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.

Data management plan for Eugene Martin and Jacqueline Vickery's National Endowment for the Arts grant. This project will support a series of collaborative media production and storytelling programs serving North Texas. Through partnerships between the University of North Texas' Youth Media Lab and local organizations, the program will offer training for university students and community participants to produce media works such as short films, podcasts, and documentaries that tell underrepresented stories of the local community.

Data management plan for the grant, "Southwest Local Algebra Meeting 2023." No data will be collected or reported for this grant.

Data management plan for the grant, "Collaborative Research: Conference: Texas-Oklahoma Representations and Automorphic forms (TORA)."

Data management plan for the grant, "Applying Game Theory for Improving and Optimizing the US Political Asylum Process"

Data management plan for the grant, "Research: The Formation of Engineers in the Research Lab: A Cognitive Ethnographic Study."

Data management plan for the grant, "Exploiting machine learning for cybersecurity tasks to talent mapping and exploring credentialing ecosystem"

Data management plan for the grant, "FW-HTF-P: Immersive Virtual Reality Instructional Modules for Response to Active Shooter Events."

Data management plan for the grant, "Collaborative Research: DMREF: AI-enabled Automated design of ultrastrong and ultraelastic metallic alloys"

Data management plan for the grant, "DISES: Integrating environmental justice into urban forest assessment and valuation tools: blueprint for the future."

Data management plan for the grant, "HDR DSC: Collaborative Research: Creating and Integrating Data Science Corps to Improve the Quality of Life in Urban Areas."

Data management plan for the research grant "Generating pathogen- / pest-resistant non-GMO cotton through targeted genome editing of oxylipin signaling pathways."

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, …

Data management plan for the grant, "Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale." This project aims to improve the computation efficiency of graph neural networks (GNNs), which are an emerging class of deep learning models on graphs, with many successful applications, such as, recommendation systems, drug discovery, social network analysis, and code vulnerability detection. This project aims to to design an efficient GNN framework via algorithm and system co-design for both static and dynamic graphs.

Data management plan for the grant, "Collaborative Research: LTREB Renewal - River ecosystem responses to floodplain restoration." This project centers on researching the metabolic transformations of the metal-contaminated Upper Clark Fork River in western Montana, USA, that are shifting with environmental restoration efforts. Specifically, the work conducted at UNT includes dissolved organic matter (DOM) chemical characterization of river samples along a 200 km transect from the Upper Clark Fork River, metal concentration analysis, and short-term incubation experiments on the river water (30 days of microbial processes) using multiple analytical chemistry techniques such as absorbance and fluorescence spectroscopy and atomic absorption spectroscopy or inductively coupled plasma mass spectrometry. Data will be analyzed to identify chemical and biological signals of restoration and assess ecosystem health.

Data management plan for the grant, "An Ethnic Spring in the Food Desert? How State Policy Affects Food Environments and Business Entrepreneurships." In food system research, the reduced quality of one's food environment (the combination of food security and food access) is a direct symptom of social, political, and economic disparities. Our research has three primary objectives: Aim 1: To determine the role of state policy in the food environment of immigrant communities and communities of color in the United States, Aim 2: To dissect how state and local policies affect the participation of these communities in the U.S. food system, local food environments, and food business ownership, and Aim 3: To explain the current role and the future role of local policy in the food environment of immigrant communities and communities of color in the United States.

Data management plan for the grant "RAPID: Collaborative Research: Examining Household Movements and Evacuation Decision-Making in a Compounding Risk Event." The purpose of this Grants for Rapid Response Research (RAPID) collaborative project is to examine household protective action decisions during two simultaneous events: Hurricane Ida and the ongoing COVID-19 pandemic. Time-sensitive data gathered through online, phone, and mail surveys and supplemented with GPS/mobile phone data will be used to examine household protective action decision-making and mobility patterns before, during, and after Hurricane Ida. The findings from this project are expected to save lives and minimize stress during evacuations and return trips. Additionally, the findings of the research will benefit the emergency management community and society as new knowledge related to protective action decisions during simultaneous hazard events can help maximize safety and efficiency in coordinating and managing the movements of displaced residents.

Data management plan for the grant, "CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production." This project aims to develop a cyber-physical system (CPS) testbed of integrated sensors, controls, machine learning, and ecotoxicology tools to engineer sustainable food production systems based on aquaculture using brackish water. The testbed includes an automated recirculating aquaculture system integrated with a real-time ecotoxicology system, implementing the system using desalination concentrate to demonstrate that brackish groundwater desalination costs can be offset by using its byproducts for profitable food production. This project will engage students of the local communities in three major ways: developing an exhibit and activity emphasizing interdisciplinary CPS research conducted during the academic year, offering summer research experiences to students from underrepresented groups, and participating in STEM outreach events targeting underrepresented groups.

Data management plan for the grant, "NSFDEB-NERC: Collaborative Research: Wildlife corridors: do they work and who benefits?" Research on the impact of wildlife corridors using genetics as the measure of effectiveness. The study will use 20 independent landscapes to quantify how corridor traits affect gene flow, and will use non-flying mammals as focal species because they are strongly affected by fragmentation. The research team hypothesizes (1) a strong non-linear decline in success (gene flow) with corridor length, reflecting the skewed distribution of dispersal distances within species; (2) success will drop steeply as corridor width falls below a threshold, with the threshold determined by species traits; and (3) species that are bigger, are habitat specialists, or have greater dispersal abilities (relative to brain size or reproductive rate) will benefit more from corridors. Testing these hypotheses will allow generalization to a wide range of mammal species not included in this project. It will use highly flexible Random Forest models to answer the overarching question: What landscape traits (e.g., corridor width, degree of human disturbance) and species traits (mobility, affinity to particular land cover types) are associated with effective corridors?

Paper presented at the 8th International Digital Curation Conference on the problematic future of research data management.

The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed, from release to impact on humans (dose estimates): Source Terms, Environmental Transport, Environmental Monitoring Data, Demography, Food Consumption, and Agriculture, and Environmental Pathways and Dose Estimates.

The objective of the Hanford Environmental Dose Reconstruction (HEDR) Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These tasks correspond to the path radionuclides followed from release to impact on humans (dose estimates): source terms; environmental transport; environmental monitoring data; demography; food consumption; and agriculture; and environmental pathway and dose estimates.

Presentation for the Association of Library and Information Science Education (ALISE) Annual Conference. This presentation discusses a competency-based approach for curriculum development in digital curation.

The objective of the Hanford Environmental Dose Reconstruction Project is to estimate the radiation doses that individuals and populations could have received from nuclear operations at Hanford since 1944. The project is divided into the following technical tasks. These task correspond to the path radionuclides followed, from release to impact on humans (dose estimates): Source terms, environmental transport, environmental monitoring data, demography, food consumption, and agriculture, and environmental pathways and dose estimates.