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This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/7937430. Thank you for this work. However, it is important to note that not all resources in the comparison table are the same type: some are ontology look-up services / repositories (e.g., AgroPortal, OLS), others are wider registries of standards/databases/policies (e.g., FAIRsharing), including -- but not limited to -- ontologies. As such, their scope and functionalities are inevitably different. This means that, for resources like FAIRsharing, many of the dimensions (e.g. machine-readability and human readability) are implemented, but relevant to what is in scope for the resource. We suggest that this distinction is make clear. More specifically for FAIRsharing, the following dimension features should be enabled in addition to those already selected (unless I am misunderstanding your definitions, in which case please get in touch if you have any questions): custom vs standard vocabulary: we have a custom vocabulary for describing all FAIRsharing records, however this draws from a set of standard vocabularies. How can this be best represented? curation by owner (our maintainers *are* the owners of the resource) human readable machine readable metadata by editor governance rules governance description community suggestion transparency versioning Finally, as a generic comment, the 'fully' vs 'customised' oss doesn't take into account if the system runs on partially (but not completely) open-source software. Thank you. Best wishes, Allyson Lister, FAIRsharing Content and Community Coordinator (contact@fairsharing.org) Competing interests The author declares that they have no competing interests.

The Horizon Europe project ISIDORe is dedicated to pandemic preparedness and responsiveness research. It brings together 17 Research Infrastructures (RIs) and networks to provide a broad range of services to infectious disease researchers. An efficient and structured treatment of data is central to ISIDORe’s aim to furnish seamless access to its multidisciplinary catalogue of services, and to ensure that users’ results are treated FAIRly. ISIDORe therefore requires a data management plan (DMP) covering both access management and research outputs, applicable over a broad range of disciplines, and compatible with the constraints and existing practices of its diverse partners. We undertook an iterative, step-by-step, process to build a community-approved living document, identifying good practices and processes, on the basis of use cases, presented as proof of concepts. International fora such as the RDA and EOSC, and primarily the BY-COVID project, furnished registries, tools and online data platforms, as well as standards, and the support of data scientists. Together, these elements provide a path for building an umbrella, FAIR-compliant DMP, aligned as fully as possible with FAIR principles, which could also be applied as a framework for data management harmonisation in other large-scale, challenge-driven projects. Finally, we discuss how data management and reuse can be further improved through the writing of realistic DMPs using 'DMP profiles' and, in the future, the contribution of an inter RIs data steward network, to produce a Community of Practice that could be integrated into planned trans-RI competence centres., Preprint added on zenodo with the autorisation of DSJ Editor

FAIRsharing is an informative and educational resource on interlinked standards, databases and policies, three key elements of the FAIR ecosystem. FAIRsharing is adopted by funders, publishers and communities across all research disciplines. It promotes the existence and value of these resources to aid data discovery, interoperability and sharing across all of our stakeholder groups. Enabling FAIR data is a key role within FAIRsharing, and we work with a variety of stakeholders (funders, researchers, research support such as librarians and data stewards, publishers, and resource developers) throughout the data management lifecycle to achieve this goal. Here we will discuss how FAIRsharing can be searched and updated by our user community, and how the social sciences in particular can make the best use out of it as part of a broader data management infrastructure. We also will discuss the benefits of both in-house curation and community-driven curation provided by our stakeholder groups. Finally, we will show you how to take part and contribute to the development of the description of databases and standards within FAIRsharing through our Community Curation Programme (https://fairsharing.org/community_curation).&nbsp

The availability of research data underlying articles published in journals is becoming a common practice in scientific communication. The European Commission and other funders of scientific research have set high expectations for scientists towards openness and availability of scientific work and results. Scientific publishers, through journals and scholarly publications are the main point of realising open science in practice. This event was part of the continuous Journals Outreach initiative (https://www.cessda.eu/Training/Journals-outreach), bringing together CESSDA service providers (SPs) with Social Science & Humanities Journals. Its target audiences were publishers, editors, researchers, and CESSDA Service providers.The event was also an opportunity for publishers/journals to highlight new initiatives in research data services linked to scientific publications. Programme 14:00-14:20 Activities of the CESSDA Journals Outreach group; Profiles of CESSDA Service Providers related to accepting data linked to journals / Serafeim Alvanides Moderator: Brian Kleiner 14:20-14:40 Data showcases: the data journal in a multimodal world / Peter Doorn, Leen Breure 14:40-15:00 An Introduction to Open Research Europe, focusing on Humanities and Social Sciences (HSS) / Ruth Fisher 15:00-15:10 Break Moderator: Marijana Glavica 15:10-15:30 FAIRsharing: An ecosystem of research standards and databases for enabling FAIR data / Allyson Lister 15:30-15:50 The Research Data Journal: objectives and processes / Ulbe Bosma 15:50-16:10 The CURE (Curation for Reproducibility) Consortium / Limor Peer Moderator: Janez Štebe 16:10-16:30 General discussion

