The Tank Characterization Data Management (TCDM) system provides customers and users with data and information of known and acceptable quality when they are needed, in the form they are needed, and at a reasonable cost. The TCDM mission will be accomplished by the following: (1) maintaining and managing tank characterization data and information based on business needs and objectives including transfer of ownership to future contractors; (2) capturing data where it originates and entering it only once to control data consistency, electronic data and information management shall be emphasized to the extent practicable; (3) establishing data quality standards, and managing and certifying databases and data sources against these standards to maintain the proper level of data and information quality consistent with the importance of the data and information, data obtained at high cost with significant implications to decision making regarding tank safety and/or disposal will be maintained and managed at the highest necessary levels of quality; (4) establishing and enforcing data management standards for the Tank Characterization Database (TCD) and supporting data sources including providing mechanisms for discovering and correcting data errors before they propagate; (5) emphasizing electronic data sharing with all authorized users, customers, contractors, and stakeholders to the …

The purpose of this handbook is to assist environmental restoration (ER) projects in the preparation of a data management implementation plan (DMIP). The DMIP identifies and documents an ER project's requirements and responsibilities for the management, quality assurance, use, and archival of its environmental data. It is important that a project complete its DMIP in the early planning phase to ensure that the necessary and appropriate data management systems and personnel are in place before the project begins acquiring data. All ER projects that collect or use environmental data at the Oak Ridge National Laboratory, the Oak Ridge Y-12 Plant, the Oak Ridge K-25 Site, the Paducah Gaseous Diffusion Plant, the Portsmouth Gaseous Diffusion Plant, and surrounding onsite and offsite areas must prepare a DMIP. Project types that often collect environmental data include surveillance and maintenance, decontamination and decommissioning, remedial design/remedial action, and remedial investigation/feasibility studies. Even if a project does little environmental data management, a DMIP is required to document this fact.

This plan documents current data management practices and future data management improvements for TWRS Waste Shipment Engineering.

The tasks performed in the Remedial Investigation/Feasibility Study (RI/FS) work plan for each Hanford Site operable unit must meet the requirements of the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA) and the Hanford Federal Facility Agreement and Consent Order (Tri-Party Agreement, Ecology et. al 1992). An extensive amount of data will be generated in the evaluation and remediation of hazardous waste sites at the Site. The data must be of sufficient quality, as they will be used to evaluate the need, select the method(s), and support the full remediation of the waste sites as stipulated in the Tri-Party Agreement. In particular, a data management plan (DMP) is to be included in an RI/FS work plan for managing the technical data obtained during the characterization of an operable unit, as well as other data related to the study of the operable unit. Resource Conservation and Recovery Act of 1976 (RCRA) sites are involved in the operable unit. Thus, the data management activities for the operable unit should be applied consistently to RCRA sites in the operable unit as well. This DMP provides common direction for managing-the environmental technical data of all defined operable units at the Hanford Site …

To obtain an operating permit from Washington State Department of Ecology, Westinghouse Hanford Company (WHC) must assess the double-shell tanks (DST) for structural integrity. The assessment includes volumetric examinations of the primary steel tank and secondary steel liner. The integrity of the tanks will be assessed by remote ultrasonic (UT) inspections of the primary and secondary steel tanks to measure wall thickness and detect corrosion pitting and stress corrosion cracking. The surfaces of the areas to be inspected will be cleaned with a power wire brush to remove loose mill scale, rust, and other materials that could inhibit proper coupling of the UT probe. To ensure that the cleaning process is satisfactory, the cleaned area will be viewed with a video camera and recorded. The video and UT equipment will be calibrated the ensure accuracy, and a performance test will be conducted to verify its capabilities. The tank inspection sequence consists of cleaning, visual examination, and UT inspection of each region selected for inspection: the primary tank wall, the tank bottom and lower knuckle, and the secondary tank wall. A significant amount of data will be collected and reported during these examinations. This data management plan (DMP) describes the data …

The Hanford Data Integration 2000 (HANDI 2000) Project will result in an integrated and comprehensive set of functional applications containing core information necessary to support the Project Hanford Management Contract (PHMC). It is based on the Commercial-Off-The-Shelf (COTS) product solution with commercially proven business processes. The COTS product solution set, of PassPort (PP) and PeopleSoft (PS) software, supports finance, supply and chemical management/Material Safety Data Sheet.

The Data Management Plan (DMP) describes the data management objectives, system components, data base structure and contents, system maintenance, data processing, and user interface for the prototype phase of the Oak Ridge Environmental Information System (OREIS). The major goals of OREIS data management are to compile data of known quality, to maintain the integrity of the data base, and to provide data to users. The DMP defines the requirements, describes the responsibilities, and references the procedures for meeting the data management objectives. Emphasis is on management of measurement data and the associated metadata used to support its proper interpretation and legal defensibility. The DMP covers transmittal, processing, storage, and data access activities associated with OREIS. The OREIS data dictionary is provided as an appendix.

