Intended output: Communication with several stakeholders have presented the CoreTrustSeal Board with a challenge. One important group of stakeholders are the providers of products and services which either directly provide technical systems for repositories or otherwise provide partnership and support. These actors have always been a critical part of the data ecosystem. The existing CoreTrustSeal Requirements and evidence expectations may be elaborated and/or extended to allow the assessment process to differentiate more clearly between 1) a specialist (i.e. domain/subjectbased) repository serving a defined designated community with a clear knowledge base 2) a technical repository service provider which could support bit-level preservation for either of the above across the data lifecycle (for example, deposit, secure storage, access). The proposed Working Group will produce a community-based catalogue of requirements for trustworthy technical repository service providers. Such a catalogue would provide the basis for a certification procedure for technical repository service providers within the EOSC and beyond.

Intended output: The WG intends to propose a methodology for the alignment of controlled vocabularies in many languages. The methodology will describe the various steps of the alignment process: selection of the controlled vocabularies, alignment through automated processes, manual curation and validation. The WG output will benefit the services providing searching tools (libraries, research infrastructures) and the researchers willing to describe their data in many languages. It is expected that the methodology will significantly increase the connections of controlled vocabularies in many languages. This will be measurable by the increased number of resources available in a single search engine, as they will allow searching resources in more languages. The impact will also be measurable by the number of resources described with a common controlled vocabulary. Depending on the technical capabilities of the services where the method will be implemented, it should be possible to properly compare the usage metrics of resources that use multilingual descriptors and those that do not.

Intended output: Specifications for drone services and resulting data for research, and a demonstrator to show how these guidelines support the design and implementation of cloud-based infrastructures for SUAS data. The primary target audience are researchers working with data collected by SUAS platforms. The open nature of the guidelines will support interoperability which in turn is expected to lower entry barriers for SMEs as service providers for SUAS-based missions.

Intended output: Provide end users (e.g. researchers, data analysts, AI processes) with unified discovery of datasets from new data repositories as well as access to the FAIRtracks ecosystem through new access points and software tools. Facilitate the adoption of FAIRtracks as a metadata exchange standard by a selection of data providers, integrated with their existing metadata standards and data repositories and bridging to specialized data portals and analysis tools

Intended output: The GORC WG is working to develop a roadmap for global alignment to help set priorities for Commons development and integration. In support of this roadmap, this International Model WG will collect and curate a set of attributes that will allow Commons developers to compare features across science clouds and commons. When relevant, the WG will also collect information about how existing commons are measuring success, adoption or use of their attributes and services within their organization, such as number or amount of data downloads, contributed software, and similar key performance indicators (KPI) and access statistics.

Intended output: The National PID Strategies WG explores how PIDs form part of national policy implementation frameworks. There are systemic and network benefits from widespread and consistent PID adoption, and funders, government agencies, and national research communities have created PID consortia or policies (including mandates) in pursuit of these benefits.

The Policies in Research Organisations for Research Software (PRO4RS) Working Group is co-convened with the Research Software Alliance (ReSA) and aims to create a community of stakeholders involved in promoting and/or implementing policy that supports research software at the research institution level (e.g., universities, national laboratories). This will build on ReSA’s taskforce, Research institution policies to support research software, which is already building a collection of relevant institutional policies.

The focus of the WG is on increasing uptake of the FAIR Principles in materials research (in particular in connection with Interoperability and Reusability), supported by improved resources, in particular widely-agreed and FAIR terminologies, metadata and ontologies. While the main focus of the WG is in the material sciences, close interactions with cognate domains, in particular chemistry, are crucial in order to avoid conflicting approaches and also to utilise and integrate with already existing semantic artefacts and resources in these fields.

The principal objective of DSTS_CS-WG is to create a listing of the specific data-related needs and challenges arising during crisis situations mapped to data systems, tools, and services (DSTSs) indicating their applicability, interoperability, and utility, with reference to the data value chain.

