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The EOSC Metadata Cataloguing and Indexing service comprises the management of metadata in the whole life cycle from generation up to uploading and indexing metadata in a searchable catalogue.

The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more. The proliferation of digital mobility data, such as phone records, GPS traces, and social media posts, combined with the outstanding predictive power of artificial intelligence, triggered the application of deep learning to human mobility. In particular, the literature is focusing on three tasks: next-location prediction, i.e., predicting an individual's future locations; crowd flow prediction, i.e., forecasting flows on a geographic region; and trajectory generation, i.e., generating realistic individual trajectories. Existing surveys focus on single tasks, data sources, mechanistic or traditional machine learning approaches, while a comprehensive description of deep learning solutions is missing. This survey provides: (i) basic notions on mobility and deep learning; (ii) a review of data sources and public datasets; (iii) a description of deep learning models and (iv) a discussion about relevant open challenges. Our survey is a guide to the leading deep learning solutions to next-location prediction, crowd flow prediction, and trajectory generation. At the same time, it helps deep learning scientists and practitioners understand the fundamental concepts and the open challenges of the study of human mobility.

This deliverable is the second and final release of the EOSC Service Architecture. It sets the foundations characterising the EOSC System:(i) Its functionalities are provisioned as-a-Service; (ii) It is a highly distributed, evolving and heterogeneous hybrid cloud; (iii)Its operation and development is regulated by a set of Rules of Participation; (iv) It is modelled as an open and evolving System of Systems (SoS) where the component systems providing services include existing and emerging Research Infrastructures (including e-Infrastructures) and other types of Service Providers; (v) EOSC services provision is based on an open and evolving set of EOSC Nodes spread across several organisations and regions; (vi) EOSC Services should promote and support FAIRness. The deliverable identifies 47 classes of services that can be considered at this stage of development as the "Minimal Viable Product" able to match the EOSC overall goal. Such services include cross-cutting services together with services specifically envisaged to serve researchers, research administrators, third-party service providers as well as EOSC managers, service providers and service suppliers. This deliverable briefly highlights major contextual aspects already introduced in D5.1 and then describes the identified classes of services. The deliverable also discusses aspects related to "how" the system can/should be developed. The notions of "federation" and "interoperability" related to the building of this EOSC System are addressed highlighting the importance of dealing with these two concepts per-single service rather than from the perspective of EOSC as a whole.

The aim of this deliverable is to present a process specification for secure sharing of and access to personalized medicine (PM) data. The intention is that a producer of data can share and the user of the data can gain access to personalized medicine (PM) data in a secure and legal, yet easiest possible manner. For the specification described in this deliverable, close cooperation with the Secure Access Work Package (WP) 5 has been of high relevance. Previous work in WP5 started with the specification of a usage scenario for PM, and the identification of regulations, privacy and security requirements, which were presented by deliverable D5.1 [1]. Deliverable D5.2 further elaborated the work of D5.1 and published templates of relevant forms under http://www.biomedbridges.eu/deliverables/52-0. Next, a security architecture and framework has been developed in WP5 and described in deliverable D5.3. Secure access to and sharing of PM data is one of the most relevant use cases for this architecture. Deliverable D8.1 on its part will massively build upon D5.3. As a follow-up, a proof of concept is planned, which will be covered by a forthcoming deliverable, D8.3. Cooperation with the Technical Integration Work Package 4 will be sought for this step. Deliverable D8.1 relies on the security and privacy architecture which has been developed and put forward in deliverable D5.3 of the Secure Access Work Package 5. This architecture has been developed to support the security and privacy requirements of all the Use Case (UC) WPs, i.e., WP6-10, including WP8 the use case of personalized medicine. Deliverable D8.1 revisits the generic security and privacy architecture presented in D5.3 to address the data management challenges of the BioMedBridges (BMB) project as a whole. It builds upon Usage Scenarios described in D5.1 and on the Data Flow Diagrams (DFDs) described in D5.3. Alltogether, D8.1 can be perceived as a particular “instantiation” of the general security architecture of BMB, with a specific focus on PM. Deliverable D8.1 is structured as follows: Section 3 provides an overview of the background of personalized medicine. Section 4 describes the methodology applied, which essentially follows the approach described in D5.3. Section 5 elaborates on the process specification conducted as a basis of a threat and risk analysis that is described in Section 6. Section 7 then explains the design of the security framework derived from the threat and risk analysis results. Section 8 puts forward processes for secure sharing of and access to personalized medicine data based on work carried out in WP5.

As a TCOM area, this specification describes Security, i.e. the standards and specifications for operational security, or “cybersecurity.” Ultimately, the purpose of security, in this sense, is to ensure that the infrastructure is trustworthy, and participants are able to carry out their legitimate work and collaborations, while protecting the infrastructure and data from unauthorised parties. In order to ensure that participants in e-infrastructures, research infrastructures, and identity federations (such as those operated by NRENs) can reduce the risk of security incidents, and collaborate on investigating, managing, and resolving security incidents, it is necessary to have a shared security operations framework. Specifically, this will cover • best practices, • security contacts, • processes for assessing severity (and hence urgency), • traceability of users, • defining, updating, and tracking users’ acceptance of acceptable use policies. In addition, the standards cover how the compliance is asserted in a machine readable way. There are also constraints on human readable information but the specification on how to implement these constraints is left to the federation operator and/or participants. It should also be noted that the wider issue of establishing, maintaining, and restoring trust – between organisations, communities, and infrastructures – is not covered here.

