Résumé
Stock assessment model outputs are rarely available for users who want to explore these datasets. Some systems like RAM Legacy databasecan make parameterization of the model available but these parameters do not come along with data nor metadata. Traceability is an increasinglydesired end product of any work flow, including a stock assessment work flow. To be able to verify the history, location, or application of a pro-cess or data by means of documented recorded identification allows a work flow to be fluidly and rapidly exchanged between users and environmentsand ensures continuity and replicability. This can be achieved by applying standard protocols to each step of the work flow. As part of this work,we attempt to define some standards in terms of stock assessment output in order to enhance traceability and replicability of stock assessment workflows. As an aspect of this, we have developed code that will transform the outputs of stock synthesis 3 into NetCDF so that metadata can be embed-ded, and that these data can be hosted by open source online access points. These data can then be visualized by a standard statistical visualizationtool. Here, we provide an example of a standardized work flow, showcasing standardized data formats, metadata, access protocols, and statisticalvisualization as applied to the 2017 IOTC skipjack ( Katsuwonus pelamis) stock assessment.