BY-COVID Work Package 3 is focused on services for the discovery and integration of COVID-19 data by delivering a flexible, tiered metadata discovery system across different domains, metadata standards, and maturity/robustness levels of data sources. This will enable the linking of FAIR data and metadata on SARS-CoV-2 and COVID-19, on other related viruses and diseases, and on socio-economic consequences, across research fields, from omics, clinical, and epidemiological research, to social sciences and humanities. Building on the metadata format developed in D3.1, in a series of work package meetings and a workshop, with participation from all other work packages, we have developed tools (example Validator), workflows (Semi-automated transfer of resource metadata from FAIRsharing to Covid-19 portal), and documentation and training (Training: Discoverability hackathon) to support the efficient integration of additional resources from a broad range of domains into the COVID-19 Data Portal as well as improved the end user facing COVID-19 Data Portal itself (Global search). This work establishes the basis for the further development of the COVID-19 Data Portal metadata discovery, and provides a path for integration of metadata from multi-domain partners in BY-COVID, as well as our ISIDORe sibling project, and other relevant external resources. To ensure smooth integration of partner provided metadata, we anticipate re-running our “Discoverability hackathon” in the future and will continue to evolve our metadata format and presentation of the COVID-19 Data Portal. We anticipate significant development and metadata modelling work for the use-case driven support of complex data sources in close collaboration with WPs 2, 4 and 5.&nbsp

FAIRsharinghas been selected by WP1 as the project’s registry of data resources and standards that are part of and used by research infrastructures in EOSC-Life. This deliverable summarises the work of WP6 to deliver a FAIRsharing Collection of these data resources (and associated standards) to ensure these resources are Findable (e.g. discoverable and citable via a DOI), Accessible (e.g. access methods to their data is clearly described), Interoperable (e.g. standards implemented are declared) and Re-usable (e.g. terms of use of the data are made explicit to users). This work is described in detail in D1.2and D1.3, and the EOSC-Life FAIRsharing Collection of 133 records (as of Aug 2022) is publicly available. As this is a live view of the EOSCLife resource ecosystem, a variety of stages of the resource life cycle are displayed. Indevelopment, Ready and Deprecated resources are marked as such allowing users to assess their relevance. In Jan 2022 a newly improved FAIRsharing backend and frontend was also released by the UOXF partner, who also runs and curates the registry. This new version is set to improve the discoverability of and the relationships among the resources, and also offers new RI-centric pages (e.g. ELIXIRand MIRRI). These pages enable attribution at the level of the RIs and the responsible individuals themselves. Each RI page in FAIRsharing showcases its associated repositories, standards and collections and identifies and attributes (via ORCID) related users. The records in the EOSC-Life FAIRsharing Collection are a part of the wider FAIRsharing registry, which is computationally accessible to a wide variety of third-party tools, and which is interoperable with pan-EOSC activities via the FAIRsharing collaboration with OpenAIRE.

BY-COVID Work Package 3 is focused on services for the discovery and integration of COVID-19 data by delivering a flexible, tiered metadata discovery system across different domains, metadata standards, and maturity/robustness levels of data sources. This will enable the linking of FAIR data and metadata on SARS-CoV-2 and COVID-19, on other related viruses and diseases, and on socio-economic consequences, across research fields, from omics, clinical, and epidemiological research, to social sciences and humanities. In a series of work package meetings and a workshop, with participation from all other work packages, we have surveyed community metadata standards used by (potential) BY-COVID-19 portal resources (4.1), defined a flexible, three-tiered approach to metadata indexing in the COVID-19 portal (section 4.2), derived common metadata attributes for record level discovery (4.3) and established a workflow with FAIRsharing for resource level metadata capture and exchange (4.4). This work establishes the basis for the further development of the COVID-19 Portal metadata discovery and provides a path for integration of metadata from multi-domain partners in BY-COVID, as well as our ISIDORe sibling project, and relevant external resources. To ensure smooth integration of partner-provided metadata, we will run a technical workshop open to all partners, discussing workflows, metadata attributes and formats, and support tools., Contributor: Morris Swertz (UMCG/BBMRI)

DasNFDI4Ing CC-41 Community Meeting 2022 des Maschinenbaus und der Produktionstechnik fand am 03. März 2022 statt. The NFDI4Ing CC-41 Community Meeting 2022 of Mechanical and Production Engineering took place on 03 March 2022. Die Autorinnen und Autoren möchten sich bei Bund, Ländern und bei der Gemeinsamen Wissenschaftskonferenz (GWK) für die Förderung und Unterstützung im Rahmen des Konsortiums NFDI4Ing bedanken. Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 442146713. The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713. Sofern im jeweiligen Dokument nicht anders angegeben, stehen die Dateien unter der CC-BY 4.0 Lizenz. Bitte beachten Sie die Lizenzkommentare in den jeweiligen Slide Decks. If not stated otherwise within the respective document, the files go by CC-BY 4.0 license. Please refer to the license comments in the resprective slide decks.

