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Semantic interoperability (SI) is at the heart of the FAIR principles and the design of large-scale cross-disciplinary infrastructures. The European Open Science Cloud (EOSC) is a European-wide effort towards such an infrastructure, aiming to deepen regional research collaboration and realising a shared data space for science, research and innovation. In this context, the research community’s voice is represented by the EOSC Association (EOSC-A) and a number of advisory groups with a broad range of representatives from different stakeholder organisations. The advisory group on metadata and data quality has formed a task force focusing on developing and implementing recommendations for SI (EOSC SI Task Force) to converge on globally relevant and scalable SI solutions for EOSC. This paper provides context to SI in EOSC, the various components contributing to it, as well as some views on the socio-technical challenges to arriving at a consensus. In particular, the paper provides motivation for exploring the heterogeneity of SI solutions demonstrated across scientific communities and insight into the task force’s planned approach to conducting a survey to identify relevant components and structures. The paper is also an invitation to the global community to align and engage with the task force’s activities going forward., This research is a product of the Task Force "Semantic Interoperability" of the EOSC-Association European, the legal entity established to govern the European Open Science Cloud (EOSC). Complementary support and information were provided through European projects "EOSC-Life" (No824087) and "FAIR Impact" (No101057344). This paper is linked to the Supplementary Material - Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, Bénédicte, Nyberg Åkerström, Wolmar, Ojsteršek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Québec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392 This Supplementary Material will be updated during the process of the survey-completion, {"references":["Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, Bénédicte, Nyberg Åkerström, Wolmar, Ojsteršek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Québec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392"]}

This document provides supplementary material for the paper "Converging towards a Semantic interoperability framework for EOSC: understanding the different community solutions to semantic interoperability" submitted as a contribution to the 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR). Its purpose is to provide additional information and insights about the questionnaire approach proposed to survey the resources utilised by communities in addressing semantic interoperability issues. This document will be used as a guide in the implementation of the questionnaire, planned to be ready by the end of June. The survey itself will be ongoing over the summer and terminate at the end of September 2023.

EOSC-Pillar developed and integrated a set of tools and services overall supporting the construction and maintenance of an aggregated data space implementing the FAIR principles. This deliverable documents the activities and results (e.g., indicators on integrated data providers, and datasets, indicators on datasets accesses) of the operation of the EOSC-Pillar toolset enacting the development of the EOSC-Pillar data space. This is the revised and final release of this typology of deliverable offering information up to November 2022.

This deliverable documents the results of EOSC-Pillar Task 4.5 activity. It summarises its findings regarding sustainable business models collected through surveys, interviews and workshops involving EOSC stakeholders in Austria, Belgium, France, Germany and Italy. The picture emerging from these exchanges at EOSC-Pillar scale is a complex and fragmented landscape where there is no single answer to the question of the preferred Business Model for national Open Science initiatives, thematic research infrastructures and service providers. Our conclusions have to be put in perspective in the quickly evolving context at national and international levels with all the uncertainties related to the outcome of the EOSC procurement tenders by the European Commission and the evolution of the energy price. The priority is not to freeze a business model for EOSC but rather continue exploringall avenues to keep the services free at the point of use.&nbsp

Semantic interoperability is crucial for the FAIR Principles and strongly relies on Semantic Artefacts that also need to be FAIR. To achieve this, semantic artefacts require rich, structured, and interoperable metadata. The challenge lies in determining the threshold for "rich metadata" and agreeing on a common minimum set. The H2020 FAIRsFAIR project and the RDA Vocabulary Semantic Services Interest Group addressed this question by developing a "minimal metadata model" for semantic artefacts. In this paper, we present background information, methodology, discussions and workshops which contribute to the establishment of the FAIRsFAIR minimum metadata profile for semantic artefacts. We present an extension of the Metadata for Ontology Description and Publication Ontology (MOD2.0) incorporating this profile as well as its implementation (SemanticDCAT-AP) and its use to build FAIRcat, a prototype of a FAIR Data Point harvesting the content of multiple semantic artefact catalogues.

