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.

Coming soon

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.

See the WG homepage.

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).

Coming soon