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The cooperation between Research Infrastructures (RIs) and industry plays a crucial role in achieving scientific excellence and fostering innovation potential. However, the level of cooperation and its challenges remain less defined and monitored. To address this, ESFRI undertook a study on RI cooperation, exploring existing documents and conducting surveys with RIs. The findings highlight the need for policy actions to enhance mutual benefits and overcome barriers such as different mindsets, access rules, and intellectual property rights. Understanding RIs' potential to assist industry and society is vital for optimal resource allocation and successful cooperation. The report emphasizes the importance of strategic analysis and ESFRI's role in defining the space for cooperation between RIs and technology infrastructures (TIs) to increase impact. The recommendations provided serve as a valuable input for advancing the RI-Industry cooperation landscape.

This poster aims to describe issues encountered whilst structuring a corpus of tweets compiled from the key word intermittent (arts worker) in order to analyse a discursive topic related to the controversy surrounding the status of French arts workers. This corpus is part of the CoMeRe project (CoMeRe, 2014): it aims to build a kernel corpus of computer-mediated communication (CMC) genres with interactions in the French language. Three key words characterize the project: variety, standards and openness. A variety of interactions was sought: public or private interactions as well as interactions from informal, learning and professional situations. The CoMeRe project structured the corpora in a uniform way using the Text Encoding Initiative format (TEI, Burnard & Bauman, 2013) and described each corpus using Dublin Core and OLAC standards for metadata (DCMI, 2014; OLAC, 2008). The TEI model was extended in order to encompass the Interaction Space (IS) of CMC multimodal discourse (Chanier et al., 2014). The term 'openness' also characterizes the project: The corpora have been released as open data on the French national platform of linguistic resources (ORTOLANG, 2013) in order to pave the way for scientific examination by partners not involved in the project as well as replicative and cumulative research. This poster presentation aims to give an overview of the corpus building process using, as a case study, a corpus of tweets cmr-intermittent (Longhi et al., 2016). The following steps led to the choice of tweets: 1) In 2015, with the creation of a threshold of at least 10 tweets with the #intermittent (s), we identified 215 accounts, each of which had produced at least 10 tweets explicitly referenced as contributing to this theme (in order to have representative accounts). 2) By gathering all of the tweets sent by those 215 people, we collected 586, 239 tweets. 3) 10,876 of the 586, 239 tweets contained the #: #intermittent(s): the #intermittent corpus corresponds to these 10, 876 tweets. The poster will focus, firstly, on how features that are specific to Twitter were included and structured in the interaction space TEI model. We will exemplify how certain features are accounted for in TEI. These include hashtags that label tweets in order that other users can see tweets on the same topic and at signs that allow users to mention or reply to other users. Secondly, the poster will evoke some of the ethical and rights issues that had to be considered before publishing this corpus of tweets. Finally, the workflow and multi-stage quality control procedure adopted during the corpus building process will be illustrated. International audience

The CoMeRe project (CoMeRe, 2014) aims to build a kernel corpus of computer-mediated communication (CMC) genres with interactions in the French language. Three key words characterize the project: variety, standards and openness. The project gathered mono- and multimodal, synchronous and asynchronous communication data from both Internet and telecommunication networks (text chat, tweets, SMSs, forums, blogs). A variety of interactions was sought: public or private interactions as well as interactions from informal, learning and professional situations. Whereas some CMC data types were collected within the CoMeRe project, others had previously been collected and structured within different project partners’ local research teams. This meant that the project had to overcome disparities in corpus compilation choices. For this reason, the CoMeRe project structured the corpora in a uniform way using the Text Encoding Initiative format (TEI, Burnard & Bauman, 2013) and decided to describe each corpus using Dublin Core and OLAC standards for metadata (DCMI, 2014; OLAC, 2008). The TEI model was extended in order to encompass the Interaction Space (IS) of CMC multimodal discourse (Chanier et al., 2014). The term ‘openness’ also characterizes the project: The corpora have been released as open data on the French national platform of linguistic resources (ORTOLANG, 2013) in order to pave the way for scientific examination by partners not involved in the project as well as replicative and culumative research. This poster presentation aims to give an overview of the corpus building process using, as a case study, a corpus of political tweets cmr-polititweets (Longhi et al., 2014). The corpus stemmed from a local research project on lexicon (Digital Humanities and datajournalism, supported by the Fondation of Cergy-Pontoise University). It was built starting from seven French politicians from six different political parties. In order to generate political tweets, a set of lists citing these politicians was generated (7087 lists), and lists that have tweeted at least six times and for which the description contained the word ‘politics’ were selected (120 lists in total). Finally, 2934 tweets were recovered. In order to be sure that we selected politicians’ tweets (and not, for example, those of journalists), only the accounts cited in more than 12 lists were considered; 205 politicians were tweeting. We took the last 200 tweets of each of the 205 accounts on 27 March 2014 (34,273 tweets). This allowed us to recover data that focused on the period between the two rounds of the 2014 municipal elections in France. The poster will focus, firstly, on how features specific to Twitter were included and structured in the interaction space TEI model. We will exemplify how features including hashtags that label tweets so that other users can see tweets on the same topic, at signs that allow a user to mention or reply to other users and retweets that allow a user to repost a message from another Twitter user and share it with his own followers, were integrated into the model. Secondly, the poster will evoke some of the ethical and rights issues that had to be considered before publishing a corpus of tweets. Finally, the workflow & multi-stage quality control process adopted during the building of the corpus will be illustrated. This was an essential aspect considering that the corpus underwent format conversions: the local research team had initially structured the corpus in XML whilst the CoMeRe project applied the IS TEI model to the corpus.The political tweets corpus is now structured and available online. Analyses have started to be carried out: some ideas have been launched in Djemili et al. (2014) but further analyses must adhere rigorously to methodologies stemming from the natural language processing (NLP) field. International audience

