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Find your way around P27 in seconds. This page breaks the full programme down by day and by theme, so you can jump straight to the sessions that matter to you. Check out the Ideas Pitch Sessions, making their first appearance at this Plenary. Browse the full programme.

Day One – Tuesday 6 October 2026

AI Meets Data
🤖 Case studies from Kenya to Kazakhstan on governing agentic AI → Artificial Intelligence and Data Visitation (AIDV) WG
🧬 Nearly 3 years of multi-omics metadata work wraps up → Multi-Omics Metadata Standards Integration (MOMSI) WG
🖥️ New group standardising the environments AI models run in → FAIR Run Time Environments
🧠 Should your ML model come with a management plan? → FAIR for Machine Learning (FAIR4ML) IG

Data Lifecycles
📏 Climate, ocean and biodiversity science compare notes on shared variables → Essential Variables: case studies in FAIR commensurability and interoperability
❓ A fragmented field asks: what even is “data quality”? → Data Quality: Towards Cross-domain Harmonisation…
🔐 Fewer than 200 of ~25,000 repositories hold trust certification → Community-based catalogue of requirements for trustworthy Technical Repository Providers WG

Semantics, Ontology, Standardisation
🔄 A dormant group returns, tied to the EU’s “Digital Twin of the Earth” → Advancing scientific use of digital twins through open science and FAIR data
🌍 A roadmap to save critical datasets from disasters, funding cuts and geopolitics before they’re lost → Earth, Space and Environmental Sciences Data
🌐 A rare look inside China’s national PID strategy, via CNIC → National PID Strategies IG

Data Infrastructures and Environments
🗄️ What happens to environmental data when a repository shuts down? → RDA/WDS Certification of Digital Repositories IG
🌉 Persistent identifiers were meant to connect systems, where do they fail? → PID IG

Ethical Data
⚖️ CODATA, WDS and the Ethical Data Initiative join RDA to reconcile tensions between FAIR, CARE and TRUST → Research Data Management Ethics

FAIR, CARE, TRUST
📜 One forum, every side of the data policy table: funders, publishers, institutions, infrastructure providers → Research Data Policy IG

Other
🔬 From astronomy to linguistics: how do disciplines actually evaluate research? → Evaluation of Research IG

Training, Stewardship, and DMP
🧑‍💼 A new persona methodology puts data steward roles, training and career tracks into a shared framework → Data Steward Career Tracks WG / Professionalising Data Stewardship IG

Day Two – Wednesday 7 October 2026

Data Infrastructures and Environments
🏛️ Why federated research infrastructure fails on governance, not tech → Federation by Necessity? Governing Research Commons Beyond Interoperability
📊 Early results are in on how research infrastructure actually gets used → Uptake of Digital Research Infrastructure IG
🏁 A working group closes out. Final report on its international commons deliverables → GORC International Implementations WG (GORC II)

Training, Stewardship, and DMP
🎓 How do you actually teach “research data skills”? A competency framework answers → Education and Training on Handling of Research Data IG
🏫 Institutional vs. disciplinary data stewardship. Do the two models even mesh? → Research Data Architectures in Research Institutions IG
🖼️ Cultural heritage catalogues, reimagined as interoperable data → Collections as Data IG

AI Meets Data
🌐 Digital research infrastructures compare notes on AI-assisted data curation, across disciplines and regions → Harnessing automation and AI tools to advance data
🧪 10-20 life science infrastructures surveyed on one question: are we actually “AI-ready”? → Life Science Data Infrastructures IG

Data Lifecycles
🗣️ A UK Environmental Data Service-led conversation returns: what do data users actually need? → Understanding user needs: how data experts learn from each other?
🔢 What do we even mean by “version”? An IG running since 2021 has actionable guidelines → Data Versioning IG

Semantics, Ontology, Standardisation
🧫 What makes a sample collection trustworthy? Physical samples get their own metadata standards → Physical Samples and Collections in the Research Data Ecosystem IG
🔧 The PIDINST schema (an RDA Recommendation since 2022) gets its next version previewed, plus real adoption stories → Persistent Identification of Instruments WG

Ethical Data
🧬 NHS-led work on integrating genomic and clinical trial data for precision medicine, at scale → Interoperable Pharmacogenomics: Enabling Trusted Genomics–Clinical Trial 

