HIRMEOS will improve five important publishing platforms for the open access monographs in the SSH and enhance their technical capacities and services, rendering technologies and content interoperable and embedding them fully into the European Open Science Cloud. The project focuses on the monograph as a significant mode of scholarly communication in the SSH and tackles the main obstacles of the full integration of important platforms supporting open access monographs and their contents. HIRMEOS will prototype innovative services for monographs in view of full integration in the European Open Science Cloud by providing additional data, links and interactions to the documents, paving the way to new potential tools for research assessment, which is still a major challenge in the SSH. The platforms participating (OpenEdition Books, OAPEN Library, EKT Open Book Press, Ubiquity Press and Göttingen University Press ) will be enriched with tools that enable identification, authentication and interoperability (DOI, ORCID, Fundref), and tools that enrich information and entity extraction (INRIA (N)ERD), the ability to annotate monographs (Hypothes.is), and gather usage and alternative metric data. HIRMEOS will also enrich the technical capacities of the Directory of Open Access Books (DOAB), a most significant indexing service for open access monographs globally, to receive automated information for ingestion, while it will also develop a structured certification system to document monograph peer-review. Partners will develop shared minimum standards for their monograph publications, such that allow the full embedding of technologies and content in the European Science Cloud. Finally, the project will have a catalyst effect in including more disciplines into the Open Science paradigm, widening its boundaries towards the SSH.

The exponential growth of data in the digital age has led to the development of powerful techniques for effectively harnessing digital information and discovering new knowledge. In this context, Text and Data Mining (TDM) enables researchers from different disciplines to analyse, extract insights and knowledge, and exploit diverse and complex datasets from various digital media. However, the present use of TDM in Europe is significantly lower than in the US and Asia, most probably due to limitations imposed by the European legal framework. In this light, the FutureTDM project identifies and reduces the barriers that inhibit the uptake of TDM for researchers, and innovative businesses. FutureTDM provides critical up-to-date assessments of legal regulations and policies impacting TDM in the EU, and places them in the international research and innovation context. It adopts a bottom-up approach by initiating dialogue between all relevant stakeholders, engaging them via knowledge cafés, workshops and representation on the advisory board to help identify barriers, common solutions and increase awareness of TDM practices and their potential. This combined approach will lead to developing novel policy frameworks and interdisciplinary case-driven practitioner guidelines facilitating the spread of TDM activities. Key to success will be the engagement of actors in the broader community (libraries, publishers, funders, etc.), who will be mobilised through workshops and will be provided with targeted recommendations in the Roadmap for TDM’s uptake. The knowledge distilled from quantitative and qualitative research will be integrated into a Collaborative Knowledge Base and Open Information Hub (www.FutureTDM.eu) using insightful visualisations. This dynamic platform will showcase excellence in TDM research and data-driven innovation and serve as reference for current and future TDM practitioners ensuring broader TDM uptake to boost Europe’s research and innovation capacities.