Deliverables
This report will define the communication strategy and plan and describe the activities SLICES-DS partners will pursue to guarantee broad visibility, promotion and up-take of SLICES-RI.
The deliverable presents the summary of collected requirements and needs from the scientific community
This deliverable summarises capabilities of state-of-the-art ICT-based Research Infrastructures.
Description of the services provided to the community and their principles.
This document will update the communication and dissemination strategy plan as appropriate and report on M12 activities. It will also include input about what have been the most effective communication tools and channels in terms of community reach, and report on activities pursued to grow social media innovation community and engagement of stakeholders.
This deliverable will provide report on the focused study how to integrate SLICES infrastructure and services with the EOSC infrastructure and support Open Science and Open Data initiatives (in Europe). Requirements will be specified and recommendation for design produced.
Gather inputs for the design of the reference architecture, ranging from components to interfaces.
This deliverable will specify metadata that will be used to describe datasets produced by SLICES, providing an analysis of the elements covered by the Open Research Data Pilot in Horizon 2020, for both SLICES-DS and the future SLICES-RI (incl. an update of the DMP).
This deliverable will provide a report with the devised policies and procedures for regulating management and publication of research data produced by the SLICES project and Research infrastructure in compliance with the European Open Access policy and Open Research Data Pilot. This deliverable be aligned with the Deliverable D7.1 defining the Ethical issues in data sharing and compliance with the GDPR.
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Publications
Author(s): Christos Amyrotos, Panayiotis Andreou, Panagiotis Germanakos
Published in: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021, Page(s) 175-180
DOI: 10.1145/3450614.3462241
Author(s): Panagiotis Germanakos, Zacharias Lekkas, Christos Amyrotos, Panayiotis Andreou
Published in: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021, Page(s) 142-149
DOI: 10.1145/3450614.3462236
Author(s): Claudio Cicconetti, Marco Conti, Andrea Passarella
Published in: IEEE Transactions on Network and Service Management, Issue 18/2, 2021, Page(s) 2166-2180, ISSN 1932-4537
DOI: 10.1109/tnsm.2020.3023305