RDA's 20th Plenary Pathways

Back to 20th Plenary

Welcome to the RDA Plenary Pathways for P20!

Find your breakout sessions by theme.

The Plenary Pathways are meant to enhance the plenary experience, to highlight convergences, and to propose divergences you may not have considered. We hope you find them useful.

Please find the Pathways below where 'BO1-BO7' stands for a session's breakout.

RDA P20 session breakouts can also be viewed at the RDA P20 main programme:

FAIR, CARE, TRUST - Principles

BO3: IG FAIR for Machine Learning (FAIR4ML) IG: Defining the roadmap towards FAIR for Machine Learning

BO4: IG Software Source Code IG: Software Source Code - policy and incentives

BO5: IG FAIR Digital Object Fabric IG: IG FAIR Digital Object Fabric: Discussing the FAIR DO Concept

BO7: IG RDA/WDS Certification of Digital Repositories IG: TRUST Principles & Certification updates

BO7: WG FAIR for Virtual Research Environments WG: Draft recommendations for making VREs FAIR and FAIR-enabling

FAIR, CARE, TRUST - Adoption, Implementation, and Deployment

BO1: BoF - Coordinating mechanisms for making code visible

BO2: WG National PID Strategies WG: Pathways to a national PID strategy: a guide to facilitate uptake and alignment

BO2: Joint Session: Life Science Data Infrastructures IG , FAIRsharing Registry: Connecting data policies, standards and databases RDA WG : Infrastructure supporting the FAIR data principles in life science research practice

BO3: BoF - Computational Reproducibility: What's Next for RDA?

BO4: BoF - Promoting synergies between national RDM and data stewardship networks

BO4: IG Education and Training on Handling of Research Data IG: From Classroom to Practice: integrating education and training in handling research data

BO4: Joint session: FAIR Data Maturity Model WG , Persistent Identification of Instruments WG : The Way to FAIR: from data collection to citation

BO5: Joint session: Data for Development IG , RDA for the Sustainable Development Goals IG : Data for Sustainable Development (SD) and Responsible Research (RR)

BO5: WG InteroperAble Descriptions of Observable Property Terminology WG (I-ADOPT WG): Practical implementations of the I-ADOPT framework and future directions

BO6: WG Brokering Framework Working Group: Brokering Framework - Update and FInalisation

BO6: BoF - Trusted Research Environments for Sensitive Data: FAIRness for "Closed" Data and Processes

BO7: IG RDA/WDS Certification of Digital Repositories IG: TRUST Principles & Certification updates

BO7: WG FAIR for Virtual Research Environments WG: Draft recommendations for making VREs FAIR and FAIR-enabling

BO7: WG Data Granularity WG: Data Granularity Guidance - Going Once, Going Twice,...

BO7: CoP IGAD Community of Practice: Improving Global Agricultural Data (IGAD) Community of Practice First Steps and Way Forward

Data Infrastructures and Environments - Institutional

BO3: IG Sensitive Data Interest Group: Sensitive data contexts and disciplines: A look at different approaches

BO5: WG Data Citation WG: Adoption Meeting of the WG on Dynamic Data Citation

BO5: BoF - Exploring User-Centered Services for Collections as Data at the Library of Congress

BO6: IG ESIP/RDA Earth, Space, and Environmental Sciences IG: Continuing the Circle of Life of Earth and Environmental Science Data Infrastructure Projects: Maturing PARSEC and ENVRI-FAIR, Beginning New Adventures

BO6: IG Research Data Architectures in Research Institutions IG: The Role of Middleware in Data and Metadata Management: National and Institutional Approaches Involving iRODS and Alternatives

BO6: BoF - Trusted Research Environments for Sensitive Data: FAIRness for "Closed" Data and Processes

Data Infrastructures and Environments - Regional or Disciplinary

BO1: IG Social Science Research Data IG: SSIG plenary meeting - Growing international coordination across social science infrastructures

BO2: Joint Session: Life Science Data Infrastructures IG , FAIRsharing Registry: Connecting data policies, standards and databases RDA WG : Infrastructure supporting the FAIR data principles in life science research practice

BO2: IG Working with PIDS in Tools: Working with PIDS in Tools and e-infrastructures: Three concrete examples

BO2: WG Artificial Intelligence and Data Visitation (AIDV) WG: The Ethics of AI and Data Visitation: Building Blocks for Data Commons and Open Science

BO2: Joint Session: RDA/CODATA Materials Data, Infrastructure & Interoperability IG , Research Data Management in Engineering IG : Automation of LIMS for Data Analysis and Reuse: Joint Meeting

BO3: IG Physical Samples and Collections in the Research Data Ecosystem IG: Expanding our horizons to new disciplines: harmonising on what is core to all.

