Open-source ecosystem for in vitro and microphysiological systems
Save the DateDecember 1-2, 2026Charlotte, North Carolina12th Annual Regenerative Manufacturing Innovation Consortium (RegMIC) Meeting: A Roadmap for Tissue Organoids and Body-on-a-Chip Manufacturing Standards
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Submit data

Prepare a Dataset Submission

Review what information is needed before signing in to contribute raw or processed data to PhysioVerse, including omics, imaging, metadata files, ZIP packages, or repository links.

Before you start

Prepare the information needed for a searchable dataset record

PhysioVerse uses a metadata-first submission workflow. Contributors first describe the dataset, system, modalities, files, metadata, access expectations, and provenance. This helps reviewers understand the submission and helps future users search and reuse approved records.

You can review the submission requirements before signing in. Creating a dataset record, uploading files, managing submissions, and sending a record for review require a PhysioVerse account.

Sign In to Submit Data

Prepare these items

  • Dataset title and short description
  • Contributor name, email, and institution
  • System category or categories, if more than one applies
  • Component and process descriptors such as cell source, tissue context, materials, culture process, or perturbation
  • Data modality or modalities, such as imaging, omics, functional assay, histology, or longitudinal measurement
  • Sample or group information, when available, including control, treated, dose, time point, replicate, or notes
  • Files, ZIP packages, metadata files, protocols, README files, data dictionaries, or external repository links
  • Access and reuse expectations

Submission form preview

What the signed-in form will ask

The signed-in submission form is organized into a small number of practical sections. Some fields are required for search and review. More detailed sample, condition, treatment, dose, time point, and replicate fields are used when they apply to the study.

Dataset overview

Title, description, contributor identity, institution, access level, data location type, and external repository links when applicable.

System description

Multiple system categories and component/process descriptors so contributors are not forced into a single label such as organoid or organ-on-chip.

Data modalities

One or more modalities, modality-specific notes, assay context, measurement endpoints, and file-type expectations.

Sample and study context

Optional sample or group rows for control, treated, dose, time point, replicate, and notes when those details apply.

Files and metadata

Raw files, processed files, ZIP packages, metadata tables, experimental design files, data dictionaries, protocols, README files, and repository links.

Review readiness

Pre-review checks confirm that the record contains enough context for review, discovery, access decisions, and responsible reuse.

Flexible system description

Use component and process descriptors instead of one rigid label

Organoid, organ-on-chip, body-on-chip, tissue-chip, and related systems can overlap. The submission workflow allows contributors to select multiple system categories and describe the underlying components and processes, such as cell source, tissue context, materials, devices, culture process, perturbations, reagents, and modalities.

When an “Other” option is selected, contributors are asked to explain it so new or hybrid systems can still be described clearly.

View Metadata Guide

Searchable descriptors include

  • System category or categories
  • Cell sources and biological components
  • Tissue, organ, species, or disease context
  • Materials, matrix, scaffold, and device context
  • Culture, generation, maturation, or process descriptors
  • Perturbations, exposures, reagents, and key inputs
  • Data modalities and measurement outputs

Contribution options

Provide files, packages, metadata, or repository links

A submission can include uploaded data files, complete ZIP packages, user-provided metadata files, or links to data already hosted in a public or institutional repository. Each file or link should be tied to the dataset record so the submission remains complete.

Upload files

Provide raw data, processed outputs, images, omics files, assay tables, documents, or other research files.

Upload a ZIP package

Submit a complete package that may include data, sample metadata, README files, protocols, or supporting documentation.

Upload metadata files

Add sample tables, data dictionaries, experimental design files, methods documents, or other user-provided metadata.

Link an external repository

Provide a public repository URL, DOI, accession number, persistent identifier, or institutional repository link.

After you begin

What happens after a dataset record is created

The submission remains editable while it is a draft. When the contributor is ready, the record can be sent for review. Review status, file records, manifests, pre-review checks, and curator notes stay connected to the same dataset record.

1

Create

Create a dataset record with enough descriptive information for the dataset to be identified and reviewed.

2

Add

Add component/process descriptors, modalities, sample context when available, files, metadata files, packages, or repository links.

3

Check

Run pre-review checks for required information, file records, provenance, access expectations, and review readiness.

4

Submit

Send the dataset record for review when the contributor is ready. Draft records can be updated before submission.

5

Review

Curators review metadata quality, file-to-record relationships, access expectations, and catalog readiness.

6

Discover

Approved records can become discoverable through the catalog and available for governed access or reuse.

Ready to submit?

Sign in when you are ready to create a dataset record

Anyone can review the submission requirements. An account is required to save a dataset record, upload files, manage submissions, download protected files, remove files, or send a submission for review.

Standards and manufacturing partners

MOSSDO and RegMIC

Connect with the organizations advancing consensus standards, validation, and regenerative manufacturing across the PhysioVerse ecosystem.