Other
🔒 Trusted Research Environments: a decade of balancing data protection with controlled access → Trusted Research Environments for Sensitive or Confidential Data IG

Research Software
🔗 Connecting research software to libraries, OSPOs, and archives; closing the duplication gap → Software Source Code IG

FAIR, CARE, TRUST
🌍 UNESCO and CODATA compare notes on data policy for crisis response, beyond the SDG 2030 horizon → RDA/CODATA Data Systems, Tools, and Services for Crisis Situations WG

A brand new format. 13 researchers pitch new ideas in 7 minutes each, grouped across 6 thematic areas, looking for collaborators and support to bring them to life

Social Sciences
👩‍🏫 Who trains the people who manage the Netherland’s research data? → A national training programme for data stewards in the Netherlands
🤖 Should AI’s role in a decision be visible, partly visible, or invisible? → Making AI Visible in Open Research
🌍 Federated mental health data across Kenya, Uganda, Senegal and Ethiopia → FAIRER-MH: Federated AI for Equitable Mental Health

Agricultural Sciences
🚜 Three countries, one question: why don’t agri-food researchers share data? → agriRDM
📦 A new data primitive where data, logic and governance can’t be pulled apart → Beyond the Warehouse: Sovereign Vessels

Medical & Health Sciences
👃 An electronic nose sniffing out Parkinson’s before symptoms start → NeuroNose for Parkinson’s
🧒 Who do you trust on children’s health data: clinician, caregiver, or journalist? → Fitness, Trust, and Community-Driven Data Standards

Humanities
🗣 Too many linguistic metadata standards, not enough overlap → Towards a Core Metadata Schema for Linguistic Data

Engineering & Technology
🔭 How do you connect telescopes and other giant infrastructure to the data they generate in the age of AI? → Connecting Research Infrastructures with PIDs in the AI Era
💹 Peer review, paid for in tradeable “contribution shares” → Liberata
🧩 From machine-readable to machine-actionable metadata → FAIR Digital Objects

Natural Sciences
🧬
FAIR down to a single scientific statement, not just the dataset → Nanopublications as Knowledge Building Blocks
🌋 What makes a data repository survive a disaster? → How Resilient is Your Earth and Environmental Data Infrastructure

Data Lifecycles
🎗️ In low- and middle-income countries, home to 80% of the world’s pediatric population, cancer diagnosis is often slowest, a “Zero Data Movement” framework aims to change that → Advancing Interoperability in Pediatric Oncology
📎 How do you fairly credit everyone who touches a scientific dataset? Research Citation Objects have an answer → Complex Citation Implementation IG
🔧 AI-assisted mapping of how research tools actually connect to each other, at scale → MaLDReTH II WG

Research Software
🤖 AI agents are now acting inside research workflows on their own. RDA’s standards weren’t built with that in mind → Beyond the Chatbot
📝 Data management plans that update and connect to other systems in real time, across platforms → Active Data Management Plans IG / DMP Common Standards WG / maDMP API WG

Training, Stewardship, and DMP
📚  What counts as a research output beyond the paper? A group endorsed just a year ago is mapping the answer → Infra4NTROs
🗣️ 220 researchers in linguistics and language sciences surveyed on their data habits, the results are in → Linguistics Data IG

FAIR, CARE, TRUST
🏛️ Being “national” doesn’t guarantee survival. A framework asks how data services actually stay sustainable → National Data Services IG
🧩 FAIR assessment means something different in every discipline. Four groups team up to fix that → Professionalising Data Stewardship IG / FAIRsharing Registry WG / FAIRification of Genomic Annotations WG / Life Science Data Infrastructures IG

AI Meets Data
🔍 A long-running RDA interest group asks what data discovery looks like after AI → Data Discovery Paradigms IG

Ethical Data
⚖️ Quiet for some time, now back and expanding from legal into organisational interoperability → RDA/CODATA Legal Interoperability IG

Other
🔁 Dormant from 2016 to 2023, now active again, reproducibility gets another push → Reproducibility IG

Semantics, Ontology, Standardisation
🧪 A brand-new working group shares its first attempt at classifying sample types in research → Sample Type Classification WG