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The authors also acknowledge the support and collaboration of many other colleagues in their respective institutes, research communities and IT Infrastructures, together with the funding received by these from many different sources. These include but are not limited to the following: (i) The Worldwide LHC Computing Grid (WLCG) project is a global collaboration of more than 170 computing centres in 43 countries, linking up national and international grid infrastructures. Funding is acknowledged from many national funding bodies and we acknowledge the support of several operational infrastructures including EGI, OSG and NDGF/NeIC. (ii) EGI acknowledges the funding and support received from the European Commission and the many National Grid Initiatives and other members. EOSC-hub receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 777536. (iii) The work leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 730941 (AARC2). (iv) Work on the development of ESGF's identity management system has been supported by The UK Natural Environment Research Council and funding from the European Union's Seventh Framework Programme for research, technological development and demonstration through projects IS-ENES (grant agreement no 228203) and IS-ENES2 (grant agreement no 312979). (v) Ludek Matyska and Michal Prochazka acknowledge funding from the RI ELIXIR CZ project funded by MEYS Czech Republic No. LM2015047. (vi) Scott Koranda acknowledges support provided by the United States National Science Foundation under Grant No. PHY-1700765. (vii) GÉANT Association on behalf of the GN4 Phase 2 project (GN4-2).The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 731122(GN4-2). (viii) ELIXIR acknowledges support from Research Infrastructure programme of Horizon 2020 grant No 676559 EXCELERATE. (ix) CORBEL life science cluster acknowledges support from Horizon 2020 research and innovation programme under grant agreement No 654248. (x) Mirjam van Daalen acknowledges that the research leading to this result has been supported by the project CALIPSOplus under the Grant Agreement 730872 from the EU Framework Programme for Research and Innovation HORIZON 2020. (xi) EISCAT is an international association supported by research organisations in China (CRIRP), Finland (SA), Japan (NIPR), Norway (NFR), Sweden (VR), and the United Kingdom (NERC). This white-paper expresses common requirements of Research Communities seeking to leverage Identity Federation for Authentication and Authorisation. Recommendations are made to Stakeholders to guide the future evolution of Federated Identity Management in a direction that better satisfies research use cases. The authors represent research communities, Research Services, Infrastructures, Identity Federations and Interfederations, with a joint motivation to ease collaboration for distributed researchers. The content has been edited collaboratively by the Federated Identity Management for Research (FIM4R) Community, with input sought at conferences and meetings in Europe, Asia and North America.

International audience; In this paper, we present an online communication-driven decision support system to align terms from a dataset with terms of another dataset (standardized controlled vocabulary or not). Heterotoki differs from existing proposals in that it takes place at the interface with humans, inviting the experts to commit on their definitions, so as to either agree to validate the mapping or to propose some enrichment to the terminologies. More precisely, differently to most of existing proposals that support terminology alignment, Heterotoki sustains the negotiation of meaning thanks to semantic coordination support within its interface design. This negotiation involves domain experts having produced multiple datasets.

The deliverable reports on the collaborative methodology and tools for the technical development of the Pilots of the Polifonia Project. Technical development is coordinated by a Technical Board that designed a methodology inspired by agile software development methodologies, adapted to the needs of a research project consortium. Developers and domain experts are engaged in collaborative workshops in a co-creation process that leads to the identification of task-oriented working groups. These are developed autonomously and associated to Work Package activities. Technical outputs of the activities are collected and harmonised into a Polifonia Ecosystem - a collection of resources for musical cultural heritage preservation and reuse (software, end-user tools, data, requirement specifications, documentation, etc...). The collaborative tools for development are centred on a share space on GitHub, a Discord server for instant messaging, and a mailing list. The deliverable report on the initial work conducted on the pilots, particularly focusing on highlighting collaboration among consortium partners and shared of expertise between domain experts (musicologists, music historians) and technology experts. Finally, the deliverable illustrates preliminary plans for a Polifonia Web Portal, an aggregator of Musical Heritage Knowledge.

International audience; En guise de postface, il nous a semblé nécessaire de revenir sur le processus collaboratif de la fabrication de cet ouvrage et de vous confier la genèse de ce projet. Tout est parti d'un constat pragmatique, de nos situations quotidiennes de travail : le/la chercheur·e qui produit ou utilise des données a besoin de réponses concrètes aux questions auxquelles il/elle est confronté·e sur son terrain comme lors de tous ses travaux de recherche. Produire, exploiter, diffuser, partager ou éditer des sources numériques fait aujourd'hui partie de notre travail ordinaire. La rupture apportée par le développement du web et l'arrivée du format numérique ont largement facilité la diffusion et le partage des ressources (documentaires, textuelles, photographiques, sonores ou audiovisuelles...) dans le monde de la recherche et, au-delà, auprès des citoyens de plus en plus curieux et intéressés par les documents produits par les scientifiques.