The Data Management Plan (DMP) describes the data management objectives, system components, data base structure and contents, system maintenance, data processing, and user interface for the prototype phase of the Oak Ridge Environmental Information System (OREIS). The major goals of OREIS data management are to compile data of known quality, to maintain the integrity of the data base, and to provide data to users. The DMP defines the requirements, describes the responsibilities, and references the procedures for meeting the data management objectives. Emphasis is on management of measurement data and the associated metadata used to support its proper interpretation and legal defensibility. The DMP covers transmittal, processing, storage, and data access activities associated with OREIS. The OREIS data dictionary is provided as an appendix.

The purpose of this Data and Records Management Plan (DRMP) is to ensure that the ER environmental measurements data management process, from planning through measurement, recording, evaluation, analysis, use, reporting, and archival of data, is controlled in an efficient, comprehensive, and standardized manner. Proper organization will ensure that data and documentation are adequate to describe the procedures, events,and results of the Waste Area Grouping (WAG) 4 project. The data management process manages the life cycle of environmental measurements data from the planning of data for characterization and remediation decisions through the collection, review, and actual usage of the data for decision-making purposes to the long-term storage of the data. The nature of the decision-making process for an Environmental Restoration (ER) project is inherently repetitive. Existing data are gathered and evaluated to establish what is known about a site. Decisions regarding the nature of the contamination and potential remedial actions are formulated. Based upon the potential risk to human health and the environment, an acceptable level of uncertainty is defined for each remediation decision. WAG 4 is a shallow-waste burial site consisting of three separate areas: (1) Solid Waste Storage Area (SWSA) 4, a shallow-land burial ground containing radioactive and potentially …

The Data Management Plan and Functional System Design supports the Clinch River Remedial Investigation (CRRI) and Waste Area Grouping (WAG) 6 Environmental Monitoring Program. The objective of the Data Management Plan and Functional System Design is to provide organization, integrity, security, traceability, and consistency of the data generated during the CRRI and WAG 6 projects. Proper organization will ensure that the data are consistent with the procedures and requirements of the projects. The Information Management Groups (IMGs) for these two programs face similar challenges and share many common objectives. By teaming together, the IMGs have expedited the development and implementation of a common information management strategy that benefits each program.

The Waste Area Grouping (WAG) 1 Groundwater Operable Unit (OU) at Oak Ridge National Laboratory (ORNL) in Oak Ridge, Tennessee, is undergoing a site characterization. This project is not mandated by the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA); therefore, no formalized meetings for data quality objective (DQO) development were held. Internally, DQOs were generated by the project team based on the end uses of the data to be collected. The 150-acre WAG 1 is contained within the ORNL security area. It includes all of the former ORNL radioisotope research, production, and maintenance facilities; former waste management areas; and some former administrative facilities. The goal of the WAG 1 Groundwater Site Characterization is to provide the necessary data on the nature and extent of groundwater contamination with an acceptable level of uncertainty to support the selection of remedial alternatives and to identify additional data needs for future actions. Primary objectives for the site characterization are: (1) To identify and characterize contaminant migration pathways based on the collection of groundwater data; (2) to identify sources of groundwater contamination and evaluate remedial actions which could be implemented to control or eliminate these sources; and (3) To conduct groundwater monitoring in support …

The overall objective of the Bear Creek Valley treatability study is to provide site-specific data defining potential treatment technologies applicable to contaminated groundwater and surface water. The ultimate goal of this effort is to install a treatment system that will remove uranium, technetium, nitrate, and several metals from groundwater before it reaches Bear Creek. This project, the Bear Creek Valley treatability study Phase 2 hydraulic performance testing, directly supports the Bear Creek Valley Feasibility Study. Specific project objectives include (1) installing monitoring and extraction wells, (2) installing a groundwater extraction trench, (3) performing pumping tests of the extraction wells and trench, (4) determining hydraulic gradients, and (5) collecting water quality parameters. The primary purpose of environmental data management is to provide a system for generating and maintaining technically defensible data. To meet current regulatory requirements for the Environmental Restoration Program, complete documentation of the information flow must be established. To do so, each step in the data management process (collection, management, storage, and analysis) must be adequately planned and documented. This document will serve to identify data management procedures, expected data types and flow, and roles and responsibilities for all data management activities associated with this project.