The goal of the WG is to reduce data management overhead within and between organisations working with wind energy. This will be done by firstly creating a recommendation “Guidelines for improving FAIR data maturity in wind energy in practice”. This will then be used to create a wind energy FAIR Implementation Profile (FIP), which is a methodology developed within the GO FAIR initiative.

The principal objective of AIDV-WG is to examine the promises, challenges, and barriers to the use of AI in data sharing and Open Science having regard to scientists and research institutions as well as to policy and the interests of patients, communities, health advocates, and those stakeholders otherwise underrepresented in these important initiatives for Open Science. Working to support the EOSC Future project and facilitate the implementation of EOSC across research communities, this AIDV-WG examines interoperability issues arising across federated and non-federated systems. Particular attention is given to national and institutional policies (ethics/legal) and how they affect the generation of metadata and interdisciplinary work and cooperation.

The RDA FAIR Data Maturity Model Working Group develops as an RDA Recommendation a common set of core assessment criteria for FAIRness and a generic and expandable self-assessment model for measuring the maturity level of a dataset. The aim is not to develop yet another FAIR assessment approach but to build on existing initiatives, looking at common elements and allowing the group to identify core elements for the evaluation of FAIRness. That will increase the coherence and interoperability of existing or emerging FAIR assessment frameworks and it will ensure the combination and compatibility of their results in a meaningful way.

The WG brings together stakeholders from different scientific and research disciplines, the industry and public sector, who are active and/or interested in the FAIR data principles and in particular in assessment criteria and methodologies for evaluating their real-life uptake and implementation level.

This Work Group focuses on the TRUST principles and aims to discover barriers and hesitation for implmentation and adoption of TRUST principles allowing for the reduction in ambiguiting and confusion about the relationship between TRUST principles, certification processes, and metrics of other princples frameworks (FAIR, CARE).

Digital twins, customised simulation models pioneered in industry, are beginning to gain ground in medicine and healthcare, with some significant successes in cardiovascular diagnostics and insulin pump control. Because the immune system plays a vital role in such a wide range of diseases and health conditions, from fighting pathogens to autoimmune disorders, digital twins of the immune system (IDTs) will have an exceptionally high impact. The Building Immune Digital Twins WG aims to foster a network of collaborators and experts in all relevant research areas. The ultimate goal of the WG is to help create a long-term interdisciplinary immune digital twin community willing to take on the challenges of this exciting new field.

This Working Group aims to address challenges regarding multi-omics data management and sharing for reuse of complex Omics dataset. It will do so by creating a matrix of identified reporting guidelines and standards essential for integration of multiple Omics metadata elements across the different domain technologies. By leveraging preexisting Omics domain metadata standards, ontologies, and reporting guidelines, this working group will advance current siloed community harmonisation efforts with much needed cross-disciplinary diversity for creating more sustainable standard reporting guidelines fully representative of various data types and computational formats.

Mappings and crosswalks have been identified as an essential element of semantic interoperability in the context of the EOSC Interoperability Framework. This WG aims at working with the various communities and the RDA WGs which have generated mappings to converge toward common guidelines to make different types of mappings FAIR, and a common machine-readable/actionable set of representations of the mappings beyond the capabilities of the current existing specifications. The WG will create a unifying classification of mappings that builds on existing classifications such as RDA Brokering Framework and Semantic Mapping Vocabulary (SEMAPV).

The efficient and effective reuse of data requires that users, be they humans or machines, be able to find and access data at fine levels of granularity. The WG will explore key questions and collect and share valuable information for how to best support data granularity, providing guidance to help data professionals to determine the best level of granularity for user discovery, access, interoperability and citability. The activities and final recommendations of the Data Granularity WG will build upon and complement existing and ongoing work of several RDA Working and Interest Groups that touch upon the subject of data granularity.

The core objective of this WG is to create a Health Data Commons Global Open Research Commons (GORC) profile. Health data commons (HDCs) are the health-data-focused versions of data commons, which bring together health data infrastructures.