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.
Supported by
What is Metadatapp?
Pain: scattered spreadsheets and siloed systems slow research and reduce reproducibility.
Solution: a FAIR‑by‑design platform that structures metadata and integrates with your lab tools, Outcome: faster studies, transparent reporting, and reusable datasets.
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.
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, making your (meta)data FAIR by design.
Discover How Metadatapp Transforms Metadata Management
For Scientists
Scientist‑designed platform
FAIR by design. Intuitive capture with minimal re‑entry. Focus on research, not data wrangling.
Single data entry
Enter once, reuse everywhere. Linked to studies and procedures, reducing errors and saving time.
Transparency & replicability
Provenance, auditability, and ARRIVE‑aligned reporting to improve interpretation and ethics.
Collaboration
Secure sharing within and across teams with controlled access.
For IT / Data
Flexible integrations
Connect LIMS/ELN/HCM systems. Automated ingestion and standards mapping (JSON‑LD, RDA).
Export formats
CSV, JSON, JSON‑LD, RO-CRATE for analytics and regulatory workflows.
The Team
Damien Huzard - 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.
Sharma Beedasy - CTO
Sharma is an engineering leader and full‑stack architect with deep backend expertise in PHP/Symfony, MySQL, Go, Python, and TypeScript. He designs high‑performance, secure systems (PCI‑compliant payments), and runs modern infrastructure with Kubernetes and Ansible across cloud and on‑prem. With an MBA and a BS in Information Systems, he aligns business and engineering, mentoring teams to deliver robust, scalable platforms.
Laurent Huzard - Backend Backbone
Laurent is our API platform expert. Specializing in PHP (Symfony & API Platform), he’s the go‑to debugger, 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.
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 runs the LGC lab at EPFL, Switzerland.
Expert in web semantics and ontologies. Serge SONFACK is a free and open-source advocate and an AI researcher in knowledge representation (Uncertainty, Logic, Graph, Semantic Web) and reasoning.
Dr. Thibault Géoui
Dr. Thibault Géoui is a biotech and life sciences leader with 20 plus years at the intersection of science, data, and AI. He launched over 30 lab products at QIAGEN, helped reposition Elsevier’s flagship chemistry solution, and led R&D Digital strategy at Charles River Laboratories. At Zühlke, he steers transformation and go to market for Pharma Lab Automation, tightly coupling engineering with R&D priorities. He partners with pharma teams to accelerate R&D and advance Lab of the Future initiatives.. He founded Venabili Labs to elevate executive visibility and thought leadership, hosts the Tech and Drugs podcast, and ranks in the top 1% of his industry on LinkedIn.
Academic Collaborations
Dr. Konstantin Todorov, LIRMM, Montpellier
Associate Professor at the University of Montpellier and researcher at LIRMM (ADVANSE). Works on AI for knowledge graphs, NLP, and information extraction with applications in biology, immunogenetics, journalism, and cultural heritage; co-leads LIRMM’s AI & Data Science axis.
IGF, Biocampus Montpellier, CNRS
CNRS preclinical research laboratory.
Our Supports
Initium Accelerator, PUI, University of Montpellier
INITIUM is the University of Montpellier’s academic incubator. It supports innovators around the three pillars “Nourish – Heal – Protect” and their interfaces. Project leaders — students, PhD candidates, and researchers within the I-SITE perimeter — can receive INITIUM’s early-stage support to structure their innovation project.
Since June 2025.
BIC Montpellier
“Premiere Marche” is a program that helps early‑stage health innovators structure the first phases of their project: build the team, analyze and position the market (including AI‑assisted research), understand the health ecosystem and regulations, prepare an impact‑driven pitch, secure funding, and produce a robust financial forecast.
Premiere Marche program, April-May 2025.
Our Partners
These are the first people and organizations helping shape MAPP — advising on real needs, sharing domain expertise, collaborating on pilots, and supporting development. They are not necessarily commercial partners; they are our early community.
Kelly Rodriques (Iseehear Inc., softmouse.NET)
Colony management perspectives and integration scenarios. The first AMS system trusting our vision and openning its API for initial testing!
Nicola Carpi (Deltablot, ElabFTW)
ELN interoperability and export pathways for reproducibility.
Elodie Belan (IGF, CNRS, Montpellier)
Use‑case discussions around preclinical workflows and datasets.
Michael Florea & Noah Weber (Olden Labs)
Feedback on developer ergonomics and data pipelines.
Athanassia Sotiropoulou (GIS FC3R)
Alignment with French 3Rs initiatives and best practices.
Benoit Petit-Demoulières (Fair3R)
& Hamid Meziane (IMPC)
Early feedback on animal metadata and 3Rs alignment. Perspectives on cross‑lab comparability and ontology mapping.
Julia Menon (preclinicaltrials.eu)
Trial registration and metadata discoverability for publications.
Esther Pearl (NC3R)
Ethical and methodological rigor for animal research.
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!