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Joint-Meeting Session July 3, 2024

To whom does the “I” in FAIR belong? A cross-group discussion

Plenary: RDA 23rd Plenary Meeting – San José, Costa Rica

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Meeting objectives

In this joint session, the RDA GORC groups and the FAIR Data Maturity Model WG will investigate how to address the “I” in FAIR, specifically in the context of interoperability of Research Commons.

The RDA FAIR Data Maturity Model Working Group was established with the objective to bring 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. In the process of developing the maturity indicators Interoperability was generally agreed to be one of the most complex aspects of FAIR to enable and assess as it requires agreement across a range of stakeholders.

The Global Open Research Commons Interest Group (GORC IG) is working on a set of deliverables to support coordination amongst national, pan-national and domain specific organizations as they work to build the interoperable resources necessary to enable researchers to address societal grand challenges. The realized vision of GORC will provide frictionless access to all research artifacts and will rely on metadata, vocabulary, and identification services being available to everyone everywhere, at all times. The GORC IG is working to develop a roadmap for global alignment to help set priorities for Commons development and integration. In support of this, the GORC IG has developed the GORC IG typology of commons essential elements supporting output. The GORC International Model WG worked under the umbrella of the GORC IG. The WG’s goal was to evaluate and recommend a model for attributes for global research commons that allows researchers and developers to coordinate services and create roadmaps for international interoperability. The GORC International Model (V1.0) and accompanying report were endorsed by RDA in October, 2023.

It is a widespread belief that interoperability is driven mainly (or only) by technical standards, such as those explored along the FAIR principles and their possible implementation. However, current reflections in the GORC groups suggest that interoperability is a more complex issue involving also the other essential elements of the GORC typology: Governance & Leadership, Rules of Participation & Access, Sustainability, Human Capacity, Engagement, Standards & Conventions, ICT Infrastructure, Services & Tools, and Research Objects in addition to Key Performance Indicators (KPIs) and metrics. Interoperability is being realized as not something you can enact or implement directly, but something that is aimed for through implementations of interoperability-enabling components, namely other essential elements in the GORC model.

The objective of this meeting will be:
– Showcase how Interoperability is represented and enabled in the existing outputs of the FAIR Data Maturity Model WG and the GORC groups
– Discuss and debate how to integrate and align different efforts in creating, developing, and expanding commons and who can contribute to interoperability in this space
– Identify areas of mutual and independent work for these three RDA groups on interoperability based on the outcomes of this discussion

Meeting presenters

IG and WG chairs

Meeting agenda

1. Welcome and icebreakers (5 min)
2. Introduction to meeting and previous work (20 mins)
a. FAIR Data Maturity Model WG introduction and outputs (10 min)
b. GORC IG and IM WG introduction and outputs (10 min)
3. Presentation of topic and discussion on what interoperability means and how to aim for it (50 min)
a. How interoperability is defined and addressed by each group (15 min)
b. Panel discussion on how to achieve interoperability between commons (35 min)
4. Discussion on moving forward together on shared and independent avenues of work (10 min)
5. Next steps and conclusions (5 min)

Target audience

Working group members: Research funders, infrastructure providers and data services active in delivering Research / Data Commons initiatives

Group Activities and Scope

The RDA FAIR Data Maturity Model Working Group developed 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 Global Open Research Commons IG will coordinate global activity on the development of Open Science platforms such as the EOSC, AOSP and ARDC. The Interest Group holds the overall mission and defines key activities for development through working groups, the first of which is focusing on the features/attributes of ORCs, and documenting a subset of international clouds/commons. It will also socialise the community to the concept, definition and value of Research Commons.

The GORC International Model WG worked under the umbrella of the Global Open Research Commons (GORC) IG. Both entities are working towards a roadmap for the integration of research services in pursuit of cross-country and cross-discipline global open research commons. The WG’s goal was to evaluate and recommend a model for functions/attributes for global research commons that allows researchers and developers to coordinate services and create roadmaps for international interoperability. In addition, when possible, the group captured KPIs or metrics that can be used to track engagement or success of services provided by Commons. In pursuit of this goal the WG instituted a speaker series where representatives of Commons from around the world share the current state and vision of their initiatives with the WG. The WG developed a narrative document containing descriptions of functions and attributes of different commons in parallel with the speaker series and released draft versions of commons attribute models. Task Groups were formed to focus on specific areas of the model. Both the model and a report with information from the narrative document were endorsed by RDA in October, 2023.

The GORC-WG has since been working on making parts of the model machine-actionable and facilitating adoption of the model, including investigating and developing adoption tools and approaches. New areas of work include profiles, implementation maps, and a maturity layer. These will be picked up in a planned GORC International Implementation WG.

Additional links to informative material

The FAIR Data Maturity Model WG Group page is at: https://www.rd-alliance.org/groups/fair-data-maturity-model-wg The FAIR Data Maturity Model: https://zenodo.org/record/3909563#.YhhMw-hBy71 Some adoption stories of the FAIR Data Maturity Model: https://www.rd-alliance.org/group/fair-data-maturity-model-wg/wiki/adoption-stories-fdmm The GORC IG’s outputs have been endorsed by RDA in July 2023 are are available online: typology and definitions, diagram. The GORC IM WG’s outputs have been endorsed by RDA in October 2023 and are available online: model (V1.0), report (V1.0). The most recent joint GORC IG,WG session was held at P22 (online): slides, notes, recording 1, recording 2.

Short Group Status

The RDA FAIR Data Maturity Model Working Group was established at the end of 2018 with the objective to bring 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. The Working Group completed 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 Working Group is now in maintenance mode investigating the implications of theFDMM model and FAIR assessment more broadly.

Following a series of BoF sessions, an initial GORC Interest Group meeting was held at P14 in Helsinki. Since then, initiatives such as EOSC and ARDC have matured and advanced the definitions of their core elements and operating methods. This was used to provide definitions of the Commons and a proposed typology at P16 for validation by the wider community, which has since been published as a supporting output.

As a BoF the GORC IM WG submitted an original case statement to the TAB in early January 2021. The WG was endorsed by RDA on July 30, 2021. The group has been meeting monthly since the group’s first regular session on June 17, 2021, starting a speaker series in November 2021. Several draft deliverables were shared with the community during 2023, and the WG submitted final outputs to RDA in October 2023, which were endorsed shortly thereafter. The WG took a brief hiatus from November 2023 – January 2024, and began meeting monthly again in February 2024 to discuss ongoing tasks and adoption of the model. Adopters of the model presented at 22nd RDA plenary and next steps were discussed. From June 2024 the GORC groups have been working towards submitting the model as a recommendation, creating profiles, and preparing for implementation maps.

Estimate of the required venue room capacity

Over 100

Applicable Pathways

FAIR, CARE, TRUST - Adoption, Implementation, and Deployment
Data Infrastructures and Environments - Discipline Focused
Semantics, Ontology, Standardisation

Please indicate at least (3) three breakout slots that would suit your meeting.

Breakout 2. Tuesday, 12 November, 20:30-22:00 UTC
Breakout 3. Wednesday, 13 November, 14:00-15:30 UTC
Breakout 5. Wednesday, 13 November, 18:30-20:00 UTC
Breakout 7. Thursday, 14 November, 18:30-20:00 UTC