The National Academies Press

Currently Skimming:

Pages 62-89

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.

From page 62... ... 62 A P P E N D I X C Data Management Assessment Elements Element 1: Data Strategy and Governance 1.1 Strategy and Direcon Leadership commitment and strategic planning to maximize value of data to meet agency goals Level 1 Agency-Wide: Data collecon and management is performed by individual business units with lile or no agency-wide direcon or coordinaon. Data improvements are not systemacally or regularly idenfied -- they are implemented reacvely or opportuniscally. Read the entire page →
From page 63... ... Data Management Assessment Elements 63 Element Description This sub-element looks at the extent to which the agency leadership or data program manager has demonstrated a commitment to managing data as a strategic asset -- through establishment of data governance structures, communications, and planning activities to ensure alignment between data investments and business needs. Support for the AASHTO Data Principles The following boxes show how the data management assessment elements tie to the AASHTO data principles. Read the entire page →
From page 64... ... 64 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element 1: Data Strategy and Governance 1.2 Roles and Accountability Clear roles, accountability, and decision-making authority for data quality, value. and appropriate use Level 1 Agency-Wide and Program Specific: Accountability for the quality, value, and appropriate use of data has not been clearly established. Read the entire page →
From page 65... ... Data Management Assessment Elements 65 Element Description This sub-element assesses the extent to which roles and accountability for data stewardship have been agreed-upon, defined, documented, and assigned to individuals. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, there is a lack of clarity about who "owns" data and who is accountable for making sure that data meets business needs. Read the entire page →
From page 66... ... 66 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element 1: Data Strategy and Governance 1.3 Policies and Procedures Adop on of principles, policies, and business processes for managing data as a strategic agency asset Level 1 No formal policies and procedures have been defined. Level 2 Execuve leadership has endorsed basic data principles. Read the entire page →
From page 67... ... Data Management Assessment Elements 67 Element 1: Data Strategy and Governance 1.4 Data Asset Inventory and Value Tracking of agency data assets and their value added Level 1 Agency-Wide: There are no inventories of available data sets. There is limited awareness of how data sets are used and what value is being provided. Read the entire page →
From page 68... ... 68 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Benefits of Moving Up the Maturity Scale At lower levels of maturity, information about data and its uses resides in the heads of a few staff members -- nothing is written down. As agencies move up the maturity scale, they consistently document their data sets and track how data sets are used. Read the entire page →
From page 69... ... Data Management Assessment Elements 69 Relevant Improvement Actions  Data Communities of Interest Element 1: Data Strategy and Governance 1.6 Data Management Sustainability Con nuity of data management knowledge and exper se through staff transi ons Level 1 Agency-Wide and Program Specific: Risks and needs associated with data management knowledge and core competencies are not well understood. Level 2 Agency-Wide and Program Specific: There is some understanding of risks associated with rerement of key individuals with specialized knowledge of data systems -- but these risks have not been systemacally idenfied. Read the entire page →
From page 70... ... 70 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Relevant Improvement Actions  Succession Planning and Management  Core Competency Definition Element 2: Data Life Cycle Management 2.1 Data Updang Well-defined and coordinated data update cycles Level 1 Agency-Wide and Program Specific: Data updang cycles and business rules for data updates have not been defined. Level 2 Agency-Wide and Program Specific: Updang cycles have been established but have not been documented. Read the entire page →
From page 71... ... Data Management Assessment Elements 71 Element 2: Data Life Cycle Management 2.2 Data Access Control Well-defined policies and guidelines for managing access to data sets Level 1 Agency-Wide and Program Specific: There are no established policies for determining if access to data sets should be limited. Level 2 Agency-Wide and Program Specific: A process of defining what data is sensive and needs to be protected is underway. Read the entire page →
From page 72... ... 72 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element 2: Data Life Cycle Management 2.3 Data Findability and Documentaon Availability of data catalogs and diconaries that enable discovery and understanding of available agency data assets Level 1 Agency-Wide and Program Specific: Users rely on "word of mouth" to discover what data is available. There are variaons across data sets in terms of the level and type of available documentaon. Read the entire page →
From page 73... ... Data Management Assessment Elements 73 Element Description This sub-element assesses the extent to which the agency ensures that potential data users can discover what data is available and understand the potential applicability of a data set for a given business need. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, data sets are discovered primarily by word of mouth. Read the entire page →
From page 74... ... 74 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element Description This sub-element assesses the extent to which active data sets are backed up and inactive data sets are archived for future use as needed. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, backups and archiving are performed ad hoc. Read the entire page →
From page 75... ... Data Management Assessment Elements 75 Relevant Improvement Actions  Data Governance and Stewardship Policies  Data Retention Schedules and Archiving Element 2: Data Life Cycle Management 2.5 Data Change Management Processes to minimize unan cipated downstream effects of data changes. Level 1 Agency-Wide and Program Specific: There are no defined processes for analyzing how changes to the data structure in one system may affect reports or other dependent systems. Read the entire page →