This deliverable summarises the work of WP1 to deliver Findable, Accessible, Interoperable and Re-usable (FAIR) services in the context of EOSC-Life’s funding calls, using these to improve FAIR services, service uptake and to inform sustainable development and future use. We describe service delivery and development around the FAIR principles and present the funded projects which have driven our implementation of FAIR Services. We address sustainability and describe the processes used to engage the EOSC-Life funded projects, as well as future work.

This deliverable summarises the work of WP1 to deliver Findable, Accessible, Interoperable and Re-usable (FAIR) services in the context of EOSC-Life’s funding calls, using these to improve FAIR services, service uptake and to inform sustainable development and future use. We describe service delivery and development around the FAIR principles and present the funded projects which have driven our implementation of FAIR Services. We address sustainability and describe the processes used to engage the EOSC-Life funded projects, as well as future work.

FAIRsharing is an informative and educational resource on interlinked standards, repositories and policies, three key elements of the FAIR ecosystem. FAIRsharing promotes the existence and value of these resources to aid data sharing and consequently strengthen scholarly communication. FAIRsharing aims to foster a culture change within the research community such that use of databases and standards for FAIRer data is pervasive and seamless. This is achieved by guiding consumers to discover, select and use these resources with confidence. FAIRsharing is adopted by funders, publishers and communities across all disciplines.

FAIR principles provide a unique framework for creating a machine actionable data management environment supporting Open Science and Open data but also data and information exchange within organizations such as industries. In this session, we aim at discussing the theory and practice of implementing FAIR Principles for applied science and industrial research. The workshop is a meeting point for OntoCommons (www.ontocommons.eu), an EU Horizon 2020 project that aims to improve the state of the art in ontology data documentation in science and industry, and several key initiatives focusing on FAIR (such as GOFAIR, FAIRsFAIR, FairSharing) and the Open Science community. Through this workshop we aim at gathering inputs and suggestions for implementing FAIR and Open Science/Data from the Open Science community. We will briefly introduce key general projects and initiatives related to FAIR, the ongoing work in OntoCommons and discuss how OntoCommons can leverage their work to support a better integration of FAIR principles into current and forthcoming industrial demonstrators including Open Science demonstrators.

International workshop on sharing, citation and publication of scientific data across disciplines: Session 2: Database, Data System - Network & AdministrationTue. 5 Dec./Lecture Room (4F, NIPR)

A curated, searchable portal of inter-related data standards, databases, and policies in the life, environmental and biomedical sciences: https://biosharing.org

A curated, searchable portal of inter-related data standards, databases, and policies in the life, environmental and biomedical scienceshttps://biosharing.org

A curated, searchable portal of inter-related data standards, databases, and policies in the life, environmental and biomedical sciences: https://biosharing.org

BioSharing (http://www.biosharing.org) is a curated, web-based, searchable portal of three linked registries of content standards, databases and data policies in the life sciences, broadly encompassing the biological, natural and biomedical sciences. Our records are informative and discoverable, maximizing standards adoption and (re)use (e.g. in data policies), and allowing the monitoring of their maturity and evolution (Tenenbaum, Sansone, Haendel; Am Med Inform Assoc, 2014). With over 1,300 records, BioSharing content can be searched using simple or advanced searches, filtered via a filtering matrix, or grouped via the ‘Collection’ feature, according to field of interest or focus. Examples are the NPG Scientific Data and BioMedCentral Collections, collating and linking the recommended standards and repositories from their Data Policy for author. Similarly other publishers, projects and organizations are creating Collections by selecting and filtering standards and databases relevant to their work, such as the BD2K bioCADDIE project. As a community effort, BioSharing offers users the ability to ‘claim’ records, allowing their update. Each claimant also has a user profile that can be linked to their resources, publications and ORCID ID, thus providing visibility for them as an individual.Launched in 2011 as an extension and evolution of the MIBBI portal (founded by the same Operational Team, led by Sansone), BioSharing is working with a growing number of journals and other registries; it is also part of ELIXIR-UK Node and contributing to the NIH BD2K CEDAR. Driven by an international Advisory Board (co-chaired by Tenenbaum, Haendel) the BioSharing userbase has grown by 40% over the last year, thanks to successful engagement with researchers, publishers, librarians, developers and other stakeholders via several routes, including a joint RDA/Force11 working group (co-chaired by Lawrence and Hodson) and a collaboration with the International Biocuration Society.