How do I use old data with new data?
Old data can be one of the most valuable parts of a project. It provides a baseline, shows what has changed, and gives new observations context.
But historical data are rarely ready to use immediately. They may be stored in spreadsheets, databases, PDFs, or older systems, with different field names, formats, taxonomies, locations, methods, and metadata.
The goal is to bring that history into your current workflow without losing the context that makes it useful.
Bring your historical data forward
Use Magic Uploads to bring existing CSVs and other supported data into eOceans. Fields are mapped to your project structure so historical records can become part of the same connected workflow.
You can then continue adding new observations through the eOceans mobile app, uploads, or an API connecting sensors and other data sources.
A dataset collected ten years ago in a spreadsheet can sit alongside observations collected today in the field, while sensor data continue arriving automatically.
Keep the context
Old and new data don't need to have been collected in exactly the same way. What matters is understanding the differences.
Methods, sampling effort, locations, taxonomies, definitions, and other metadata remain connected to the data, so you can determine what can be compared and how.
That allows historical data to contribute to baselines, trends, change detection, and other analyses rather than sitting unused in an archive.
Keep the record growing
Once historical data are in the project, you don't have to start over every time new data arrive.
Continue adding observations, validate them, analyze them, and update your maps, graphs, tables, and reports as the evidence grows.
Turn your historical data into a living record that keeps getting better.
Bring the past forward. Keep learning from it.
Upload your historical data with Magic Uploads, connect new data through the mobile app, uploads, or API, and keep building on what you already have.
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