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Introduction The scholarly monograph has been compared to the Hapsburg monarchy in that it seems to have been in decline forever! It was in 2002 that Stephen Greenblatt, in his role as president of the US Modern Language Association, urged his membership to recognise what he called a ‘crisis in scholarly publication’. It is easy to forget now that this crisis, as he then saw it, had nothing to do with the rise of digital technologies, e-publishing, or open access. Indeed, it puts his words in...

International audience; The reflections in this chapter stem from the perspective of the DARIAH-ERIC,a distributed infrastructure for the arts and humanities. They explore how impactcan take a variety of forms not always considered when the term is applied in astrictly technocratic sense, and the idea that focussing on the user of a research infrastructuremay not describe an optimal relationship from an impact perspective.The chapter concludes by presenting three frames of reference in which an infrastructurelike DARIAH can have impact: to foster excellence through impact on researchers,promote fluidity through impact on policymakers, and support efficiencythrough impact on our partner organisations.

International audience; This paper concerns epistemology and the understanding of research processes in Humanities, such as Archaeology. We believe that to properly understand research processes, it is essential to trace them. The collected traces depend on the process model established, which has to be as accurate as possible to exhaustively record the traces. In this paper, we briefly explain why the existing process models for Humanities are not sufficient to represent traces. We then present different process models from Information Systems Engineering that allow tracing processes according to different perspectives such as activities, decisions or strategies. We assume these process models can be useful to represent research processes in Humanities coherently and thoroughly.

International audience; Humanities have convincingly argued that they need transnational research opportunities and through the digital transformation of their disciplines also have the means to proceed with it on an up to now unknown scale. The digital transformation of research and its resources means that many of the artifacts, documents, materials, etc. that interest humanities research can now be combined in new and innovative ways. Due to the digital transformations, (big) data and information have become central to the study of culture and society. Humanities research infrastructures manage, organise and distribute this kind of information and many more data objects as they becomes relevant for social and cultural research.

International audience; How can political roadmaps, action plans and principles on open science be translated into pragmatic and realistic research data policy on a French university campus? How can an open science ecosystem be implemented in the specific environment field of social sciences and humanities? After a couple of scientific projects on research data conducted since 2013 at the University of Lille, we carried out interviews with about 50 researchers, PhD students, data engineers, laboratory and project managers, with three objectives:1.To place the researchers at the heart of the implementation of the open science ecosystem on the campus, with their needs, priorities and doubts.2.To identify opportunities and locks for a data policy.3.To recommend ten actions to develop the data culture on the campus.Conducted as an audit on the human and social sciences campus of the University of Lille, our study has a pragmatic scope: to identify the essential elements for a coherent policy of the production, management and reuse of research data on a campus in the humanities and social sciences, and thus contribute to the appropriation of the concept of open science by the development of a “culture of the data”. The national action plan states that there is still a lot of work to be done to make open science a part of scientific practice. To succeed, such an approach requires knowledge of the reality of the field; it needs the support of research communities, the coordination of all actors on the campus, and institutional and scientific steering. It will take time. But it is a necessary investment to maintain excellence in research. This paper makes ten proposals how to go there.

International audience; This chapter gives an overview of one possible staged methodology for structuring LCI data by presenting a new scientific object, LEarning and TEaching Corpora (LETEC). Firstly, the chapter clarifies the notion of corpora, used in so many different ways in language studies, and underlines how corpora differ from raw language data. Secondly, using examples taken from actual online learning situations, the chapter illustrates the methodology that is used to collect, transform and organize data from online learning situations in order to make them sharable through open-access repositories. The ethics and rights for releasing a corpus as OpenData are discussed. Thirdly, the authors suggest how the transcription of interactions may become more systematic, and what benefits may be expected from analysis tools, before opening the CALL research perspective applied to LCI towards its applications to teacher-training in Computer-Mediated Communication (CMC), and the common interests the CALL field shares with researchers in the field of Corpus Linguistics working on CMC.

International audience; The goal of the present chapter is to explore the possibility of providing the research (but also the industrial) community that commonly uses spoken corpora with a stable portfolio of well-documented standardised formats that allow a high re-use rate of annotated spoken resources and, as a consequence, better interoperability across tools used to produce or exploit such resources.