This document is an update of D5.1, a report accompanying the delivery of the bundle of service instance(s) resulting from T5.1 and T5.2 activities. It provides a short summary of the work, the list of services and how to access them as also described in D5.2. The tool set aims at offering solutions for Research Data Management promoting the implementation of FAIR principles and practices.

The Goal is to get the latest FAIR Data Point protocol supported by 1 or 2 of the working repositories selected by FAIRsFAIR at the beginning of the project, showing and proving interoperability between different implementations and automatic integration of catalogue information from different implementations. We would like to have technical people from the repositories on board, so that the implementation that will be worked on could be a branch of the official code, being close to an actual implementation by the running deployment of the repositories later. Note that what we are striving for is adding an FDP API, not replacing any existing repository functionality but adding an additional way that makes repositories more semantically interoperable and machine-actionable.

The Environmental and Earth sciences are faced with complex and dynamic challenges: they cannot be solved in isolation from each other or from other sciences, such as the social and health sciences. Researchers who tackle real world challenges must have data that are easy to use and understandable in a variety of contexts. An important element of understanding these data is the use of well-organised, community-accepted terminology for data. With the increasing uptake of the semantic web and the demand for open data, data descriptors of varying quality and technical maturity are proliferating (e.g. ESIP/RDA Earth, Space and Environmental Sciences Interest Group (ESES-IG), Semantic Resource Catalogue, 2021). These range from simple lists, through thesauri and taxonomies, to formalised ontologies. This proliferation can be extremely confusing for the practitioner (data creator or re-user), as there are no agreed criteria to support a selection decision. In addition, the variety of descriptors in the community stunts machine discovery. Elements such as community-endorsement and sustainability of terminology are essential to enable open scientific practice. Session 320 at the Virtual SciDataCon2021 presented seven experts with a range of approaches to effectively using heterogeneous environmental and earth science terms. The speakers discussed several approaches to the use of heterogeneous environmental and earth science terms, and they shared their learned experience of vocabulary implementation, the challenges they have encountered in real-world use, and their various solutions. Seven key points were highlighted in a final wrap-up of the session. After an introduction by Alison Specht (TERN, University of Queensland) on behalf of the organising team of Romain David, Margaret O'Brien, Shelley Stall and Lesley Wyborn), the speakers and their subjects were as follows: Marie Angélique Laporte (Alliance of Biodiversity International and CIAT, Switzerland), Vocabularies: How to link them and what they are-ontology flavour. Siddeswara Guru (TERN, Australia), Semantic challenges in Environmental and Earth vocabularies in Australia for an infrastructure serving a heterogeneous community. Anne-Sophie Archambeau (IRD/UMS PatriNat/ GBIF France), The long history of DarwinCore. Yvan le Bras (PNDB, MNHN, France), Vocabularies for a national biodiversity e-infrastructure. Wim Hugo (SAEON, South Africa, now at the Dutch national centre of expertise and repository for research data, DANS), Challenges and Opportunities - Semantic Interoperability and Developing Countries. Yann Le Franc (FAIRsFAIR), An overview of the FAIRsFAIR project and our work on FAIR Semantics. Barbara Magagna (Environment Agency Austria), Interoperability via the application of the I-ADOPT Framework. Shelley Stall (AGU), provided the session wrap-up., https://www.scidatacon.org/virtual-2021/sessions/320/

This document is an update of D5.1, a report accompanying the delivery of the bundle of service instance(s) resulting from T5.1 and T5.2 activities. It provides a short summary of the work, the list of services and how to access them as also described in D5.2. The tool set aims at offering solutions for Research Data Management promoting the implementation of FAIR principles and practices.

FAIR Digital Objects (FDOs) are especially needed when it comes to linking together heterogeneous data from different communities in order to advance cross-disciplinary research. However, it is still neither clear what the minimum set of attributes making a FDO is nor do we have a model for representing these attributes in a semantically unambiguous and machine-actionable way. The session will discuss requirements to be taken into account for future discussions on a semantic model for FDOs., GO FAIR Implementation Network, Go Inter, FDO Forum

This report sets out the aims, activities and outputs of EOSC Co-creation funded project 074, 'Delivery of a proof of concept for terms4FAIRskills', which developed a proof of concept version of a terminology for describing the knowledge and skills for making and keeping data FAIR. This activity has been produced with the support of EOSCSecretariat.eu, which has received funding from the European Union's Horizon Programme call H2020-INFRAEOSC-2018-4, Grant Agreement number 831644.