This document introduces the Fishery and Marine Sciences Data Analysis Sector to EGI through a top-down approach, which presents a market analysis, a domain and stakeholder analysis, and data flow analysis. In addition, a bottom-up approach was adopted and presents a survey analysis (questionnaire, interview, example initiative serving the community). The work is supported by EGI-Engage TNA2.3, and works towards its objectives by developing the EGI business engagement programme and service exploitation programme by offering services for exploitation of fishery and marine data to innovators. The expected outcome is new collaborations with SME's and other stakeholder types. This will be achieved by providing a clear introduction to the sector, its domains, stakeholders, and data value chains. Furthermore, this document allows EGI to learn the data needs and challenges of the different stakeholder types, giving insights about the community requirements, preparing EGI for any future engagement/collaboration (if desired) which could lead to the creation of future business collaborations.

Given the dynamic rate of change in the OA books business models landscape, the OPERAS Open Access Business Models Special Interest Group launched a survey in 2021 to 1) improve our understanding of the scholarly publishing landscape and of the challenges that publishers face in the context of publishing OA monographs; and 2) to identify main trends (including opportunities and challenges) and the knowledge of collaborative funding and infrastructure models in OA publishing in Social Science and the Humanities. This white paper updates and expands an earlier version published in 2021, which presented the preliminary analysis of the findings. Despite a small sample of presses meaning that no strong trends ought to be discussed, several insights were drawn and should be considered important directions for the future. Key findings in the report have been grouped into three main areas: collaboration, funding, and support. The report found that, although not opposed to the idea, a majority of presses do not engage in collaboration, specifically collaborative models for shared infrastructure, mainly due to the lack of knowledge and information, or perceived lack of need. This indicates that, for OA books, we are still at the early stage of the adoption curve for collaborative shared infrastructure. In terms of funding, most publishers perceive themselves to be somewhat sustainable. For institutional publishers, parent organisations are crucial as providers of financial or non-monetary support of OA. In addition, most publishers stress the need to have more resources and rely on more than one funding source, including grants and subsidies. The report found that awareness-raising and targeted support and training could be used to engage the presses but further incentivisation may be required to encourage publishers to collaborate more widely. We believe that the insights from this white paper may be interesting to a number of projects, such as DIAMAS, OPERAS-PLUS, and Palomera and have presented areas for further research and more specific actionable points for these projects.

The major objective of ENVRIplus is to facilitate research in environmental science by encouraging movement towards a consistent and integrated view of data, processing and resources to meet emerging domain-specific and interoperation research needs. The adoption of common and cross-cutting ICT services by RIs (Research Infrastructures) reduces cost (re-use) and increases interoperation (standardisation). A key aspect of ENVRIplus is the reference architecture to be adopted by new RIs and towards which existing RIs should aim to align. Based on the ENVRI Reference Model, the architecture brings together all the aspects of the ICT (Theme 2) activities of ENVRIplus into a coherent framework to achieve those objectives. The architecture must sit within some constraints. ICT best practice is mandatory. Parallel initiatives in other ESFRI RIs and global consortia must be respected. Developments in e-Is (e- Infrastructures) provide opportunities for alternative deployment of applications. An appropriate interfacing mechanism between RIs and e-Is will provide for evolution of both RIs and e-Is while maintaining provision of service. Similarly, developments in VREs (Virtual Research Environments) offer improved opportunities for researchers (and other users) to access multiple RIs while appropriate interfacing will allow evolution of both RIs and VREs to sustain the consistent and integrated facilities built on the resources delivered by collaborating RIs. The degree of alignment with the architecture by RIs will improve their ability to present a research environment that supports research campaigns that need resources and capabilities from multiple RIs. The development of the ENVRIplus architecture is therefore continuous, and this deliverable (D5.5) presents the current state of progress at this point in the project. Further work on the RM (Reference Model) will provide specifications based on engineering and technology viewpoints at which time a conventional architectural design document can be produced.

The objective of Workpackage 4 of the European Marine Observation and Data network (EMODnet) is to fill spatial and temporal gaps in European marine species occurrence data availability by carrying out data archaeology and rescue activities. To this end, a workshop was organised in the Hellenic Center for Marine Research Crete (HCMR), Heraklion Crete, (8–9 June 2015) to assess possible mechanisms and guideCorrespondinglines to mobilise legacy biodiversity data. Workshop participants were data managers who actually implement data archaeology and rescue activities, as well as external experts in data mobilisation and data publication. In particular, current problems associated with manual extraction of occurrence data from legacy literature were reviewed, tools and mechanisms which could support a semi-automated process of data extraction were explored and the re-publication of the data, including incentives for data curators and scientists were reflected upon.

A one day workshop, organised by ELIXIR, BioMedBridges and RDA, was held on 16 October 2014 in Brussels to kick-start agreement on a common ‘topics’ vocabulary to classify resources in the life sciences domain, including databases, tools, courses, training materials, meetings, jobs and publications. Service providers and registries currently use different vocabularies to classify resources. From the user point of view, a common topics vocabulary would enhance the ability to find related resources of interest. From the provider point of view, a common vocabulary would be an important step to facilitate the interoperability of existing resources and significantly increase the impact and reach to different user communities. Workshop participants, who also discussed use cases and how agreement on high-level terms would positively impact the different communities, included representatives of societies, networks, institutes, organisations, research infrastructures and projects, as well as BioMedBridges project partners and members of several ELIXIR Nodes. The workshop, both in terms of participation and the reaction in the wider community, revealed that there is widespread interest in and support for the development of a common topics vocabulary, and it provided the basis and strategies for moving forward. While there was general agreement on the aims and content of the vocabulary proposed at the workshop, there were indications that the structure may need further discussion. Ultimately, wide adoption is necessary to realise potential impact. To achieve this, a critical mass of initial resources needs to adopt the vocabulary to be able to demonstrate its utility with the first use cases. Funding will eventually be necessary to further develop and adapt the vocabulary itself as well as to develop further applications.