This contribution aims at promoting new forms of production and dissemination for Official Statistics. We actually propose to align with the current best practices in other domains, e.g. the reproducibility movement in computational science and the Open Source Software (OSS) community, so as to support new modes of production of e-Official-Statistics. In doing so, we further highlight the importance of capturing and sharing data as well as algorithms and software to engage in data processing. In practice, today's technological solutions – e.g. flexible Application Programming Interface, lightweight virtualised container platforms, versatile interactive notebooks … – make the development and deployment of reproducible statistical workflows easy by supporting an approach where data and algorithms are delivered as portable, interactive, reusable and reproducible computing services. In a constantly evolving data ecosystem, the proposed approach supports new modes of production of e-Official-Statistics since perfectly configured and ready-to-use computing environments can be distributed with any newly published Official Statistics to the public. The dissemination of reproducible (and reusable) computational statistics platforms and services offers the prospect of actively and durably engaging the public with the Statistical Offices in the co-creation, design, implementation, testing and validation of statistical products. Indeed, not only it provides the users with the data, tools and methods to fully reproduce experiments, by rerunning or tweaking previous data analyses, it also allows them to “judge for themselves if they agree with the analytical choices, possibly identify innocent mistakes and try other routes”. We illustrate the discussion with practical tools and examples for accessing Eurostat data and metadata.