Each RN listed in Table 3 is described below.
Understand the role of KM in fostering advancements within specific DOT business functions. Provide an in-depth, “on the ground” understanding of current processes for knowledge creation, sharing, and application as part of different DOT business areas (e.g., safety, asset management, resilience planning, system operations) and situations (e.g., response to new legislative mandates; new technology adoption). Use results to inform development of a KM implementation framework and tailored guidance on KM implementation for different DOT functions.
Understand inefficiencies and costs associated with current information discovery practices at different transportation agencies. Document the amount of time spent by DOT employees
to find information needed to perform their jobs. Characterize current workforce capabilities related to searching for and critically assessing information that is found. Use results to inform development of guidance on a holistic approach to IKM.
Understand the role of culture and KM processes in introducing changes in changing established ways of doing things. Identify positive and negative factors influencing DOT adoption of new processes or approaches that have substantially changed established ways of doing things. Draw from examples including introduction of asset management, performance management, system operations, context-sensitive design, automated construction, and system operations. Use results to better understand the cultural and organizational factors contributing to positive change.
Understand the role of KM processes in facilitating DOT innovation. Using a case study approach of successful innovations, document specific processes used for knowledge discovery, creation, sharing, transfer, and application. Identify areas where KM practices could be used to support the innovation process.
Understand the influence of agency culture on learning and collaboration at DOTs. Develop guidance on the facets of culture, techniques for identifying cultures within a transportation agency, assessing cultural barriers to learning and knowledge transfer, and effective practices to build organizational culture(s) conducive to collaboration, learning, and innovation.
Identify an efficient, non-duplicative and sustainable way to share documented KM practices and related resources. Develop a sustainable model to enable KM case studies, practice examples and tools/templates created through research and individual transportation agencies to be shared. The model should consider the technology (e.g., portal), stewardship and funding, as well as how to motivate and sustain engagement.
Document KM practices at DOTs so that others can learn from this experience. Curate and share a compendium of current DOT practices for cross-functional collaboration; managing
policies, procedures, and guidance; and knowledge sharing platforms (wikis, websites, content management systems, etc.).
Provide operational guidance for integrating KM within a transportation agency. Provide a framework integrating KM practices within DOT business processes that is adaptable to different DOTs. Build on and extend existing transportation KM guidance and include coverage of:
Provide practical resources that DOT KM leads and managers can use to implement specific KM techniques. Develop step-by-step guidance for operationalizing and integrating KM practices. Potential topics/plays include:
Educate DOT employees on individual KM practices. Create a model manual that could be adapted by state DOTs to provide guidance for their employees on how/where to seek information and advice, expectations for maintaining documentation related to their job and completed projects, and expectations for sharing their knowledge with others. Include sample desk references to support standardization, handoffs, and knowledge transfer. Note that this is not duplicative of the RN to create a DOT KM Manual, which provides more general guidance to transportation agencies on KM implementation. This RN is intended to provide a template that individual agencies can use to create specific guidance for their employees.
Educate managers of specific DOT functional units on how to apply KM practices to support their objectives. Develop a series of brief KM guidance documents geared to different DOT modes and functions such as safety management, system operations, and construction. These documents would cover targeted KM techniques that can be applied within each functional area to improve efficiency and effectiveness.
Educate HR leads at DOTs about KM practices. Develop tailored guidance on KM for HR functional leads, covering KM techniques to be applied at different stages of the employee life cycle: recruiting, onboarding, mid-career, late career, and off-boarding.
Identify ways that DOTs can connect their existing separate information management functions to improve efficiency and effectiveness. Develop a model for a coordinated approach to managing and governing different types and sources of data and information at a DOT. Identify and describe points of connection and potential synergy with respect to management of data, records, and content. Provide guidance for DOTs on organizational approaches to implementing this model. Cover key challenges and how to tackle them. Describe benefits to information findability and efficiency.