This report presents a study for aflexible framework to create, document and publish semanticmappings and cross-walks linking different semantic artefacts within a particular scientificcommunity and across scientific domains. These mappings and cross-walks should be FAIR, as proposed in the FAIR Semantics recommendations.The study draws on the broad expertise of the authors and 25 interviews conducted with community experts. A description fora proposed follow-up implementation project is part of the report.

EOSC-Pillar is developing and integrating a set of tools and services overall supporting the construction and maintenance of an aggregated data space implementing the FAIR principles: a Federated FAIR Data Space (F2DS). This deliverable documents the activities and results (e.g., indicators on integrated data providers, and datasets, indicators on datasets accesses) of the operation of the EOSC-Pillar toolset enacting the development of the EOSC-Pillar data space. Thefirst release of this typology of deliverable gives early indicators about the exploitation of the proposed services. The dataspace will be actually developed in the second period of the project.

This document is the second iteration of recommendations for making semantic artefacts FAIR. These recommendations result from initial discussions during a brainstorming workshop organised by FAIRsFAIR as a co-located event with the 14th RDA Plenary meeting in Helsinki. Based on the feedback received there, 17 preliminary recommendations related to one or more of the FAIR principles, and 10 best practice recommendations on semantic artefacts were documented. These recommendations were first published as Deliverable 2.2 at the beginning of 2020[1]. Following various dissemination and stakeholder engagement activities, including an evaluation workshop held in October 2020, this second iteration of recommendations and best practices are proposed. Deliverable 2.5 is a complete, reviewed and improved version of D2.2. D2.5 supersedes D2.2 [1] https://doi.org/10.5281/zenodo.3707984 &nbsp

Coordinating central-western Europe’s plug-in to the European Open Science Cloud is a challenge. But through the collaboration of key players, the foundations have been established through EOSC-Pillar within its first year. Read about the main updates from the EOSC-Pillar project: EOSC-Pillar, One Year On The National Initiatives Survey and its Importance Austria, Belgium, France, Germany, and Italy - Working towards an EOSC Federated FAIR Data Space - A Space to Federate them all The Project in Numbers Look into the Future

The goal of the Task 2.2 of the FAIRsFAIR project is to co-create both recommendations for making semantic artefacts FAIR, and a set of agreed best practices to follow together with the Semantics community at large. The term "semantic artefact" is being used here as a catchall term covering ontologies, KOS (Knowledge Organization Systems), and any other similar ‘tools’ which allow researchers and machines to describe, locate, access, and understand (meta)data. This could also include data vocabularies, code, code lists, and standards. Our goal for this workshop, arranged virtually on 15 October 2020, was to go through the recommendations one by one and discuss feedback and proposed changes in advance of the seconditeration (1Set of FAIR Semantics:https://doi.org/10.5281/zenodo.3707985).

This document is accompanying the delivery of the bundle of service instance(s) that are the output of T5.1 and T5.2 activities. It provides a short summary of the work and the list of services and how to access them. The tool-set aims atoffering solutions for Research Data Management promoting the implementation of FAIR principles and practices. This tool-set is updated every 6 months after the initial release. A major release is planned in June 2021 (PM24).

EOSC-Pillar is one of the projects resulting from the INFRAEOSC-05 call “Support to the EOSC Governance”, having as the main scope to “set up an operational framework for supporting the overall governance of the EOSC, including the coordination between relevant national initiatives.”. The other projects from the same call, sharing common activities and objectives are FAIRsFAIR, EOSC-Secretariat, EOSC-Synergy, EOSC-Nordic, NI4OS Europe, ExPaNDS. To foster collaboration between these projects, several Task Forces have been created to work on common topics: Service Onboarding, Landscaping, Dissemination and Events, National Policies and Governance, FAIR data and infrastructures, and Training and Skills. To support training activities EOSC-Pillar can build, in addition to a dedicated inter-project task force, also upon the results achieved by other initiatives in Open Science training thanks to its network of Partners that are connected and involved in such other initiatives and projects as the Community of practice of training coordinators, RDA groups on training, GoTRAIN, OpenAIRE, FOSTER. This document describes the initial activity plan for Task 5.4 (“Training modules on FAIR-oriented research data management tools and solutions”) as well as the methodology, the selected specific training themes and the type of planned event. The plan is drafted in accordance with EOSC-Pillar objectives 03and 04.

