Scientific work is much more than just publications. Indeed, unpublished failures and experiments represent a real wealth of unexploited knowledge. Storing and disseminating this research data helps to underpin successes, remember errors and reveal ideas that have yet to be explored. Saving, referencing and exposing this data is a guarantee of sustainability and traceability, on which the scientific method based on reproducibility and reuse of the results is based. In the context of open science, the University of Strasbourg is investing in the development of the POUNT platform, a free, modular and interoperable knowledge access ecosystem: save and version your data (documents, images, videos, 3D models); structure your data in line with the standards of your discipline, and extend these standards with your customised metadata; share your data with a unique identifier, a citation model, configure reading and editing rights for your communities; develop your data and view it seamlessly, enriching it with contextual information and hyperlinks. This article presents the technological basis for implementing these functionalities as well as the underlying infrastructure. It also details the data visualization, based on the example of 3D models. Finally, it describes openness to the community by compliance with standards and distribution of free licence code. The conclusion summarises these functionalities and presents the improvements planned to enable everyone to contribute to the project or deploy their own POUNT platform, capable of interconnecting with each other and with various data sources.

Original context of the paper: * https://conf-ng.jres.org/2019/document_revision_5259.html?download Original context of the video recording of Régis Witz's talk: * https://replay.jres.org/videos/watch/17240a7a-d32f-4aa6-a543-7c2af5f053cb Thanks to the JRES 2019 organization comitee, and in particular to Stéphane Igounet. Original context of April's transcription of the talk: * https://www.librealire.org/science-ouverte-sauvegarder-visualiser-et-partager-vos-donnees-regis-witz * https://www.april.org/science-ouverte-sauvegarder-visualiser-et-partager-vos-donnees-regis-witz Thanks to the April's Transcriptions Group, and in particular to Marie-Odile Morandi.