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International audience; In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background search. Organising and making sense of all this data can be challenging as many historians continue to rely on analog or basic digital tools. We built an integrated note-taking environment for historians which unifies a set of func-tionalities we identified as important for historical research including editing, tagging, searching, sharing and visualization. Our approach was to involve users from the initial stage of brainstorming and requirement analysis through to design, implementation and evaluation. We report on the process and results of our work, and conclude by reflecting on our own experience in conducting user-centered visual analytics design for digital humanities.

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; Le web sémantique et l'ouverture des données (publications, archives, référentiels) dans les sciences humaines et sociales (SHS) ont permis la création outils de recherche nouveaux permettant à la fois de créer des portails documentaires (autour de moteurs de recherche sémantiques) et des applications pouvant être embarquées dans des sites web. ISIDORE, l'accès unifié aux données, publications et informations des SHS entre dans cette catégorie. Lancé en 2010 par le CNRS et actuellement développé par Huma-Num, ISIDORE propose, outre un moteur de recherche sur le web, une collection d'applications permettant de l'utiliser de façon « embarqué » pour des usages aux plus près des besoins des enseignants-chercheurs et des étudiants.

The European Holocaust Research Infrastructure (EHRI) portal website aims to aggregate digitally available archival descriptions concerning the Holocaust. This portal is actually a meta-catalogue, or an information aggregator, whose biggest goal is to have up-to-date information by means of building sustainable data pipelines between EHRI and its content providers. Just like in similar archival information aggregators (e.g. Archives Portal Europe or Monasterium), the XML-based metadata standard Encoded Archival Description (EAD) plays a key role. The article presents how EADs are imported into the portal, mainly thanks to the Open Archive Initiative protocols.

One of the challenges encountered by the EOSCpilot project was to gather structured feedback from a wide variety of potential stakeholder about the ‘moving target’ that is the European Open Science Cloud (EOSC). EOSC was at its early stage of construction, pilot proof of concept of services were constructed at the same time stakeholder mapping was performed and Governance was being designed by the project (and by the European Commission in parallel, providing a roadmap of EOSC present and future projects). This interaction of projects and initiatives was designed to conduct a fast-paced implementation of the EOSC, combining a top-down and bottom-up approach, where results from piloting the proof-of-concept provide input into the overall design. In this context, this Report on Governance Piloting Process describes the methodology used for a structured bottom-up approach of EOSCpilot Work Package 2, and how it was used by the different tasks (Stakeholder mapping, Governance framework design, Rules of participation, Business model), contributing to the Governance Development Forum. In addition to traditional tools such as surveys, webinars, workshops and conferences, a specific tool with an interactive platform was used to gather audience feedback.

International audience; CIDOC CRM is an ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information. The Semantic Web with its Linked Open Data cloud enables scholars and cultural institutions to publish their data in RDF, using CIDOC CRM as an interlingua that enables a semantically consistent re-interpretation of their data. Nowadays more and more projects have done the task of mapping legacy datasets to CIDOC CRM, and successful Extract-Transform-Load data-integration processes have been performed in this way. A next step is enabling people and applications to actually dynamically explore autonomous datasets using the semantic mediation offered by CIDOC CRM. This is the purpose of OpenArchaeo, a tool for querying archaeological datasets on the LOD cloud. We present its main features: the principles behind its user friendly query interface and its SPARQL Endpoint for programs, together with its overall architecture designed to be extendable and scalable, for handling transparent interconnections with evolving distributed sources while achieving good efficiency.

The paper introduces into a new Science Gateway, developed in the framework of the European Horizon 2020 project EGI Engage - DARIAH Competence Centre, which started in March 2015 co-funded by the European Union, with the participation of about 70 (research) units in over 30 countries. In this paper the authors focus on trans-disciplinary collaboration in the framework of explorative lexicography in cultural context. On the one hand, they give a short overview of the architecture of the Science Gateway, used techniques, and specific applications and services developed during the DARIAH Competence Centre. On the other they mainly focus on possible added value and changes concerning work flow for Lexicographers and researchers on Lexical resources. This is exemplified on the European network of COST action IS 1305 “European Network of electronic lexicography (ENeL)”.

International audience

The DDRS - or Data Deposit Recommendation Service - recommends research data repositories to humanities researchers searching for deposit services for their research data, which comply to criteria such as PIDs, funders’ requirements, disciplinary scope or language preferences. The presentation shows the DDRS as re3data use case and explains how the relation between the web service (DDRS) and re3data for the information retrieval is implemented. The DDRS is a demonstrator has been delivered in 2017 within the Humanities at Scale project, a DARIAH-EU undertaking, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 675570. {"references": ["https://hal.archives-ouvertes.fr/hal-03020703v1"]}