The European Commission aims to develop a more sustainable environment for research infrastructures ecosystem, and to ensure that the benefits and impacts are widely perceived by research communities and led to research excellence. This vision is reflected in a range of international and European documents. Recent work conducted by the OECD and the European Commission, particularly by ESFRI and e-IRG, have stated the need to make structural changes in the EU framework for research infrastructures (RIs). In line with this strategic vision, DARIAH intends to establish itself as a sustainable research infrastructure. DESIR (DARIAH ERIC Sustainability Refined) work package 6 TRUST contributes to DARIAH’s long-term sustainability by measuring acceptance and impact of DARIAH in new cross-disciplinary DARIAH communities and core groups. This was the base to define the theoretical and methodological framework that supported the research here presented. Therefore, this report focuses on the development of recommendations and strategies to support and increase confidence in DARIAH services and infrastructure, aiming at contributing to a major DESIR goal, which is to enlarge DARIAH by engaging new cross-disciplinary communities and considering their specific requirements. The proposed recommendations could set the basis for a broader debate within the DARIAH and RIs landscape on the actions to be taken at all decision levels in order to address a vision for longer-term sustainable RI. So, this report intends to be a policy document that aims at inspiring the future path of DARIAH, contributing to its sustainability and to fulfil the mission for which it was created. The recommendations stem from the analytical work developed from the contributions of multiple sources of information: an academically-driven multi-country survey (see D6.2); 33 qualitative interviews in three different countries; a workshop with DARIAH national coordinators held in Warsaw; contributions from DESIR partners who lead other work projects within the project; and DESIR Winter School “Shaping New Approaches to Data Management in Arts and Humanities”. After defining the entire set of recommendations, they were grouped according to three main strategic frameworks (sustainability, scope and DARIAH Strategic Plan) and visually displayed in a “Recommendations & Community Engagement Tool” (https://dariah.peopleware.pt), an open platform that supports DARIAH, strengthening the link with arts and humanities communities.The new DARIAH Strategic Plan for the next seven years, which will be followed by the publication of a Strategic Action Plan, represents a big opportunity to address sustainability, both as a conceptual level and in terms of organizational and operational configuration. Therefore, the main findings are summarized in seven key recommendations, linked with the strategic pillars of the recent published DARIAH Strategic Plan:1. Promote research excellence with inclusive, collaborative, bureaucracy free and community-driven approach.2. Ensure the integration of tools, services, data and resources within DARIAH community and with other Research Infrastructures (e.g. by gathering them on a platform such as the Marketplace).3. Foster a collaborative learning environment and anticipate the skills of the future through a joint strategy for education and training (e.g. DARIAH-CAMPUS).4. Establish a flexible, participatory and effective governance model with a clear and sustainable business plan.5. Strengthen DARIAH’s representation in European and International policy arena, expanding its visibility and cooperation outside EU borders.6. Broaden and extend DARIAH’s role, action and benefits towards the strengthening of scientific citizenship in Europe.7. Set up means for monitoring and bringing communities together, while respecting diversity on an institutional, scientific, disciplinary and methodological level.The work developed in the DESIR project - particularly this set of recommendations - could be a contribution to foster the implementation of guidelines and short and long-term actions to improve DARIAH’s sustainability and firmly establish it as a long-term leader and partner within arts and humanities communities.

We analyze changes in the business network of Interwar Yugoslavia using computational network analysis. We extract data from Compass, a yearly directory of directors in Central European companies. We combine qualitative and quantitative methods to give insight into the evolution of the Yugoslavian business in a significant historical context.

The SSH Open Marketplace is a discovery portal which pools and contextualises resources for Social Sciences and Humanities research communities: tools, services, training materials, datasets, publications and workflows. This poster presents how this service can provide insights into the use of tools, methods and standards in the DH research communities.

The digital era has brought some challenges to lexicographers, but it has also brought new opportunities as part of the rise of information technology and, more recently, the emergence of digital humanities. This paper provides a description of LeXmart, the framework that supports the digital development of the Portuguese Academy of Sciences Dictionary. LeXmart is a smart tool framework to support lexicographers' work that offers different types of tools, ranging from a structural editor to a set of validation tools. Given that the dictionary is stored in eXist-DB, LeXmart is developed on top of its ecosystem, using W3C standard languages, and offering default functionalities offered by eXist-DB, namely a RESTful API. H2020 - Horizon 2020 Framework Programme (731015)

International audience