CALLISTO: A Semantics-Based Platform for Sharing FAIR Scientific Data Thierry Louge 1 , Emmanuel Courcelle 1 , Michelle Sibilla 2 , Nathalie Aussenac-Gilles 2 , Christophe Marteau 1 , Marianna Braza 3 , Jean-Baptiste Tô 3 and Laurent Orgogozo 4 1 UAR CALMIP 3667 Université de Toulouse, CNRS, INPT, INSA, ISAE, UPS, Toulouse, France 2 UMR IRIT 5505 Université de Toulouse, CNRS, Toulouse, France 3 UMR IMFT 5502 Université de Toulouse, CNRS, INPT, Toulouse, France 4 UMR GET 5563, Université de Toulouse, Université Toulouse Paul Sabatier - Toulouse III, France Abstract In this paper, the platform CALLISTO (CALmip Launches an Interface for a Semantic Toolbox Online, https://callisto.calmip.univ-toulouse.fr/) is presented, aiming at open science construction around seman- tic description of scientifc data, sofware and papers. This work aims tackling the needs for a fne-grained description of multi-disciplinary scientifc collaborations, from data creation to cross-fertilization. A framework for hosting comprehensive and semantic metadata for multi-disciplinary scientifc teams is proposed. The platform provides a user-friendly online interface for data description, browsing and access. This research has been conducted in collaboration with the multi-disciplinary dataNooS academic alliance. CALLISTO is developed and maintained at the computing centre CALMIP. Keywords ontologies, FAIR principles, semantic web, multidisciplinary data sources 1. Introduction The constant growth of scientifc data available online and the growing supply of processing sofware can paradoxically make the reuse of data and algorithms harder. The lack of widely- used fne-grained description of scientifc data, the need for explicit and ergonomic online interfaces for fnding data are some of the challenges ahead towards open science. These concerns are at the heart of the work to encourage the widest possible adoption of the FAIR (Findable, Accessible, Interoperable and Reusable) principles. The simultaneous eforts at a national and European level to adopt the FAIR principles, as well as the existing difculties within scientifc projects in managing multidisciplinary data at several reading levels, contribute to raising scientists’ awareness of the issues involved in the management and use of their data. Within the University of Toulouse, an academic alliance has been created and named dataNooS 1 . It involves researchers and engineers from diferent scientifc disciplines, whose main role is to study solutions for efcient data handling, interoperability and re-usability generalizable to future projects. As a member of dataNooS, the computing centre CALMIP developed and SEMANTICS 2022 EU: 18th International Conference on Semantic Systems, September 13-15, 2022, Vienna, Austria E thierry.louge@inp-toulouse.fr (T. Louge) O 0000-0002-3709-1976 (T. Louge); 0000-0001-8199-6732 (M. Sibilla); 0000-0003-3653-3223 (N. Aussenac-Gilles) © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings http://ceur-ws.org ISSN 1613-0073 CEUR Workshop Proceedings (CEUR-WS.org) 1 https://datanoos.univ-toulouse.fr