From page 76... ... 76 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide discovered only when downstream applications or reports stop working as a result of the changes made. As agencies move up the maturity scale, an active approach is in place for anticipating downstream effects of changes, communicating with the data stewards of these downstream systems, and implementing changes in a controlled, automated, and coordinated manner. Read the entire page →
From page 77... ... Data Management Assessment Elements 77 Element Description This sub-element assesses the extent to which data is delivered to end users in convenient forms suited to best meet business needs. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, data is collected or acquired without careful consideration of the wide range of potential uses and the types of delivery formats that would best serve these uses. Read the entire page →
From page 78... ... 78 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element 3: Data Architecture and Integration 3.1 Locaon Referencing Common locaon referencing methods across agency data sets Level 1 Agency-Wide: The agency does not have a single common LRS. Data sets, including locaon elements, cannot be spaally integrated with other agency data sets. Read the entire page →
From page 79... ... Data Management Assessment Elements 79 Element Description This sub-element assesses the extent to which the agency has standardized methods for location referencing, including linear referencing for its road-related data sets. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, different data sets use different methods for location referencing and standards for location referencing have not been established. Read the entire page →
From page 80... ... 80 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element Description This sub-element assesses the extent to which the agency has a standard approach to collecting, managing, and integrating spatial data. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, various methods may be used across the agency for collecting and managing spatial data. Read the entire page →
From page 81... ... Data Management Assessment Elements 81 3.3 Data Consistency and Integra on Level 5 Agency-Wide: The agency has a process in place to assess opportunies for re-use of exisng data sources as new applicaons come on line or new data acquision efforts are considered. The agency maintains an agency-wide data model and uses this model to minimize data duplicaon and inconsistencies as new data and systems come on line. Read the entire page →
From page 82... ... 82 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element Description This sub-element assesses the extent to which the agency manages database creation and application development processes to minimize duplication and ensure integration. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, each new database and application development effort is implemented in isolation. Read the entire page →
From page 83... ... Data Management Assessment Elements 83 Element Description This sub-element assesses the extent to which requirements for standardizing temporal data elements are considered so as to ensure that data representing different periods can be combined as needed to support analysis. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, treatment of temporal data elements is not standardized -- each new database and application development effort determines its own formats and requirements. Read the entire page →
From page 84... ... 84 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element 4: Data Collaboration 4.1 Internal Agency Collabora on Collabora on across agency business units to leverage opportuni es for efficiencies in data collec on and management Level 1 Agency-Wide: Most data collecon efforts in the agency are independent -- there has been lile or no effort to coordinate across business units. The agency does not have informaon about the extent of data duplicaon. Read the entire page →
From page 85... ... Data Management Assessment Elements 85 Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, data collection and acquisition efforts are planned and executed independently to meet the needs of different business units. Each business unit views the data they collect as "their own" and doesn't consider the possible value of sharing the data with others in the agency. Read the entire page →
From page 86... ... 86 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Element Description This sub-element assesses the extent to which the agency seeks out externally available data and develops data-sharing arrangements and partnerships with external public- and privatesector entities. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, staff in different business units may seek out and acquire data sets from external entities on a one-time basis as needs arise. Read the entire page →
From page 87... ... Data Management Assessment Elements 87 Element 5: Data Quality 5.1 Data Quality Measurement and Repor ng Metrics and repor ng to ensure user understanding of current data quality Level 1 Agency-Wide: There are no agency-wide acvies related to data quality measurement and reporng. Program Specific: Data quality metrics have not been idenfied. Read the entire page →
From page 88... ... 88 Data to Support Transportation Agency Business Needs: A Self-Assessment Guide Benefits of Moving Up the Maturity Scale At lower levels of maturity, there is a lack of awareness about the quality of different agency data sets beyond anecdotal information. As agencies move up the maturity scale, they measure and report on data quality using metrics reflecting key characteristics of concern to potential users. Read the entire page →
From page 89... ... Data Management Assessment Elements 89 Element Description This sub-element assesses the extent to which the agency pursues a systematic and proactive approach to data quality assurance and improvement. Support for the AASHTO Data Principles  Valuable  Available  Reliable  Authorized  Clear  Efficient  Accountable Benefits of Moving Up the Maturity Scale At lower levels of maturity, data quality is addressed as issues are reported. Read the entire page →

From page 62...

... 62 A P P E N D I X C Data Management Assessment Elements Element 1: Data Strategy and Governance 1.1 Strategy and Direcon Leadership commitment and strategic planning to maximize value of data to meet agency goals Level 1 Agency-Wide: Data collecon and management is performed by individual business units with lile or no agency-wide direcon or coordinaon. Data improvements are not systemacally or regularly idenfied -- they are implemented reacvely or opportuniscally.