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Submitted by sdum uminho (rcaap@sdum.uminho.pt) on 2020-07-03T17:04:49Z No. of bitstreams: 1 EOSC Synergy Landscape Analysis Portugal - Final.pdf: 1576516 bytes, checksum: bf3d92a85001af6cdae1a74459d49b9e (MD5) Made available in DSpace on 2020-07-03T17:04:49Z (GMT). No. of bitstreams: 1 EOSC Synergy Landscape Analysis Portugal - Final.pdf: 1576516 bytes, checksum: bf3d92a85001af6cdae1a74459d49b9e (MD5) Previous issue date: 2020-05-29 info:eu-repo/semantics/publishedVersion

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.

SHAPE-ID has been funded by the European Commission to explore the challenge of how to better support the integration of Arts, Humanities and Social Sciences (AHSS) perspectives into interdisciplinary research with Science, Technology, Engineering and Mathematics (STEM) and other scientific disciplines, including Medicine, particularly in the context of addressing societal challenges. In this context, SHAPE-ID Work Package 3 (WP3) organised a series of workshops to learn directly from the experiences of researchers from across disciplines, as well as policy makers, funders and representatives from research performing organisations, industry and the cultural sector. This deliverable comprises two parts: Section A illustrates the matrix for integration of learning cases and the framework of analysis that was co-designed with the SHAPE-ID partners at the Co-Design Workshop, held at ISINNOVA, in Rome, on 13-14 June 2019. Section B illustrates a challenge-oriented research evaluation framework, criteria and tools proposed to evaluate research projects, as well as an evaluation methodology proposed for the learning workshops.

Launch of a new open methods review journal that puts digital methods into the context of their use in digital humanities projects.

his document is Deliverable 6.1, “Impact Assessment document”, elaborated in the context of E-RIHS PP, WP-06, Task 6.4. The two analysis of this task have been outsourced and, following a public tender, the procurer organization is Centre for Industrial Studies (CSIL), located in Milano, Italy.

Due at the end of the project, (with preliminary results to be presented at the final event), including proof of concepts and pilot implementations of at least three new services.

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.

TRAME is a research infrastructure for medieval manuscripts. The TRAME engine scans a set of sources for searched terms and retrieves links to a wide range of possible information, from simple reference, to detailed manuscript record, to full text transcriptions. Currently, it is possible to perform queries by: free-text, shelfmark, author, title, date, copyst or incipit, on more than 80 selected scholarly digital resources across EU and USA. Since 2014 September 1st, TRAME has entered a new phase and the current work is focused on: extending the meta-search approach to other web resources, leveraging the users interaction to define an ontology for medieval manuscripts, re-designing the front-end towards a new UX approach.