The H2020 project Open Scholarly Communication in the European Research Area for Social Sciences and Humanities – Preparation OPERAS-P (https://operas.hypotheses.org/category/operas-p) supports the development of OPERAS (https://operas.hypotheses.org/) by an application to the European Strategy Forum on Research Infrastructures (ESFRI) roadmap, the implementation of innovative services and the expansion of the consortium. In this project, the group Digital Humanities + (https://digitalhumanitiesplus.sib.swiss/#/), member of SIB Swiss Institute of Bioinformatics (https://www.sib.swiss/) and ordinary member of OPERAS, enquires by doing qualitative interviews about new models of scholarly writing in social sciences and humanities (SSH), in partnership with the Digital Research Infrastructure for the Arts and Humanities DARIAH (https://www.dariah.eu/about/dariah-in-nutshell/). This paper argues that research data belongs to these new models of writing and produces content knowledge as articles and monographs do. In Life Sciences, the practice of publishing research data (https://www.elsevier.com/authors/author-resources/research-data) along an article is well established, from raw or processed data files to software, code, etc. New initiatives in SSH let scholars publish research data: a Brill journal (https://brill.com/view/journals/rdj/rdj-overview.xml) focuses on commenting datasets, in collaboration with the Dutch National Data Service DANS (https://dans.knaw.nl/en) (Edmond-Romary, 2020, 74); De Gruyter proposes databases and reference works (https://www.degruyter.com/page/databases?lang=en). When national funding agencies are requesting data management plans in SSH projects, scholars are invited to think about the writing of the research data and metadata to participate to open science by using public open depositories like Nakala (https://www.nakala.fr/). Such requests imply a continuous discussion between the diverse stakeholders about the data storage, curation and interoperability, from the scholar’s laptop to the European Science Cloud EOSC (https://www.eosc-portal.eu/).