Facilitate KM implementation/integration at DOTs by providing a standard model to follow. Develop a model knowledge architecture that can be adapted by individual DOTs. Describe how this architecture might fit with a DOT’s enterprise architecture-related practices. The knowledge architecture would provide a framework that DOTs could use to define processes, roles, responsibilities, interdependencies, and technologies to address knowledge gaps resulting from workforce transitions or changing requirements. The architecture would also help DOTs to better understand how different roles within the organization (HR, IT, information management, performance management, project management, change management, innovation, etc.) need to be coordinated to maximize KM effectiveness. The architecture should support both a top-down KM model with a formal program and one that is more integrated within existing DOT functions.
Identify a range of methods and technologies that DOTs can implement to share knowledge assets. Create guidance for DOTs on platforms and processes for sharing key knowledge assets such as policies and procedures, manuals, lessons learned, and contact information. Cover models for how to organize and package content/knowledge assets so that they are easily consumable and suited to different learning styles. Include a range of examples from both DOTs and other organizations representing different levels of sophistication and implementation costs.
Identify KM practices that can support DOT efforts to increase resilience. Use current DOT efforts to integrate consideration of resilience into planning, program and project development, maintenance and operations to highlight the role of culture and KM processes in facilitating necessary changes to practices. Create guidance for DOTs on KM practices that can be used to support the agency’s effort to improve resilience. Include strategies for capturing and sharing both internal and external sources of knowledge and information for this rapidly developing area – including ways to tap into knowledge of field personnel about areas of vulnerability.
Advance DOT capabilities to foster knowledge exchange between employees working across different parts of the agency. Create guidance for DOTs on creating and maintaining employee expertise directories. Cover ways to build on common existing DOT mail and calendaring systems. Suggest ways of specifying and categorizing areas of expertise. Identify sustainable practices for populating and keeping information updated as employee turnover occurs and as employees develop new skills.
Help DOTs to expand use and effectiveness of collaborative efforts that take advantage of diverse employee perspectives, skills, and experiences. Explore the motivations for collaboration within DOTs and identify barriers. Create guidance for DOTs on ways to strengthen cross-functional collaboration to improve consistency and predictability of business processes and foster process improvements reflecting multiple perspectives. Include documented examples of successful short term and longer-term collaborations.
Increase DOT manager awareness of ways to support their employees in tackling complex problems not amenable to conventional solutions. Some problems or challenges are complex in nature - cause and effect relationships are not established, and the best course of action cannot be identified in advance. These types of problems need to be tackled through supporting “emergent practices” in which employees respond to situations and find solutions incrementally and organically rather than by following prescribed or pre-planned rules. Develop guidance for DOT
senior managers on recognizing complex problems that will not lend themselves to conventional approaches and fostering an environment conducive to emergent practices.
Identify change management strategies that DOTs can use to overcome cultural barriers to knowledge sharing. Develop a model change management plan and implementation guidance for KM covering how to identify and address different types of resistance. Discuss desirable qualities for a champion and change agent.
Provide a standard method for DOTs to assess the maturity of their KM practices and benchmark themselves against peer agencies. Review existing KM maturity models and create/adapt a model that is tailored to state DOTs.
Provide an easy-to-use KM maturity assessment tool that DOTs can apply. Create a KM Maturity Assessment Tool that enables DOTs to (1) identify gaps and communicate these gaps to agency leaders, (2) identify specific KM initiatives that can close the gaps, and (3) benchmark practices against peer agencies.
Provide an easy-to-use risk assessment tool to help agencies target KM activities. Develop an expanded version of the “KM Litmus Test” included in the existing NCHRP KM Guide (NCHRP Report 813) enabling state DOTs to identify and mitigate specific risks related to loss of institutional knowledge and ability to deliver on agency commitments and goals. Suggest approaches to integrate KM risk assessment into agency risk assessment practices.
Provide an easy-to-use tool that DOT business unit managers can use to identify barriers to knowledge sharing and learning within their units. Identify, and as needed, adapt a tool that can be used to assess the “cultural health” of a DOT business unit with respect to knowledge sharing and receptivity to learning and change. Demonstrate application of this tool within several different types of units.
Provide tools that DOTs can use to identify and track sources of critical knowledge. Develop a primer including reusable templates for DOTs to identify and map critical knowledge relevant to particular business functions and processes. Create sample knowledge maps that show an employee within a particular unit what they need to know and what the key sources of knowledge and information are.