BO4: Joint session: FAIR Data Maturity Model WG , Persistent Identification of Instruments WG : The Way to FAIR: from data collection to citation

BO5: Joint session: Data for Development IG , RDA for the Sustainable Development Goals IG : Data for Sustainable Development (SD) and Responsible Research (RR)

BO6: IG Data Discovery Paradigms: Recommendations for data repositories to improve data discoverability

BO6: IG ESIP/RDA Earth, Space, and Environmental Sciences IG: Continuing the Circle of Life of Earth and Environmental Science Data Infrastructure Projects: Maturing PARSEC and ENVRI-FAIR, Beginning New Adventures

BO7: IG Chemistry Research Data IG: Describing diverse chemistry datasets across distributed data resources

BO7: WG FAIR for Virtual Research Environments WG: Draft recommendations for making VREs FAIR and FAIR-enabling

BO7: CoP IGAD Community of Practice: Improving Global Agricultural Data (IGAD) Community of Practice First Steps and Way Forward

BO7: IG Open Science Graphs for FAIR Data IG: Open Science Graph - Interoperability Framework. A debriefing from the Task Force

Data Infrastructures and Environments - International

BO1: WG GORC International Model WG (GORC-IM WG), Global Open Research Commons IG : GORC International Model WG Reflections and Document Development, The EOSC Finnish Forum and the Nordic implementations of research commons

BO1: Joint Session: Data Usage Metrics WG , Repository Platforms for Research Data IG : Practical Approaches to Tracking and Communicating the Use of Research Data

BO1: BoF - Coordinating mechanisms for making code visible

BO1: IG Social Science Research Data IG: SSIG plenary meeting - Growing international coordination across social science infrastructures

BO2: WG National PID Strategies WG: Pathways to a national PID strategy: a guide to facilitate uptake and alignment

BO2: WG Artificial Intelligence and Data Visitation (AIDV) WG: The Ethics of AI and Data Visitation: Building Blocks for Data Commons and Open Science

BO2: Joint Session: RDA/CODATA Materials Data, Infrastructure & Interoperability IG , Research Data Management in Engineering IG : Automation of LIMS for Data Analysis and Reuse: Joint Meeting

BO3: IG Physical Samples and Collections in the Research Data Ecosystem IG: Expanding our horizons to new disciplines: harmonising on what is core to all.

BO3: WG Earth, Space, and Environmental Science Complex Citations Working Group: Complex Citations in the Earth and Space Sciences: Formulating Requirements for a Demonstration Prototype

BO5: WG InteroperAble Descriptions of Observable Property Terminology WG (I-ADOPT WG): Practical implementations of the I-ADOPT framework and future directions

BO5: Joint Session: FAIRsharing Registry: Connecting data policies, standards and databases RDA WG , Professionalising Data Stewardship IG , Early Career and Engagement IG , Engaging Researchers with Data IG : Community Engagement That Works! Examining tools and success stories of pathways to Engagement in Community-led organisations at a global level

BO5: IG FAIR Digital Object Fabric IG: IG FAIR Digital Object Fabric: Discussing the FAIR DO Concept

BO6: IG Data Discovery Paradigms: Recommendations for data repositories to improve data discoverability

BO6: IG ESIP/RDA Earth, Space, and Environmental Sciences IG: Continuing the Circle of Life of Earth and Environmental Science Data Infrastructure Projects: Maturing PARSEC and ENVRI-FAIR, Beginning New Adventures

BO6: WG Data Repository Attributes WG: Data Repository Attributes Working Group (DRAWG) Working Meeting

BO7: IG Open Science Graphs for FAIR Data IG: Open Science Graph - Interoperability Framework. A debriefing from the Task Force

Training, Stewardship, and Data Management Planning

BO1: CODATA/RDA Research Data Science Schools for Low and Middle Income Countries: Operationalising the CODATA-RDA Schools of Research Data Science (SoRDS)

BO1: Joint Session: Active Data Management Plans IG , DMP Common Standards WG , Discipline-specific Guidance for Data Management Plans WG : Data Management Planning: where are we and where do we want to be?

BO3: BoF - Computational Reproducibility: What's Next for RDA?

BO4: BoF - Promoting synergies between national RDM and data stewardship networks

BO4: (Hybrid) IG CODATA/RDA Research Data Science Schools for Low and Middle Income Countries: CODATA-RDA Schools for Research Data Science group updates and new challenges

BO4: Joint session: FAIR Data Maturity Model WG , Persistent Identification of Instruments WG : The Way to FAIR: from data collection to citation

BO5: WG Data Citation WG: Adoption Meeting of the WG on Dynamic Data Citation

BO7: (Hybrid) WG Data Citation WG: Adoption Meeting of the WG on Dynamic Data Citation

BO5: BoF - Exploring User-Centered Services for Collections as Data at the Library of Congress

BO6: IG Libraries for Research Data IG: Libraries' Role in Supporting UNESCO Open Science Recommendations

Semantics, Ontology, Standardisation

BO1: IG Vocabulary Services IG: What is happening in the Semantic interoperability realm and in VSSIG?