This document is the first iteration of recommendations for making semantic artefact FAIR. These recommendations result from initial discussions during a brainstorming workshop organised by FAIRsFAIR as co-located event with the 14th RDA Plenary meeting in Helsinki. We are proposing 17 preliminary recommendations related to one or more of the FAIR principles and 10 best practice recommendations to improve the global FAIRness of semantic artefacts. These initial recommendations should not be considered as a gold standard but rather as a basis for discussion with the various stakeholders of the semantic community. Deliverable 2.5 is a complete, reviewed and improved version of D2.2. D2.5 supersedes D2.2. PLEASE SEE THIS DOCUMENT:https://doi.org/10.5281/zenodo.4314320&nbsp

This report presents the results of the first year of Task 2.3from the FAIRsFAIR project. It givesguidelines to enable features for repositories which allow them not only to host FAIR digitalobjects, but also to be FAIR themselves. The recommendations were collected in the workshop“Building the data landscape of the future: FAIR Semantics and FAIR Repositories” (22 October2019, Espoo Finland) that was hosted by this task together with the FAIRsFAIR task 2.2. It derivedinput from more than 70 participants from 6 communities: the European Life SciencesInfrastructure for Biological Information (ELIXIR), the European Incoherent Scatter ScientificAssociation (EISCAT), the Social Sciences and Humanities (SSH), the Integrated CarbonObservation System (ICOS), the European network of Long-Term Ecosystem Research sites(eLTER), and the Data Publisher for Earth & Environmental Science ( Pangea). The background ofparticipants lied in infrastructures, research and libraries.

This document is the first iteration of three annual reports on the state of FAIR in European scientific data by the FAIRsFAIR project. The interpretation of the FAIR data principles and their implications for services are now under intense scrutiny across Europe with multiple possible outcomes. The report is based on studies of public information, especially EOSC infrastructure efforts, and on limited surveying and interviews. The focus has been on understanding the usage of persistent identifiers and semantic interoperability. This study highlights the rapidity of change in technical solutions and wide variation across scientific domains in the uptake. More efforts are needed to guide researchers in best practices. This report is the first of three of a kind to be produced by the FAIRsFAIR project. This deliverable reviews and documents commonalities and possible gaps regarding semantic interoperability, and the use of metadata and persistent identifiers across infrastructures. Since many landscaping, specification and “FAIRification” activities are ongoing in the EOSC projects and elsewhere, much new information will be added to the later versions. The authors hope to get feedback to enrich and adjust the observations and conclusions made in this document. FAIR Digital Objects are central to the realisation of FAIR data principles. These objects need to be accompanied by Persistent Identifiers (PIDs) and rich metadata as they sit in a wider FAIR ecosystem comprising of services and infrastructures for FAIR, including identifiers, standards and repositories. The details of the FAIR principles for data, the implementation and implications for services are neither defined nor settled yet. The first suggestions for a more specific definition of a FAIR Digital Object has only recently been presented and will be further tested within the FAIRsFAIR project. Implications of the FAIR data principles for services, repositories and software are being investigated in other FAIRsFAIR tasks. Thus, this report focuses on semantic interoperability as it is a prerequisite for linking and finding data, as well as on the identifiers, which can offer persistence but also need context sensitive solutions. We use the term semantic artefact to overcome the terminological diversity that ironically is a challenge in discussions on this important element of the architecture we need in order to enable semantic interoperability within a FAIR Ecosystem. Development and implementation of the FAIR data principles should be driven by researcher needs to achieve wide penetration and the potentially significant benefits of FAIR data. The differences within research domains are often bigger than between them. Enforcing standards comes with the risk of making gaps grow between mature and emerging research domains. Community adoption and trust are decisive factors. Enabling services for publishing crosswalks, mappings and semantic application profiles are needed. All these should be registered and published in machine readable formats. A challenge with PID and data type registries is having them to promote reuse of data rather than bulk creation of PIDs. To support interoperability, they should be considered semantic artefacts, curated and reused. The aim should be born-FAIR data, which requires integrated and user friendly solutions throughout the research process and data lifecycle. By publishing application profiles, preferably in a common registry and in a machine readable format, reuse of semantic artefacts can be promoted, thereby enabling interoperability. Also curated registries like the EOSC Hub, FAIRsharing and re3data.org are important resources for enabling implementation of the FAIR data principles. We welcome comments and feedback. It is possible to comment here: https://docs.google.com/document/d/1LPMpuDSyIhzYT6S3bG2KPecdDXn-af4bJxzX2r_xLIs/edit?usp=sharing, {"references":["https://doi.org/10.5281/zenodo.3518922"]}