To foster responsible research and innovation, research communities, institutions, and funders are shifting their practices and requirements towards Open Science. Open Science skills are becoming increasingly essential for researchers. Indeed general awareness of Open Science has grown among EU researchers, but the practical adoption can be further improved. Recognizing a gap between the needed and the provided training offer, the FOSTER project offers practical guidance and training to help researchers learn how to open up their research within a particular domain or research environment. Aiming for a sustainable approach, FOSTER focused on strengthening the Open Science training capacity by establishing and supporting a community of trainers. The creation of an Open Science training handbook was a first step towards bringing together trainers to share their experiences and to create an open and living knowledge resource. A subsequent series of train-the-trainer bootcamps helped trainers to find inspiration, improve their skills and to intensify exchange within a peer group. Four trainers, who attended one of the bootcamps, contributed a case study on their experiences and how they rolled out Open Science training within their own institutions. On its platform the project provides a range of online courses and resources to learn about key Open Science topics. FOSTER awards users gamification badges when completing courses in order to provide incentives and rewards, and to spur them on to even greater achievements in learning. The paper at hand describes FOSTER Plus’ training strategies, shares the lessons learnt and provides guidance on how to re-use the project’s materials and training approaches. Peer reviewed

Highlights, scribbling, and marginal notes: Annotation is often a private practice that we only occasionally share with others, or even more rarely share publicly. Once considered fundamental to hypertext systems, the potential of annotating digital documents is often overlooked in today's technology. As data commonly leaves our devices when collaborating, further questions arise on digital ownership and privacy. In this thesis, I examine the question of how both ownership and privacy can be ensured in the context of Digital Humanities research, which increasingly leverages interoperable infrastructures and Linked Open Data. In an explorative study, I first investigate the aspects of real-time collaboration in research tools, followed by an examination of institutional services on Peer-to-Peer (P2P) networks. By establishing interoperability between such networks and the web, I then propose two approaches for bridging those networks and strengthening privacy, ownership, and private collaboration following the paradigm of local-first software. I argue that by balancing the autonomy of peers and the determinism of the web, gateways can translate across the separation of both networks while supporting peers by providing archiving and data availability. This enables researchers to perform private and collaborative annotation, while the underlying data can be embedded into existing workflows due to the bridge between both systems. Future work concerns the viability of this approach in scholarly environments and further research on the usability of distributed systems in the academic context.

The cyber archaeometry concerns a new virtual ontology in the environment of cultural heritage and archaeology. The present study concerns a first pivot endeavor of a virtual polarized light microscopy (VPLM) for archaeometric learning, made from digital tools, tackling the theory of mineral identification in archaeological materials, an important aspect in characterization, provenance, and ancient technology. This endeavor introduces the range of IT computational methods and instrumentation techniques available to the study of cultural heritage and archaeology of apprentices, educators, and specialists. Use is made of virtual and immersive reality, 3D, virtual environment, massively multiplayer online processes, and gamification. The VPLM simulation is made with the use of Avatar in the time-space frame of the laboratory with navigation, exploration, control the learning outcomes in connection to the archaeometric multisystem work. The students evidently learned to operate the VPLM following operations made via visual and home-made scripting, gaining experience in synergy, teamwork, and understanding. The resulting meaningful effects of the cyber-archaeometry with virtual operations and virtual hands, texts, and video equip students especially for e-learning with the required basic knowledge of mineralogical examination, which help to understand and evaluate mineral identification from material culture and provides readiness and capacity, which may be refined in a real polarized light microscopy (PLM) environment.

International audience; This article presents an overview of approaches and results during our participation in the CLEF HIPE 2020 NERC-COARSE-LIT and EL-ONLY tasks for English and French. For these two tasks, we use two systems: 1) DeLFT, a Deep Learning framework for text processing; 2) entity-fishing, generic named entity recognition and disambiguation service deployed in the technical framework of INRIA.

AbstractIn this paper we present the approach proposed by EU H2020 INDIGO-DataCloud project to orchestrate dynamic workflows over a cloud environment. The main focus of the project is on the development of open source Platform as a Service solutions targeted at scientific communities, deployable on multiple hardware platforms, and provisioned over hybrid e-Infrastructures. The project is addressing many challenging gaps in current cloud solutions, responding to specific requirements coming from scientific communities including Life Sciences, Physical Sciences and Astronomy, Social Sciences and Humanities, and Environmental Sciences. We are presenting the ongoing work on implementing the whole software chain on the Infrastructure as a Service, PaaS and Software as a Service layers, focusing on the scenarios involving scientific workflows and big data analytics frameworks. INDIGO module for Kepler worflow system has been introduced along with the INDIGO underlying services exploited by the workflow components. A climate change data analytics experiment use case regarding the precipitation trend analysis on CMIP5 data is described, that makes use of Kepler and big data analytics services.