BO2: WG National PID Strategies WG: Pathways to a national PID strategy: a guide to facilitate uptake and alignment

BO2: IG Working with PIDS in Tools: Working with PIDS in Tools and e-infrastructures: Three concrete examples

BO3: IG FAIR for Machine Learning (FAIR4ML) IG: Defining the roadmap towards FAIR for Machine Learning

BO3: BoF - Data representation in materials and chemicals based on harmonised domain ontologies

BO3: WG Earth, Space, and Environmental Science Complex Citations Working Group: Complex Citations in the Earth and Space Sciences: Formulating Requirements for a Demonstration Prototype

BO4: IG Data policy standardisation and implementation IG: Increasing the positive impacts of journal policies on data sharing practices

BO5: WG InteroperAble Descriptions of Observable Property Terminology WG (I-ADOPT WG): Practical implementations of the I-ADOPT framework and future directions

BO6: WG Brokering Framework Working Group: Brokering Framework - Update and FInalisation

BO7: IG Chemistry Research Data IG: Describing diverse chemistry datasets across distributed data resources

BO7: WG Data Granularity WG: Data Granularity Guidance - Going Once, Going Twice,...

BO7: IG Open Science Graphs for FAIR Data IG: Open Science Graph - Interoperability Framework. A debriefing from the Task Force

Data Lifecycles - Versioning, Provenance, Citation, and Reward

BO1: Joint Session: Data Usage Metrics WG , Repository Platforms for Research Data IG : Practical Approaches to Tracking and Communicating the Use of Research Data

BO3: IG Physical Samples and Collections in the Research Data Ecosystem IG: Expanding our horizons to new disciplines: harmonising on what is core to all.

BO3: WG Earth, Space, and Environmental Science Complex Citations Working Group: Complex Citations in the Earth and Space Sciences: Formulating Requirements for a Demonstration Prototype

BO4: IG Data Versioning IG: Develop actionable guidelines from the data versioning principles

BO5: WG Data Citation WG: Adoption Meeting of the WG on Dynamic Data Citation

BO5: IG FAIR Digital Object Fabric IG: IG FAIR Digital Object Fabric: Discussing the FAIR DO Concept

BO6: IG Data Discovery Paradigms: Recommendations for data repositories to improve data discoverability

BO7: WG Data Granularity WG: Data Granularity Guidance - Going Once, Going Twice,...

BO7: IG Sharing Rewards and Credit (SHARC) IG: Towards implementable recommendations: taking advantage of the SHARC open science survey

Discipline Focused Data Issues

BO1: IG Social Science Research Data IG: SSIG plenary meeting - Growing international coordination across social science infrastructures

BO2: Joint Session: Life Science Data Infrastructures IG , FAIRsharing Registry: Connecting data policies, standards and databases RDA WG : Infrastructure supporting the FAIR data principles in life science research practice

BO2: IG Working with PIDS in Tools: Working with PIDS in Tools and e-infrastructures: Three concrete examples

BO2: Joint Session: RDA/CODATA Materials Data, Infrastructure & Interoperability IG , Research Data Management in Engineering IG : Automation of LIMS for Data Analysis and Reuse: Joint Meeting

BO3: BoF - Data representation in materials and chemicals based on harmonised domain ontologies

BO5: BoF - Exploring User-Centered Services for Collections as Data at the Library of Congress

BO7: IG Chemistry Research Data IG: Describing diverse chemistry datasets across distributed data resources

BO7: CoP IGAD Community of Practice: Improving Global Agricultural Data (IGAD) Community of Practice First Steps and Way Forward

Research Software

BO1: BoF - Coordinating mechanisms for making code visible

BO3: IG FAIR for Machine Learning (FAIR4ML) IG: Defining the roadmap towards FAIR for Machine Learning

BO3: BoF - Computational Reproducibility: What's Next for RDA?

BO4: IG Software Source Code IG: Software Source Code - policy and incentives

Other

Data ethics, data sharing	BO2: WG Artificial Intelligence and Data Visitation (AIDV) WG: The Ethics of AI and Data Visitation: Building Blocks for Data Commons and Open Science
Data policy	BO4: IG Data policy standardisation and implementation IG: Increasing the positive impacts of journal policies on data sharing practices
Privacy, Security, Sensitive Data	BO6: BoF - Trusted Research Environments for Sensitive Data: FAIRness for "Closed" Data and Processes

Group color coding legend: 

IGs
 Not yet endorsed    
 IG established

WGs
 Not yet endorsed  
 WGs Getting started (~0-6 months after RDA endorsement)    
 WGs Producing deliverables (~6-12 months after RDA endorsement)
 WGs Wrapping up (from ~12 months after RDA endorsement)
 WGs Maintaining deliverables (maintenance group)

About the RDA Pathways

The RDA Pathways were created by the RDA’s Technical Advisory Board to help community members navigate all RDA activities. This RDA Pathway Synopsis enhances the RDA’s 20th Plenary experience by providing an overview of all pathways plus their relevant Plenary sessions, RDA groups, recommendations and outputs, and ambassadors.  

Cite as: Connie Clare, & Fares Dhane. (2023). Research Data Alliance Pathways: RDA 20th Plenary Synopsis. https://doi.org/10.15497/RDA00086 

>>> View and download the RDA Pathway Synopsis