Miriam Baglioni; Alessia Bardi; Argiro Kokogiannaki; Paolo Manghi; Katerina Iatropoulou; Pedro Príncipe; André Vieira; Lars Holm Nielsen; Harry Dimitropoulos; Ioannis Foufoulas; +7 more
Miriam Baglioni; Alessia Bardi; Argiro Kokogiannaki; Paolo Manghi; Katerina Iatropoulou; Pedro Príncipe; André Vieira; Lars Holm Nielsen; Harry Dimitropoulos; Ioannis Foufoulas; Natalia Manola; Claudio Atzori; Sandro La Bruzzo; Emma Lazzeri; Michele Artini; Michele De Bonis; Andrea Dell’Amico;
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
In 2018, the European Strategic Forum for research infrastructures (ESFRI) was tasked by the Competitiveness Council, a configuration of the Council of the EU, to develop a common approach for monitoring of Research Infrastructures' performance. To this end, ESFRI established a working group, which has proposed 21 Key Performance Indicators (KPIs) to monitor the progress of the Research Infrastructures (RIs) addressed towards their objectives. The RIs were then asked to assess their relevance for their institution. The paper aims to identify the relevance of certain indicators for particular groups of RIs by using cluster and discriminant analysis. This could contribute to development of a monitoring system, tailored to particular RIs. To obtain a typology of the RIs, we first performed cluster analysis of the RIs according to their properties, which revealed clusters of RIs with similar characteristics, based on to the domain of operation, such as food, environment or engineering. Then, discriminant analysis was used to study how the relevance of the KPIs differs among the obtained clusters. This analysis revealed that the percentage of RIs correctly classified into five clusters, using the KPIs, is 80%. Such a high percentage indicates that there are significant differences in the relevance of certain indicators, depending on the ESFRI domain of the RI. The indicators therefore need to be adapted to the type of infrastructure. It is therefore proposed that the Strategic Working Groups of ESFRI addressing specific domains should be involved in the tailored development of the monitoring of pan-European RIs. Comment: 15 pages, 8 tables, 3 figures
Lamé, M.; Pittet, P.; Federico Ponchio; Markhoff, B.; Sanfilippo, E. M.;
Lamé, M.; Pittet, P.; Federico Ponchio; Markhoff, B.; Sanfilippo, E. M.;
Countries: France, Italy
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.
Publication . Part of book or chapter of book . 2018
Within the EU funded project “INCEPTION – Inclusive Cultural Heritage in Europe through 3D semantic modelling”, the use and application of H-BIM data is focused at. The project realizes innovation in 3D modelling of cultural heritage through an inclusive approach for time-dynamic 3D reconstruction of built and social environments.
Enrico Daga; Luigi Asprino; Rossana Damiano; Marilena Daquino; Belen Diaz Agudo; Aldo Gangemi; Tsvi Kuflik; Antonio Lieto; Mark Maguire; Anna Maria Marras; +5 more
Enrico Daga; Luigi Asprino; Rossana Damiano; Marilena Daquino; Belen Diaz Agudo; Aldo Gangemi; Tsvi Kuflik; Antonio Lieto; Mark Maguire; Anna Maria Marras; Delfina Martinez Pandiani; Paul Mulholland; Silvio Peroni; Sofia Pescarin; Alan Wecker;
Digital archives of memory institutions are typically concerned with the cataloguing of artefacts of artistic, historical, and cultural value. Recently, new forms of citizen participation in cultural heritage have emerged, producing a wealth of material spanning from visitors’ experiential feedback on exhibitions and cultural artefacts, to digitally mediated interactions like the ones happening on social media platforms. Citizen curation is proposed in the context of the European project SPICE - Social Participation, Cohesion, and Inclusion through Cultural Engagement - as a methodology for producing, collecting, interpreting, and archiving people’s responses to cultural objects, with the aim of favouring the emergence of multiple, sometimes conflicting viewpoints, and motivating users and memory institutions to reflect upon them. We argue that citizen curation urges to rethink the nature of computational infrastructures supporting data management of memory institutions, bringing novel challenges that include issues of distribution, authoritativeness, interdependence, privacy, and rights management. To approach these issues, we survey relevant literature towards a distributed, Linked Data infrastructure, with a focus on identifying the roles and requirements involved in such an infrastructure. We show how existing research can contribute significantly in facing the challenges raised by citizen curation, and discuss challenges and opportunities from the socio-technical standpoint.
