Environmental Data System Design and Optimization
Environmental Data System Design: Our data systems are built around your lines of evidence, data quality objectives, data collection methods, interoperability needs, security requirements and budget.
Decision Support and Conceptual Site Modeling: Battelle ensures that your data work more effectively in environmental research, restoration or policy decisions because our system designs are framed that way.
Workflow-Based Requirements Analyses & Acceptability Testing: We use workflow-based requirements analyses to design systems for complex environmental investigations.
Legacy System Migrations or Improvement via Distributed Services: Battelle helps clients retain the value of legacy systems while also exploiting newer technologies, approaches or efficiencies.
Data Quality Systems
Quality Management Plans: Our quality management plans address program quality and organizational leadership. We’ll design a quality system for you that holds up from the field to the lab to the decision.
Lifecycle Management of Sample Custody and Lab Providers: Our barcode-based sample management systems let you track environmental samples every step of the way from field collection plans to final recording of laboratory results. Our electronic data deliverable (EDD) protocols handle diverse formats used by Laboratory Information Management Systems (LIMS).
Cyberinfrastructure with Embedded Quality Control: Battelle addresses data quality, beginning at the moment of capture through real-time QC, with synchronized lexicons and place-specific constraints so data producers can solve issues immediately.
Data Analytics, Visualization and Query
Data Analytics: Because decision models are the foundation of Battelle’s system designs, our data analytics tools readily convert environmental data into relevant information, intuitive visualizations, reliable predictions and defensible decisions. Our flexible, iterative analytical models enable sensitivity analyses, human health risk projections and decision tradeoffs.
Data Visualization: Our data visualization tools turn complex environmental data into easily digestible information in the form of charts, graphs, maps or animations. They allow users to quickly see patterns and trends in environmental data and communicate complex information to non-technical stakeholders.
Semantic Search: Battelle applies advanced analytical methods—including machine learning, natural language processing and ontology development—to help researchers find fast answers to complex questions. Using our ontology-based approach, our semantic programs quickly return relevant and meaningful results, reducing the time required to analyze large datasets or find relevant information from large libraries of scientific literature.