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Most fisheries data sets managed by the IOTC are in the public domain.These data sets are accessible and well described but currently hard to locate outside the IOTC website and require an improved description for facilitating their use, e.g., making explicit the license rights, the data structure, the codi cations used, and specifying available Web Services to access or subset the data. Metadata can be of great help to the users and also improve the citation of data management work with digital object identi ers (DOI) and data papers. Moreover, similar data sets are man- aged by the other Regional Fisheries Management Organizations and it would be helpful to standardize (meta-)data formats and access protocols at a global scale. In this paper, we present a method based on standards for metadata and data interoperability which enables a rich description of data sets by complying with widely used standards. We showcase how it is possible with these standards and the related applications which implement them to better describe and discover sheries and stock assessment data as well as to build additional services like data access and visualization tools.

International audience; In this note, we present an approach which has been recently used to execute online the set of codes used for eastern blue n tuna (BFT-E) stock assessment at ICCAT. We aim at discussing the possible interest of the approach to the IOTC Community for focusing on Indian ocean tuna and tuna-like stocks and running other assesment models such as Stock Synthesis 3 (SS3). In 2014, ICCAT BFT-E working group has been able to execute thousands of model runs by using parallelization of R and Fortran codes on a supercomputer. This approach has a lot of scienti c bene ts, in particular for better including the multiple sources of uncer- tainty in assessment results and associated scienti c advice. However, very few participants would be able to reproduce it without speci c technical skills. Since November 2015, a WebSite or VRE for Virtual Research En- vironment has been set up within the H2020 BlueBridge project to enable users to easily parametrize and execute various steps of the BFT-E stock assessment work ow. By repackaging codes provided by ICCAT BFT-E working group, the same codes are now executable online. They can be parametrized, executed and edited by anybody from a simple web page and data outputs are delivered in standard data format. At this stage, this VRE comes with various collaborative Web Services: (i) a workspace to share documents or data, (ii) Web pages or RStudio server to process data online, and (iii) an automated report service to dynamically generate documents packaging these results. Such a collaborative environment enables to store and access the whole set of data and source codes to replicate past results or to try new parametrizations of the model with usual tools or simple web forms. Such an approach might bring more transparency and collaboration within working groups.