This research is pertinent for several reasons. Agencies manage more data due to the advent of new technologies and are harnessing a new ecosystem of tools to analyze the ever-increasing size of datasets. However, data processing, exploration, developing performance metrics, and communicating decisions are often scattered across many departments. Additionally, existing policies and processes often lack cohesion within their existing agencies.
Information to be gathered shall include (not an exhaustive list):
· Staffing and organizational structures related to data analysis
· Data management policies and processes
· Partnerships with external organizations (e.g. universities, consultants, etc.)
· Internal sharing and communicating data resources
· Storage and access of data
Information will be gathered by:
· a literature review or summary of relevant research information
· a survey on a broad range of North American transit agencies including
o variety of agency sizes
o single mode and multimodal
o some with contracted services
o variety of institutional structures (city, state, multi-jurisdictional, etc.)
· case examples that will gather information on the state-of-the-practice, emphasizing lessons learned, tools use, challenges, and gaps. At least one of the five (5) case examples should include the impacts of data governance on operational performance.
The need for future research and gaps in information shall also be included in the study.