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Suggested Citation:"5 Research Outputs." National Academies of Sciences, Engineering, and Medicine. 2020. Framework for Managing Data from Emerging Transportation Technologies to Support Decision-Making. Washington, DC: The National Academies Press. doi: 10.17226/25965.
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Page 75
Page 76
Suggested Citation:"5 Research Outputs." National Academies of Sciences, Engineering, and Medicine. 2020. Framework for Managing Data from Emerging Transportation Technologies to Support Decision-Making. Washington, DC: The National Academies Press. doi: 10.17226/25965.
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Page 76

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68 5 Research Outputs This section summarizes the outputs of this NCHRP 08-116 project – beyond those presented in this final research report – recommendations for future research and recommended next steps. 5.1 Research Outputs In addition to this final research report, other outputs of this research include: □ NCHRP Research Report 952: Guidebook for Managing Data from Emerging Technologies for Transportation – The guidebook corresponding to this research report builds off the challenges and needs presented in Chapter 4 and identified through surveys, document reviews, and conversations with a wide range of stakeholders implementing emerging technologies, working with third-party big data, and implementing big data systems. The guidebook expands on the differences between the traditional approach to data management and the modern, big data approach as a basis for positive change for transportation agencies to seek. The guidebook then presents a roadmap towards implementing these changes in a step-by-step, manageable fashion that seeks to gain buy-in across an organization. The guidance includes over 100 modern data best practices and recommendations across the data management lifecycle, answers to frequently asked questions, addresses common misconceptions, provides talking points, and includes a capability maturity self- assessment that will allow agencies to determine their current level and understand what steps need to be taken to go to the next level. □ Executive summary – The executive summary is meant to be a stand-alone document that summarizes the key points of the guidance and the steps in the big data roadmap. It should serve as a quick reference for agencies to turn to for information on the fundamental differences between traditional and modern data management. □ Briefing slides – The briefing slides are aimed at decision-makers and serve as a means to simply and concisely explain the importance and benefits of a big data management approach for managing data from emerging transportation technologies. □ Technical memorandum – The technical memorandum titled, “Implementation of Research Findings and Products,” describes the activities to promote application of the guidebook, roadmap, and data management framework, including the audience for the research products, impediments to successful implementation of the research products, and how these impediments might be countered/overcome, institutions and individuals who might be leaders in the application of the research products, activities necessary for successful implementation, and criteria or metrics for judging success. 5.2 Recommendations for Future Research This research provides a solid basis for the management of data from emerging technologies that is based on current industry best practices. Due to the nature of emerging technology, however, it is likely that new data sources, new data types, and new analysis techniques that are totally unknown or unforeseen today will become popularized in the very near future. This rapid rate of change creates an opportunity for further research to review any new data, technologies, and approaches being adopted and to adjust the guidance as needed to accommodate them.

69 It should be noted that NCHRP 08-119 Data Integration, Sharing, and Management for Transportation Planning and Traffic Operations is a relatively new project at the time of writing of this research report. It is a 3-year effort (through October 2022) with the objective of developing tools, methods, and guidance for improving data integration, sharing, and management practices to enable transportation agencies, in collaboration with private sector and public sector stakeholders, to make better planning and operations decisions. It includes a comprehensive literature review; interviews with a wide range of stakeholders regarding a representative set of operations and planning use cases (e.g., traffic incident management, integrated corridor management, transit, freight, regional plan modeling); documentation of best practices and lessons learned; and the development, testing, and deployment of products that address the barriers identified and improve agencies’ abilities to use new data approaches. A primary output of this project will be a centralized, functional, usable, searchable, relationally-linked resource library of relevant knowledge, use cases, data sets, tools, and products that fosters intra-organizational education, thought leadership, best practice propagation, discovery, modernization, adoption, implementation, and ongoing advancement of collective knowledge. As such, NCHRP 08-119 will be a natural follow-on to NCHRP 08-116, allowing for the development of additional guidance, tools, and products to overcome the barriers and address the needs identified in this research project. 5.3 Recommended Next Steps The recommended next steps of this research would be to pilot test the resulting guidebook and roadmap with one or more agencies embarking on or currently in the midst of working through the challenges associated with the management of big data from emerging technologies, third-party crowdsourced data, or other big data sources. A collaborative approach, where lessons learned by early adopters becomes a roadmap for other agencies to follow, has the potential to improve the ability to address transportation planning, operations, and policy questions critical to informed and effective decision-making at state and local agencies.

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The amount of data surrounding the application of emerging technologies is expanding, producing “big data” at magnitudes not previously seen. While a few agencies have found some success with individual projects, most are uncertain on how to handle this level of big data at an organizational level.

The TRB National Cooperative Highway Research Program's NCHRP Web-Only Document 282: Framework for Managing Data from Emerging Transportation Technologies to Support Decision-Making is designed to walk an agency through the process of developing the knowledge, environment, projects, and buy-in to move incrementally and iteratively from a traditional data management approach to establishing data management policies, procedures, technologies, and practices that fully meet the modern data management needs of an agency.

This document is supplemental material to NCHRP Research Report 952: Guidebook for Managing Data from Emerging Technologies for Transportation.

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