A parking and routing information system (PARIS) is being designed and deployed at a test site on the Mountain Home Veterans Administration campus in Johnson City, Tennessee using three sensor technologies. The purpose of the PARIS project is to demonstrate innovative integration of vehicle sensing technologies with parking management strategies to improve mobility and relieve congestion associated with a growing medical technology complex. Oak Ridge National Laboratory`s (ORNL) role during phase 1 of the project is to act as the independent evaluator. This technical memorandum presents two plans, Data Management Plan and Quality Control/Quality Assurance (QC/QA) Plan, which were developed to support ORNL`s responsibilities and functions. The purposes of the Data Management Plan are to coordinate the data needs which will be addressed in four individual evaluation test plans and to deal with the data issues facing the phase 1 evaluation as a whole. The objectives of the QC/QA Plan are to ensure that the evaluation is conducted properly, to guarantee that the data which will be collected are valid and properly analyzed, and to make sure that the test results are accurately recorded and reported. The evaluation will be performed through the execution of four integrated studies (system performance, …

A guide to developing total maximum daily load watershed projects in Texas.

The OREIS Functional System Design document provides a detailed functional description of the Oak Ridge Environmental Information System (OREIS). It expands the system requirements defined in the OREIS Phase 1-System Definition Document (ES/ER/TM-34). Documentation of OREIS development is based on the Automated Data Processing System Development Methodology, a Martin Marietta Energy Systems, Inc., procedure written to assist in developing scientific and technical computer systems. This document focuses on the development of the functional design of the user interface, which includes the integration of commercial applications software. The data model and data dictionary are summarized briefly; however, the Data Management Plan for OREIS (ES/ER/TM-39), a companion document to the Functional System Design document, provides the complete data dictionary and detailed descriptions of the requirements for the data base structure. The OREIS system will provide the following functions, which are executed from a Menu Manager: (1) preferences, (2) view manager, (3) macro manager, (4) data analysis (assisted analysis and unassisted analysis), and (5) spatial analysis/map generation (assisted ARC/INFO and unassisted ARC/INFO). Additional functionality includes interprocess communications, which handle background operations of OREIS.

In the Bear Creek Valley Watershed Remedial Investigation, the Boneyard/Burnyard was identified as the source of the largest releases of uranium into groundwater and surface water in Bear Creek Valley. The proposed action for remediation of this site is selective excavation and removal of source material and capping of the remainder of the site. The schedule for this action has been accelerated so that this is the first remedial action planned to be implemented in the Bear Creek Valley Record of Decision. Additional data needs to support design of the remedial action were identified at a data quality objectives meeting held for this project. Sampling at the Boneyard/Burnyard will be conducted through the use of a phased approach. Initial or primary samples will be used to make in-the-field decisions about where to locate follow-up or secondary samples. On the basis of the results of surface water, soil, and groundwater analysis, up to six test pits will be dug. The test pits will be used to provide detailed descriptions of source materials and bulk samples. This document sets forth the requirements and procedures to protect the personnel involved in this project. This document also contains the health and safety plan, quality …

An overview of the Data Management Plan for the Airborne Multisensor Pod System (AMPS) pro-grain is provided in this document. The Pacific Northwest Laboratory (PNL) has been assigned the responsibility of data management for the program, which includes defining procedures for data management and data quality assessment. Data management is defined as the process of planning, acquiring, organizing, qualifying and disseminating data. The AMPS program was established by the U.S. Department of Energy (DOE), Office of Arms Control and Non-Proliferation (DOE/AN) and is integrated into the overall DOE AN-10.1 technology development program. Sensors used for collecting the data were developed under the on-site inspection, effluence analysis, and standoff sensor program, the AMPS program interacts with other technology programs of DOE/NN-20. This research will be conducted by both government and private industry. AMPS is a research and development program, and it is not intended for operational deployment, although the sensors and techniques developed could be used in follow-on operational systems. For a complete description of the AMPS program, see {open_quotes}Airborne Multisensor Pod System (AMPS) Program Plan{close_quotes}. The primary purpose of the AMPS is to collect high-quality multisensor data to be used in data fusion research to reduce interpretation problems associated with …

As part of the Environmental Restoration Program at Martin Marietta, IEM (Information Engineering Methodology) was developed as part of a complete and integrated approach to the progressive development and subsequent maintenance of automated data sharing systems. This approach is centered around the organization`s objectives, inherent data relationships and business practices. IEM provides the Information Systems community with a tool kit of disciplined techniques supported by automated tools. It includes seven stages: Information Strategy Planning; Business Area Analysis; Business System Design; Technical Design; Construction; Transition; Production.