Provide tools that DOTs can use to map employee communication and knowledge sharing patterns and identify how to mitigate risks and enhance knowledge flows. Develop a primer including reusable templates for conducting social network analysis within a DOT setting. Cover: defining goals, anticipating how results will be used, scoping the analysis, data gathering methods, tools for managing and displaying the resulting information, and approaches to communicating results. Include several example applications to illustrate the guidance.
Support DOT efforts to build internal understanding of and support for KM initiatives. Develop a variety of materials (slide decks, fact sheets, videos) that DOTs can adapt for use in communicating the purpose and value of KM to both executive and technical audiences. Include how to target groups for communication; identify and develop key messages; establish personas; communicate the complexity, dynamism, and value of KM; promote engagement and accountability; and communicate at different stages of KM maturity.
Implement an efficient, non-duplicative and sustainable way to share documented KM practices and related resources. Develop a KM toolkit with a variety of resources that DOTs can draw upon to implement KM practices. Recommend a stewardship approach to update the toolkit on a continual basis as new resources are developed through research and practice.
Advance DOT practices for delivering relevant, actionable information to employees when they need it. Explore how the MITRE Anticipatory Knowledge System might be adapted for use for a state DOT. For different employee types/roles, and milestones, define types and sources of information that would be needed. Create model requirements that could be used by DOTs or their partners to implement the system.
Understand applications, benefits, and limitations of available and emerging AI applications (including large language models and generative AI) for KM. Identify existing and future potential promising applications of AI for supporting knowledge creation, sharing, discovery, and exploration in a transportation agency setting. Characterize each application with respect to potential value, level of maturity or readiness, methodologies, data requirements, level of expertise required for development and key challenges or cautions to be aware of. Identify opportunities for creating models or tools that could be used to advance application of promising applications at multiple agencies.
Advance techniques for formal representation of concepts and relationships that provide the foundation for improving knowledge discovery and delivery. Explore existing and future potential promising applications of knowledge representation techniques, including thesauri, ontologies, and knowledge graphs within the transportation domain. Document how these techniques are currently used and their benefits. Based on models from other fields (e.g., medicine), suggest specific pilot projects that can be undertaken to further develop the most promising applications and demonstrate their value.
Advance techniques for knowledge discovery at transportation agencies. This research should consider techniques including auto-classification, semantic search, intelligent agents/automated assistants, chatbots and interactive tools for knowledge exploration. Applications for internal use (e.g., employees searching for a solution to a problem) as well as external use (e.g., responding to public inquiries) should be considered.
Raise awareness and understanding of KM among transportation agency leaders. Convene agency leaders to share information about practices that can be used to address current workforce concerns and support innovation. Produce videos and a report to share results.
Support awareness of KM research findings and adoption of successful KM practices. Organize a series of (quarterly) virtual and (annual) in-person peer exchanges to enable KM leads and potential KM leads to discuss successes, challenges and opportunities for collaboration.
Support implementation of research providing guidance on a holistic approach to IKM. Engage with a group of DOTs to walk through the guidance and identify specific strategies that the DOT can take to build connections across existing disparate IKM functions and processes.
Demonstrate practical applications of knowledge representation methods. Work with a set of volunteer agencies to support pilot projects demonstrating advances in knowledge representation methods. Document their results and suggest ways to facilitate adoption of the most successful pilot techniques.
Demonstrate practical applications of AI applications for knowledge discovery. Work with a set of volunteer agencies to support pilot projects demonstrating AI applications for knowledge discovery and delivery. Document their results and suggest ways to facilitate adoption of the most successful pilot techniques.
Support Implementation of Research on Improving Learning Cultures. Work with a group of DOTs to support implementation of learning culture assessment and improvement guidance, based on the results of a prior NCHRP project.
Demonstrate the AKS concept with one or more DOTs. Work with a set of volunteer agencies to support pilot projects demonstrating creation of an AKS. Document their results and suggest ways to facilitate adoption of the most successful pilot techniques.