Platforms · Biosignal Datahub

Biosignal Datahub

As data volume and study scale grow, biosignal files remain organized around event information. A standardized structure makes the data easier to integrate, analyze, share with other researchers, and reuse.

Selection guide

Manage research data by experiment and event

Management unit

Experiment · event · participant

Connect each file to the study, measurement event, and participant code.

Data flow

Collect→standardize→search

Organize uploaded data into a common structure and find it by conditions and metadata.

Use

Analyze · share · reuse

Review event-based descriptive statistics and use the data within the appropriate access scope.

Who this is for

Research data managers

Use it to organize multiple studies consistently and preserve context through staff changes.

Data analysts

Use participant, signal, device, and event conditions to find comparable data.

Collaborative research teams

Work from the same data structure and an access scope appropriate for each partner.

How to use

Manage your first experiment in five steps

Before you start · Prepare these four items in Datahub screen order

Prepare the account, experiment details, file format, and data descriptions required to create an experiment and upload CSV files.

Account and repository

Confirm the account, available repository capacity, and whether to use an existing experiment or create a new one.

Experiment details

Prepare visibility, experiment name and period, summary, Method, and IRB details when applicable.

Upload CSV

Structure the CSV with Time (s) first, one or more signal columns in the middle, and event as the final column.

Filename and data descriptions

Prepare a date_participantID_gender_age filename plus the data type, sampling rate, and column and event descriptions.

STEP 1
Sign in and open your repository
Sign in with your account, then open the repository to review your experiments and overall data status. Select ‘New experiment’ when starting a new study.
- Confirm the signed-in account
- Review repository usage
- Separate existing and new experiments
Open the repository after sign-in to review existing experiments or start a new one.
STEP 2
Create an experiment and set visibility
Select Public or Private, then enter the experiment name, period, summary, method, and IRB details when applicable. A private experiment does not appear in other users’ Find Data results.
- Select Public or Private
- Enter the experiment name and period
- Write the summary, method, and IRB details
Enter visibility and experiment details on the Create a new experiment screen.
STEP 3
Upload data files and metadata
Select the CSV under ‘Upload data’. Keep Time (s) first, one or more signal columns in the middle, and event last. With the filename convention, collection date and participant details are filled automatically.
- Confirm the CSV column order and final event column
- Confirm the date_participantID_gender_age filename
- Confirm data type, sampling rate, and event descriptions
Review event-based files, participant details, the upload action, and summary statistics in one experiment view.
STEP 4
Review data status in the repository overview
Use My experiments overview to review the structure of experiments and files in the repository. It shows file counts by data type, experiment and file visibility, data upload status, and subject status together.
- Review file counts by data type
- Review experiment and file visibility
- Review data upload status
- Review subject status
Review file composition, visibility, uploads, and subjects in the repository overview.
STEP 5
Find data with search conditions
Search by keyword in Find Data, then use advanced filters for data type, visibility, gender, age range, and experiment period to narrow the results.
- Review keyword and result count
- Confirm data type and visibility
- Confirm subject conditions and period
Use keyword search and detailed filters to find the required public data.