Workshop abstract Are you establishing and integrating EOSC activities within your country? Do you need more support and opportunities to swap experiences on how embark on an EOSC action plan and how to reach out effectively to research communities about EOSC services? EOSC is gathering a huge momentum, and how this new research support network is established at national level is now at a critical stage, aspects of which are ongoing at a variety of implementation levels in some member states. While activities are different in each country, they could benefit from and be supported by alignment and good practice exchange. This workshop initiated by OpenAIRE, EOSC hub, and RDA-Europe will explore, with the support of the recently funded EOSCsecretariat.eu project, two areas of implementing EOSC at national level: Establishing national action plans and working with research groups and libraries to raise awareness about EOSC. In particular the workshop will touch on how to set up national action plans, set priorities especially at governance level, how to establish coordinated commitment from key stakeholders and to develop value added support and commitments for local infrastructure within the EOSC vision. Another aspect will be that of serving local research groups and how to target specific EOSC services to them, which is a challenging part of EOSC implementation. This session will be structured in a way that will showcase regional examples of EOSC implementation and good practice. The breakout sessions will be grouped at a regional level in order to identify common threads. This workshop will also provide a perfect setting to meet and network with national counterparts and help prepare and pave the way to set up EOSC and a better understanding of how EOSC works at the national level.

This document outlines a business plan for training activities beyond the lifetime of the EUDAT2020 project. We review the existing training components, together with key partner projects and organisations. An analysis of potential markets for this activity is presented. Based on experience gained within the current project, detailed costings for future events in several formats are presented. Finally, we look at possible future types of event which could be organized and how to maintain training experience outside of the existing project.

This document is the third and final status and progress report on the service building activities conducted within the EUDAT2020 project. It provides an overview of the highlights and main achievements. The service building activities concentrated in the final year on further progressing in the service developments, realizing the defined CDI architecture, the completion of two new production services. The User Documentation and Training Materials team provided continuous effort in developing and maintaining new and existing documentation and training material. While the activities in the CDI Architecture and Service Rolling Plan concentrated on addressing existing and new requirements, maintaining the service building roadmap and participate in the business offering task on defining criteria for service available, reliability and data durability. Also, an outlook is provided on how service development is sustained after the EUDAT2020 project has finished.

Based on the work described in D8.1 and D8.2, we developed initial prototypes for modeling Data Life Cycles and directives. In this document, we are describing both the processes and the results of this initial implementation. We will discuss the issues we faced in developing these prototypes and the technical choices we made. This deliverable provides an overview of the current status of the work. This work has been used as a basis for concrete implementations of community use-cases, described in D8.6.

This document provides an overview of the service building activities conducted in the second year of the EUDAT 2020 project. The service building activities in the second year concentrated on further progressing on the consolidation and integration of the existing services, on the implementation the Collaborative Data Infrastructure (or CDI) architecture with support for metadata and a HTTP API, and on addressing requirements within the service building requirements procedure established in the first year. Further, the service building activities have been supplemented by an approach to define and use Technology Readiness Levels (TRL) as used by the European Commission within the EUDAT CDI and services. An initial assessment has been made to define TLR levels on current EUDAT services, either in production or in development.

This document presents the evolution and current status of the proof of concept prototypes for the Generic Execution Framework (GEF) extensions and semantic services. These developments are grounded in the work performed by other WP8 tasks: analysis of requirements and technologies and modelling of data life cycle, directives and dynamic data.