This workplan is an assemblage of documents for use by Pacific Northwest National Laboratory (PNNL) to direct and control project activities at Fort Lewis, Washington. Fort Lewis is a FORSCOM installation, whose Logistics Center (DSERTS Site FTLE-33) was placed on the National priorities List (NPL) in December 1989, as a result of trichloroethene (TCE) contamination in groundwater beneath the site. Site background information and brief descriptions of the Fort Lewis project and the main supporting documents, which will be used to direct and control the project activities, are provided. These are followed by a summary of the Work Breakdown Structure (WBS) elements, a general project schedule, a list of major deliverables, and a budget synopsis. Test plans for specific elements (Bench-Scale Testing) will be developed separately as those elements are initiated. If additional activities not specifically addressed in the Project Management Plan (Attachment 1) are added to the work scope, addendums to this workplan will be prepared to cover those activities.

A parking and routing information system (PARIS) is being designed and deployed at a test site on the Mountain Home Veterans Administration campus in Johnson City, Tennessee using three sensor technologies. The purpose of the PARIS project is to demonstrate innovative integration of vehicle sensing technologies with parking management strategies to improve mobility and relieve congestion associated with a growing medical/technology complex. This technical memorandum presents the four individual evaluation test plans, System Performance Individual Evaluation Test Plan, User Acceptance Individual Evaluation Test Plan, Institutional and Business Issues Individual Evaluation Test Plan, and Transportation Systems Individual Evaluation Test Plan, which were developed to support ORNL`s responsibilities and functions during the four studies. The plans define the level of effort required to satisfy the data collection, processing, and analysis requirements for the assessment of the system performance, user acceptance, institutional and business issues, and transportation systems components of the PARIS phase 1 evaluation. Each plan is divided into three subsections: executive summary, detailed study design, and study management.

The Oak Ridge Y- 1 2 Plant (Y-12 Plant) is owned by the United States Department of Energy (DOE) and managed by Lockheed Martin Energy Systems, Inc. (Energy Systems) under contract No. DE-AC05-84OR21400. The Y-12 Plant Groundwater Protection Program (GWPP), which was initiated in 1975, provides for the protection of groundwater resources consistent with Federal, State, and local regulations, and in accordance with DOE orders and Energy Systems policies and procedures. The Y-12 Plant is located in Anderson County, Tennessee, and is within the corporate limits of the City of Oak Ridge. The Y-12 Plant is one of three major DOE complexes that comprise the 37,000-acre Oak Ridge Reservation (ORR) located in Anderson and Roane counties. The Y-12 Plant is located in Bear Creek Valley at an elevation of about 950 feet (ft) above sea level. Bear Creek Valley is bounded on the northwest and southeast, and is isolated from populated areas of Oak Ridge, by parallel ridges that rise about 300 ft above the valley floor. The Y-12 Plant and its fenced buffer area are about 0.6 mile wide by 3.2 miles long and cover approximately 4,900 acres. The main industrialized section encompasses approximately 800 acres.

This document presents the results of the Spent Nuclear Fuel Project (SNFP) Information Management Planning Project (IMPP), a short-term project that identified information management (IM) issues and opportunities within the SNFP and outlined a high-level plan to address them. This high-level plan for the SNMFP IM focuses on specific examples from within the SNFP. The plan`s recommendations can be characterized in several ways. Some recommendations address specific challenges that the SNFP faces. Others form the basis for making smooth transitions in several important IM areas. Still others identify areas where further study and planning are indicated. The team`s knowledge of developments in the IM industry and at the Hanford Site were crucial in deciding where to recommend that the SNFP act and where they should wait for Site plans to be made. Because of the fast pace of the SNFP and demands on SNFP staff, input and interaction were primarily between the IMPP team and members of the SNFP Information Management Steering Committee (IMSC). Key input to the IMPP came from a workshop where IMSC members and their delegates developed a set of draft IM principles. These principles, described in Section 2, became the foundation for the recommendations found in …

The Hanford Site missions are to clean up the Site, to provide scientific knowledge and technology to meet global needs, and to partner in the economic diversification of the region. To achieve these long-term missions and increase confidence in the quality of the Site`s decision making process, a dramatically different information management culture is required, consistent with US Department of Energy (DOE) mandates on increased safety, productivity, and openness at its sites. This plan presents a vision and six strategies that will move the Site toward an information management culture that will support the Site missions and address the mandates of DOE.

In the process of performing environmental restoration at the 560-square mile Hanford Site in southeastern Washington State, very large amounts of scientific and technical data are being generated from sampling taking place all over the Site. Topics discussed in this paper include the lessons learned during the implementation of a Past Practice strategy to accelerate waste site characterization through the application of the Data Quality Objectives process to select sample analytical data and data validation requirements; and the lessons learned during the implementation of computerized data management for maintaining {open_quotes}real-time{close_quotes} data availability to the end users including the regulators.