Capabilities & Technical Specifications
eOceans supports research, monitoring, operations and decision-making across domains.
It is an expert-built spatio-temporal data system that brings together data from multiple sources, supports new data collection, manages data quality, enables analysis, maps patterns and generates reports.
The system provides a structured data framework so teams do not have to design every data structure, field workflow and analytical process independently. Projects can be configured for different research questions, monitoring objectives, methods and reporting requirements while using shared capabilities for data management and analysis.
eOceans brings historical datasets and newly collected observations together within the same project. Data can be standardized, analyzed and presented through dashboards, maps, reports, and publications.
1. Spatio-temporal data framework
Project configuration
Projects can be configured around their objectives, variables, study area, methods and data requirements.
Project setup and configuration
Variable Builder™ for defining project variables and fields
Custom fields and variables
Add study area: select, upload, or draw your own boundary
Project methods and protocols for team consistency
Configurable user roles and permissions
Support for repeated surveys and long-term monitoring
The framework supports project-specific configuration without requiring every project to be built as an independent software system.
Data structures and consistency
Datasets often differ in field names, variable definitions, formats and collection methods. These differences can make integration and comparison difficult.
eOceans supports:
Mapping uploaded data fields to project variables
Standardizing data from different sources into a consistent structure
Validation during data import
Combining historical and newly collected data
Bringing multiple data sources into a single project
Retaining data attribution and provenance
Shared structures can support consistency across projects. Meaningful comparisons also depend on alignment of variable definitions, units, methods, sampling effort, spatial and temporal scales, and other relevant factors.
2. Data Ingestion and Integration
Existing and historical data
eOceans supports importing existing datasets so projects can incorporate information collected before a project began or through other workflows.
Upload existing datasets
Import spreadsheet (CSV)
Automatically map uploaded fields to project variables
Standardize data from different sources
Validate data during import
Combine historical and newly collected data
Integrate multiple data sources within one project
Download project data
This allows projects to incorporate existing information alongside new field observations rather than relying exclusively on data collected through the eOceans mobile app.
Programmatic access
eOceans supports custom API access for programmatic use of data or results.
3. Field Data Collection
The eOceans mobile app supports structured collection of new observations as one input pathway within the wider data workflow.
Observation capture
Automatic GPS coordinate capture
Automatic date and time capture
Photographs and field notes
Species lookup and field guide functionality
Collaborative identification through ID Please
In-field data quality checks
Recently used observations
Sampling effort recording
Attribution of records to individual contributors
Mobile and offline operation
Mobile field data collection
Offline data collection
Synchronization of offline field data when connectivity returns
Field observations can be combined with imported and historical data within the same project.
4. Data Quality, Validation and Traceability
eOceans supports data quality processes during import, collection and review.
Validation during data import
In-field quality checks
Review and validation workflows for submitted data
Standardization of imported data
Data attribution and provenance
Attribution of records to individual contributors
Tracking changes to records or retaining version history
Audit trails of user actions or data changes
These capabilities support data review, consistency and traceability throughout project workflows.
5. Analytics and Calculations
eOceans provides analytical functions for summarizing project data, examining patterns and comparing results.
Summary statistics
Counts, totals and summary statistics
Frequency and occurrence
Abundance summaries
Automated charts and tables
Biodiversity analysis
Species richness
Shannon–Weaver species diversity
Species evenness
Species accumulation curves
Effort-based analysis
Catch per unit effort (CPUE)
Observations per unit effort
Comparisons and derived results
Filtering and analyzing subsets of data
Comparing sites, periods and categories
Temporal trend analysis
Analysis of relationships between variables
Custom calculations and derived variables
Custom statistical analysis
Interpretation of results depends on the underlying data, methods, assumptions and sampling design.
6. Mapping and Spatial Analysis
eOceans supports spatial visualization and analysis of observations and project data.
Mapping capabilities
Point maps
Heat maps
Raster maps
Interactive maps
Map filtering
Visualization of multiple variables on maps
Species distribution maps
Effort and activity maps
Pollution and incident maps
Study areas and spatial boundaries
Spatial analysis
Spatial comparisons
Spatial patterns and hotspots
Spatial statistics
Maps that update as underlying data changes
Spatial outputs
Map export or download
Spatial data export
7. Dashboards and Project Monitoring
eOceans provides project dashboards and visual summaries generated from project data.
Dashboards with key project information
Charts and tables generated from project data
Filtering by dates, sites, species and other variables
Comparison of results across sites and time periods
Tracking project activity and contributions over time
Project activity metrics
Available project metrics include:
Participants
Contributors
Surveys
Observations
8. Reporting and Outputs
Report generation
eOceans supports generating HTML and PDF reports.
Select charts, tables, maps and analyses for reports
Customize report content, layout and branding (custom/Enterprise only)
Download or export reports
Publish reports and results through shareable links
Share reports with public or restricted access
Update reports when underlying data changes
Data exports
Project data downloads
CSV or spreadsheet-format downloads
Structured biodiversity or scientific data exports
Spatial data exports
9. Interoperability and Data Standards
Biodiversity standards
eOceans supports recognized biodiversity data standards, including Darwin Core.
Data exchange
Import common spreadsheet and tabular formats
Automatically map uploaded fields to project variables
Standardize data from different sources
Export structured biodiversity and scientific data
Access data or results programmatically through the API
Download project data and spatial data
10. Collaboration and Administration
eOceans supports collaborative projects involving multiple users, teams and organizations.
Users and roles
Multiple users contributing to the same project
Role-based access, including administrator, reviewer and contributor roles
Management of project membership and permissions
Collaboration across locations and organizations
Attribution of records and contributions to individual users
Review and validation workflows for submitted data
Tracking team participation and contribution levels
Project continuity
Project methods and protocols for team consistency
Support for repeated surveys and long-term monitoring
Continuity when team members leave or change
Notifications and alerts for project activity or data issues
Mobile support for field teams
Synchronization of offline data when connectivity returns
11. Data Access and Governance
eOceans supports configurable access to project data and results.
Role-based user access and permissions
Restricted access to project data and sensitive information
Project-level control over data sharing and access
Public or restricted access to reports
Data attribution and provenance
Record change tracking or version history
Audit trails of user actions or data changes
12. Technical Specifications and Compatibility
Detailed implementation requirements depend on the data sources, project configuration and workflows involved.
For technical evaluation or implementation planning, relevant specifications include:
Supported import and export formats
Data field mapping and validation behavior
Supported biodiversity standards and data structures
API endpoints, authentication and request formats
Spatial data formats and coordinate reference systems
Available analytical methods and parameters
Report configuration and export options
User roles, permissions and sharing controls
Applicable security, backup and data recovery practices
For project-specific requirements, contact eOceans to discuss your data sources, workflows, analyses, outputs and interoperability needs.