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Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use “digital laboratories” (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post-experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure. This work is partly funded by the OpenAIRE-Advance H2020 project (grant number: 777541; call: H2020-EINFRA-2017) and the OpenAIREConnect H2020 project (grant number: 731011; call: H2020-EINFRA-2016-1). Moreover, we would like to thank our colleagues Michele Manunta, Francesco Casu, and Claudio De Luca (Institute for the Electromagnetic Sensing of the Environment, CNR, Italy) for their work on the EPOS infrastructure RCD; and Stephane Pesant (University of Bremen, Germany) his work on the European Marine Science RCD. First Online 30 August 2019

International audience; This paper describes the workflow of the Grammateus project, from gathering data on Greek documentary papyri to the creation of a web application. The first stage is the selection of a corpus and the choice of metadata to record: papyrology specialists gather data from printed editions, existing online resources and digital facsimiles. In the next step, this data is transformed into the EpiDoc standard of XML TEI encoding, to facilitate its reuse by others, and processed for HTML display. We also reuse existing text transcriptions available on . Since these transcriptions may be regularly updated by the scholarly community, we aim to access them dynamically. Although the transcriptions follow the EpiDoc guidelines, the wide diversity of the papyri as well as small inconsistencies in encoding make data reuse challenging. Currently, our data is available on an institutional GitLab repository, and we will archive our final dataset according to the FAIR principles.