The aim of this deliverable is to present a summary of the different technological approaches that EUDAT investigated to support the design of the prototype services and data models identified in D8.1 and implemented in task 8.2 (D8.3, data models) and task 8.4 (D8.4, service design and prototypes). This document presents the two distinct but related topics of investigation: the existing data models that could support the design of DLC models and a directive language, as well as the existing technologies to support the usage of graph-based data, workflow descriptions, directives, semantic resources and dynamic data. These descriptions are not meant to be exhaustive but reflect the results of our current state of knowledge.

Deliverable D4.7 reports on the progress and achievements of WP4 since month 12 of EUDAT2020 with respect to task 4.3 “Community Engagement” and task 4.4 “External Research & Standard Organizations Liaison”. It describes the progress with the EUDAT working group process, the interaction with the EUDAT Data Pilots. In addition, EUDAT’s contacts with the RDA and the ESFRI clusters are described.

The aim of this deliverable is to lay out the ground for future work in WP8 by providing a clear list of additional services that should be developed as well as an initial list of high-level requirements. In this document, we are presenting general DLC descriptions for core EUDAT communities and for individual researcher and citizen scientists. These DLC descriptions have been derived from community specific user scenarios and were aligned using an agreed upon list of key activities involved in DLCs. Within these descriptions, we included the planned integration of EUDAT services in the different DLC steps extracted from current and future Uptake Plans (WP4) to dissociate as much as possible existing services, requirements and new services. These descriptions provide the first attempt to associate EUDAT services to identified DLC activities and were used to list the specific needs. From these needs, we were able to identify new services and provide a list of high-level requirements that will be used to further design and prototype the new services.

Deliverable D4.4 reports on the progress and achievements of WP4 in the first 12 months of EUDAT2020 with respect to task 4.3 “Community Engagement” and task 4.4 “External Research & Standard Organizations Liaison”. It describes the start of the EUDAT working group process for this phase of the project, the first Call for Collaboration and the first EUDAT User Forum run by this second phase of EUDAT. In addition, EUDAT’s contacts with the RDA and the ESFRI clusters are described.

This document provides a comprehensive overview of the activities related to building data management services and of the architectural discussions about the EUDAT Common Data Infrastructure (CDI) that were conducted during the first year of the EUDAT2020 project. The service building activities concentrated on the consolidation and integration of the existing EUDAT services and on the uptake of new community requirements initiated from the community uptake plans and data pilots or as a result from Joint Result Activities (JRA). The discussions about the architecture of the EUDAT CDI focused on the definition of the data model used, the layered architecture and the support for metadata within the CDI. In addition, a service building roadmap was defined to facilitate communication between EUDAT and the communities and project enablers about new releases of the services and supported functionalities – the roadmap is updated every half year. Furthermore, a procedure for identifying the requirements for new or proposed services was established – this will make it easier to adapt the EUDAT CDI network to any new requirements in an agile way.

This deliverable, D6.2 “Demonstrators and success stories from the Use cases” has been structured as a handbook and guidelines for end-users around the demonstrators delivered by the Use cases involved in the WP6 EOSC-Pillar project. The description of each demonstrator has been focused on the following points: the objective, the targeted users, a summary of their provided services and user guidelines, and finally how the services proposed will be integrated into the EOSC, if this is already applicable. In reason of a six-months extension for the WP6, the deadline to submit the demonstrators shifted from M24 to M30. The present version describes the version of demonstrators available at M30. Even if it is not fully complete at least for some of the demonstrators introduced, it can be considered as an intermediate version to be used for integration and testing towards Users’ communities, as it has been scheduled until the end of the project at M42. This document is a living document and it will be updated following advances of those Use cases that expressed the need to have more time for technical improvement of their demonstrators as it is described in the second amendment to the project. An updated version will be available following ongoing progress of demonstrators’ implementation, deploying functionalities, achieving results. These elements will be addressed into the final deliverable of the WP6 EOSC-Pillar project. Learn more about the EOSC-Pillar use cases on the website:https://www.eosc-pillar.eu/use-cases