Reproducible marine data systems
Published:
Scientific question
How can complex fisheries, biological, acoustic, and oceanographic data be transformed into reproducible analytical systems that remain traceable, updateable, and suitable for scientific assessment?
Scope
The project covers data acquisition, quality control, harmonization, metadata, version control, analytical pipelines, automated outputs, and computational environments for marine research.
Data and tools
Applications include satellite and reanalysis products, fisheries-dependent observations, acoustic-survey information, biological sampling, environmental time series, and spatial data cubes.
Methods
- Programmatic data acquisition and validation.
- Standardized data schemas and variable dictionaries.
- Reproducible pipelines in R, Python, Julia, Git, and GitHub.
- Dependency and environment management.
- Automated figures, tables, reports, and quality-control summaries.
- Documentation, testing, and provenance tracking.
Current status
Active software and workflow-development programme supporting fisheries, anchovy, tuna, environmental, and ecosystem-indicator projects.
Expected outputs
- Reusable data-processing workflows.
- Scientific packages and analytical utilities.
- Documented environmental and fisheries data products.
- Training material on reproducible quantitative marine science.
Related resources
See Software & Data for tools and curated data resources associated with this programme.