Survey & Data Standardization

Get Everyone Collecting Data the Same Way

Better data starts before you collect it.

Most organizations have plenty of data. The problem is getting it to work together.

Different people collect the same information in different ways. One team uses metres, another uses feet. Species names vary. Survey methods change. Important fields are left blank. Historical datasets have completely different formats.

By the time the data reaches the person doing the analysis, a lot of time has already been spent cleaning, fixing, and trying to figure out what the data actually means.

eOceans® helps you standardize your surveys and data from the beginning, so the information you collect today is easier to use alongside the information you already have.

Start with a better survey

Good data starts with knowing exactly what you need to collect.

In eOceans, you can define:

What you're measuring
Where and when you're measuring it
Which methods to use
Which fields are required
What units to use
What information needs to be recorded with each observation

Turn your methodology into a survey your team can actually use in the field.

Standardize without making every project the same

Standardization doesn't mean forcing every project into the same mould.

Create the standards you need while keeping the flexibility to use different:

Survey methods
Sampling designs
Targets and variables
Spatial scales
Temporal scales
Project-specific requirements

Your surveys can be consistent where consistency matters, while still reflecting the work you're actually doing.

Put your protocols into the workflow

A methodology sitting in a PDF or spreadsheet doesn't help much when someone is standing in the field trying to collect data.

eOceans puts your survey design and protocols directly into the data-collection workflow.

Field teams know what to collect, how to record it, and what information needs to accompany each observation.

That means less time fixing:

Missing information
Different terminology
Wrong units
Inconsistent methods
Data-entry mistakes

Bring your old data with you

You don't have to start over.

Bring in historical datasets, partner data, research data, CSVs, and other existing information—even when they were collected using different systems or methods.

eOceans helps organize these datasets into a structure you can work with, while keeping the context and history of the original data.

Make data comparable

Once data follows common standards, you can start comparing it.

Across:

Sites
Years
Seasons
Projects
Survey methods
Organizations

Instead of spending weeks figuring out whether two datasets can actually be compared, you can get on with the analysis.

Keep the context with the observation

A value on its own doesn't tell you much.

eOceans keeps the information around an observation that gives it meaning—where and when it was collected, who collected it, what was measured, how it was measured, which method was used, and what units apply.

So when someone looks at the data months or years later, they can still understand it.

Catch problems earlier

Standardizing data also makes it easier to spot things that don't look right.

eOceans can help identify issues with:

Missing fields
Units
Data formats
Expected values
Survey methods
Outliers
Metadata

Find problems while they're still easy to fix—not after you've built the report.

Build standards your whole organization can use

Your best survey methodology shouldn't live in one person's head.

Create reusable protocols, definitions, variables, sampling approaches, and data standards that your teams and partners can work from.

When the project changes hands, the standards stay with it.

Work across teams and organizations

Large monitoring programs often involve many people collecting data in different places.

eOceans gives everyone a common framework while allowing organizations to maintain control over their own data.

Use shared standards across:

Government programs
Research teams
Conservation programs
Indigenous and community monitoring
Industry
Consultants
Partners and field teams

Everyone doesn't need to use the same equipment or collect the same things. They just need a common structure where it matters.

From survey design to usable data

Your survey shouldn't be disconnected from everything that happens afterwards.

With eOceans, the workflow can follow the entire data lifecycle:

Design → Collect → Standardize → Validate → Analyze → Report

The standards you establish when you design the survey carry through to the resulting dataset, analysis, and reporting.

Less cleaning. Less reformatting. Less guessing.

A common problem, in practice

Say five teams are monitoring the same thing.

One records depth in feet. Another uses metres. Species names are entered differently. Survey effort isn't recorded consistently. One team captures precise locations while another records only the site name. Historical data has completely different column names.

The data is there. But before anyone can analyze it, someone has to spend weeks sorting it out.

With eOceans, you can define the standards upfront, build them into the surveys, and apply them when bringing existing data into the system.

The goal isn't perfect data. It's data you can trust, understand, compare, and actually use.

Standardize once. Use your data again and again.

Move from:

Different surveys → Consistent collection
Different formats → Connected data
Manual cleanup → Built-in checks
Lost methodology → Reusable standards
Data wrangling → Analysis and decisions

Make better data from the start.

eOceans helps you design standardized surveys, bring diverse datasets together, and keep the context needed to understand and use your data over time.

Standardize how you collect. Get more from the data you already have.