Unlock the Full Potential of Your Preclinical Data

MAPP is a next-generation platform that transforms your scattered metadata into a structured, interoperable, and AI-ready asset. Move beyond spreadsheets and unlock faster, more reproducible, and more valuable research.

What is Metadatapp?

Metadatapp is a platform designed to streamline metadata management for preclinical research. Our solution ensures compliance with FAIR principles, seamlessly integrates with laboratory tools such as LIMS, animal/colony manager and electronic lab notebooks (ELN), and enhances reproducibility by meticulously tracking and recording all relevant experimental data.

Our goal is to empower researchers with tools to simplify research workflows, ensure FAIR compliance, and enhance reproducibility in science. Together, we make research more efficient and impactful.

MAPP is FAIR-by-design!

MAPP isn’t merely “compatible” with FAIR; it was engineered around these principles:

  • API-first + JSON-LD give universal findability and interoperability.
  • Open protocols + OIDC ensure controlled but straightforward accessibility.
  • Rich domain schema + provenance hooks drive long-term reusability.

FAIR compliance is baked into the MAPP architecture (not bolted on afterwards), making your (meta)data FAIR-by-design !

Discover How Metadatapp Transforms Metadata Management

Science-Crafted Management

FAIR-by-design, developed by scientists for scientists. Intuitive database system eliminating redundant data entry. Time Efficiency: focus on your research we do the rest! Seamless Integration: Connects with all your third-party lab applications.

Flexible and Integrated

Your question, our solution: No need to be data-specialist to make your data FAIR! Automated: Capture metadata entries without manual effort. Standards Compliance: Adheres to FAIR principles, fill the ARRIVE guidelines, ... Easy Export: Export logs for audits, reviews, or scientific publications.

Single Data Entry

Save time with a streamlined data entry process. Reduce errors and improve efficiency. Enter your data once, it'll be saved and linked with your experiments forever!

Flexible Export Formats

Export your data in CSV, JSON, and other formats for easy sharing. FAIR compliance and extendable to other formats (.NWB, ...)

Enhanced Transparency and Replicability

Improve research visibility and ensure ethical research practices. Facilitate Accurate Interpretation: Simplify data analysis. Respects the 3Rs and improves animal welfare

Promote Collaboration

Secure Data Sharing: Enable safe data exchange within teams. Access Control: Manage permissions effectively. Foster Interdisciplinary Cooperation: Enhance teamwork across fields.

The Team

Damien Huzard

Damien Huzard, PhD - Founder, CEO & CSO

With 15 years of experience in preclinical academic research and specializing in behavioral neuroscience and data analysis, Damien transitioned to making an impact on science from an external perspective. His involvement in the behavioral community and his interest in creating customized solutions inspired him to create NeuroNautix to share his behavioral expertise and MetaDatApp to improve metadata management in research. Additionally, he serves as an administrator, moderator and voice of The Behaviour Forum.

Laurent Huzard

Laurent Huzard - Open Source Backbone

Laurent is our open‑source contributor specializing in PHP (Symfony & API Platform). He’s the go‑to debugger in our community, meticulously reviewing pull requests, hardening code architecture and crafting reusable modules. His structured, framework‑driven approach keeps our projects solid, performant and scalable—driving adoption and helping fellow developers build with confidence.

Rakesh Beedasy

Rakesh Beedasy - CTO

mini-bio coming soon

Advisory Board

Prof. Carmen Sandi

World leader in preclinical research on animal models and translational models of psychiatric disorders (Mice/Rats and humans, stress, mitochondria). She is at EPFL.

Dr. Serge Sonfack

Expert in web semantics and ontologies.

Thibault Géoui

AI/ML application expert in CROs/pharma. Ex Charles River, now AI consultant at Schultz.

Academic Partners

Dr. Konstantin Todorov, LIRMM, Montpellier

Assistant Professor in Web semantics and AI on knowledge Graphs.

IGF, Biocampus Montpellier

CNRS preclinical research laboratory.

Our Supports

Initium Accelerator, PUI, University of Montpellier

Since June 2025.

BIC Montpellier

Programme Premiere Marche, 2025.

Q & A

Do I have to enter all my animal data twice, in the LIMS and in Metadatapp?

No! MAPP eliminates redundant data entry by integrating with your favorite laboratory apps.

How does Metadatapp improve transparency and ethics in research?

By recording all life events of subjects until publication, ensuring scientific transparency and ethical research.

Can I export my data to link with scientific articles?

Yes! Metadatapp allows CSV, JSON, JSON-LD (and soon NWB) format exports , making it easy to link datasets to publications. Importantly, you can directly link your metadata set into an OSF repository for example.

What standards does Metadatapp support?

Metadatapp adheres to FAIR principles, supports the NWB format, and follows RDA guidelines and Open Science initiatives. We are compliant with ontologies and are following web semantic strategies.

Contact Us

Have questions or want a demo? Get in touch today!