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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.

Proceedings of the Conference: "Impact of Social Sciences and Humanities for a European Research Agenda - Valuation of SSH in mission-oriented research" VIENNA 2018

The Charter of the EOSC Task Force on Researcher Engagement and Adoption, set-up in September 2021, states that ���The overarching principle for developing EOSC is that research has to be at the core of the EOSC initiative. Thus, deep engagement with research communities is fundamental in order to understand their needs and requirements and ensure that the way in which EOSC operates and the existing and future community services are of use and value to researchers and respect the academic sovereignty of scientific results, research data and digital objects���. Over the last 36 months, FAIRsFAIR has provided practical solutions for the implementation of FAIR data principles throughout the research data life cycle. This has been achieved by fostering FAIR data culture and the uptake of good practices in making data FAIR. The FAIRsFAIR project addressed the development and concrete realisation of academic quality data management, procedures, standards, metrics and related matters, based on the FAIR principles. The engagement of European stakeholders was fundamental across all the activities. To that end, a mix of channels was used with the ultimate aim to ensure active participation and an overall feeling of being part of an enlarged community. For example, a bottom-up approach was established wherever possible and relevant; adaptation and flexibility ensured that the best engagement channels were used to reach each target community. It is important to highlight how the outbreak of the COVID-19 pandemic and the resulting decision to organise workshops as online events had a positive impact on allowing interested participants in several activities to be reached. In particular, the switch to online events was instrumental in involving professionals from universities and other higher education institutions, who usually experience a different set of capacity and budgetary challenges, in attending physical events held outside or far from their countries. But this was also true for other events including the Synchronisation Force series, the national roadshows and the data steward instructor training. The participation of different stakeholders in the online workshops greatly enriched the discussions and contributed to shift the focus from Europe-centric issues involving FAIR research data with international insights and experiences. In order to present the impact achieved, this document presents the activities performed and analyses the related results around the FAIRsFAIR main stakeholders.

This document describes a methodology for FAIR-by-design production of learning materials based on the backward instructional process that is extended with additional activities focusing on the implementation of the FAIR guiding principles. A general discussion on important aspect of implementation such as granularity, scope, metadata schema, interoperability and publication in relevant repositories is provided together with a step by step six stage workflow and checklists that help implement the FAIR-by-design process. The outlined methodology will be used as a blueprint for a train-the-trainer course aiming to present the practical FAIR-by-design instructional design.

This second version of the Data Management Plan (DMP) follows the template structure for an Open Research Data Pilot (ORDP) (section 2). As elaborated in the first version of the DMP (Admiraal et al. 2021), we see data management planning as inherent part of the overall knowledge exchange coordination in the project, and therefore closely related to the development of the socio-technical roadmap (Guillotel-Nothmann et al. 2022). In the first section Introduction we summarise Polifonia’s approach towards data management planning. We further detail the progress made from the DMP version 1 to 2, and by which methods those were achieved. In section 2 Polifonia Data Management Plan, we use the ORDP template, to document the achievements of data management in Polifonia, and discuss main achievements of Polifonia such as the Polifonia Ecosystem, the Polifonia Knowledge Graph, and Polifonia Ontology and the Polifonia Portal from the point of view of best practices in data management. A short Outlook section summarises tasks and steps toward the DMP version 3.

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.

From January 2019 to April 2022 SSHOC transformed the current social sciences & humanities data landscape with its disciplinary silos and separate facilities into an integrated, cloud-based network of interconnected data infrastructures. The final conference programme was designed to showcase the results achieved, lever on the valuable synergies built and learn about user stories from the community. There was also time to reflect on policy & sustainability issues and look towards the future. The SSHOC Final Conference brought together 290 of which 90+ joined in Brussels from Research infrastructures, Researchers, Research Libraries and Archives, EOSC key-players, industry and policymakers from the Social Sciences and Humanities and beyond.