Davide Salomoni; Isabel Campos; Luciano Gaido; J. Marco de Lucas; P. Solagna; Jorge Gomes; Luděk Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; +43 more
Davide Salomoni; Isabel Campos; Luciano Gaido; J. Marco de Lucas; P. Solagna; Jorge Gomes; Luděk Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; Lukasz Dutka; Marcin Plociennik; Roberto Barbera; Ignacio Blanquer; Andrea Ceccanti; Eva Cetinic; Mario David; Cristina Duma; Álvaro López-García; Germán Moltó; Pablo Orviz; Zdeněk Šustr; M. Viljoen; Fernando Aguilar; L. Alves; Marica Antonacci; Louis Antonelli; S. Bagnasco; Alexandre M. J. J. Bonvin; Riccardo Bruno; Y. Chen; Alessandro Costa; Davor Davidović; B. Ertl; Marco Fargetta; Sandro Fiore; S. Gallozzi; Zeynep Kurkcuoglu; Lara Lloret; João Martins; Alessandra Nuzzo; Paola Nassisi; Cosimo Palazzo; João Murta Pina; Eva Sciacca; Daniele Spiga; Marco Antonio Tangaro; Michal Urbaniak; S. Vallero; Bas Wegh; Valentina Zaccolo; Federico Zambelli; Tomasz Zok;
This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications. INDIGO-Datacloud has been funded by the European Commision H2020 research and innovation program under grant agreement RIA 653549. Peer reviewed
The interdisciplinary EU funded project INCEPTION – Inclusive Cultural Heritage in Europe through 3D semantic modelling, coordinated by the Department of Architecture of the University of Ferrara, is focused on bringing together innovative 3D modelling and ICT applications and professionals involved in different fields of Cultural Heritage. The aim is to increase knowledge, enhancement and dissemination through 3D digital models in order to promote the inclusiveness and accessibility of European assets. In this direction, a Stakeholder Panel with different skills in the field of Cultural Heritage has been involved leading the research toward effective strategies to increase use and reuse of digital models. These strategies are aimed at maximizing the impact of using digital data for cultural heritage applications involving a wide range of non-expert and expert users, starting from specific requirements for processing, managing, delivering cultural heritage information to a broad audience. A co-design workshop has been organized involving Stakeholders in order to investigate on their requirements and expectations, to obtain information that could be useful for the User Centered process of definition of INCEPTION’s main outcomes and functionalities.
Publisher: Caspur -Ciber Publishing, Roma , Italia
Project: EC | PARTHENOS (654119)
Digital Humanities Infrastructures (DHIs) are research infrastructures supporting researchers in the field of humanities by providing ICT tools and facilities for performing their studies and investigation activities. A DHI typically serves either researchers of one specific sector of humanities (e.g. history, archaeology) or focused research groups working on specific research topics (e.g. studies on the holocaust, on a specific manuscript), with little or no re-use of tools, services and data that could be shared and successfully adopted to answer research questions of different research disciplines. This fragmentation often represents a barrier to inter-disciplinary research collaborations. We present a technical framework for the federation of DHIs where tools, data, services, and knowledge available from each DHI are shared in an integrated environment where researchers can collaborate on specific research topics by creating customized Virtual Research Environments.
Publication . Conference object . Part of book or chapter of book . 2018
Here we address the roadmap of the Digital Cultural Heritage research group DigitCH group, which was set up in 2013 at the Department of Architecture, University of Florence. The aim of DigitCH group was to realize the link between scientifically validated methodologies and contents, innovative storytelling, and technological instrumentation. The spread of electronic devices has enabled rapid and easy technological fallout of research in the field of the acquisition-representation of the survey data expanding audiences and accelerating even an innovative approach to the whole knowledge of CH.