/dot_58649_DS1.pdf
  • File Type:
    Filetype[PDF - 19.20 MB]
  • Collection(s):
    US Transportation Collection
  • Main Document Checksum:
    urn:sha256:52939fa70b601a348d7ffe6adc1f5c0f73e71889b22bfe3debe1c15037c190c8
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