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Research assessment and science integrity: A global approach with local impact for research policy and the development of digital tools

13 FEB 2024

Collaborative session notes

Submitted by Francis P. Crawley

Meeting objectives: 

The main objective of this working meeting is to examine the need for a transformation on how we value science and measure its contribution to research, education, and society generally. In February of 2024 the Coalition for the Advancement of Research Assessment (CoARA) announced a new Working Group on Ethics and Research Integrity Policy in Responsible Research Assessment for Data and Artificial Intelligence (ERIP) promoted by the European Commission, ALLEA and leading European and international research institutions, including RDA and RDA-Europe. This opens up the opportunity for greater RDA involvement in ERIP and research assessment generally as it relates to data and AI.

This session builds on the AIDV-WG’s ELSI and governance outputs and relates them to the need for the integration of research ethics and research integrity into digital tools for the establishment of policy and governance in the evaluation of scientific research. In the framework of ERIP, the session examines three key trajectories regarding the implementation of machine learning methods and artificial intelligence models for expanding traditional understandings of participation in, and contributions to, scientific outputs and communication. In particular, it looks at the need to develop the following areas:

  1. methods and tools to ensure the research ethics and integrity of scientific methods and outputs with the advancing use of data and the impact of AI;
  2. methods and tools to evaluate digital contributions to science/knowledge in research programs and assessment procedures; and
  3. innovative methodologies for employing data ecosystems and AI models for research assessment in digital environments with a focus on open science infrastructures.

The session will demonstrate how data and AI governance, policy, and guidance can be integrated into digital tools for advancing research assessment that promote the role of, and define the ethical and integrity characteristics of, a responsible culture for the assessment of data and AI in research, fostering responsibility, transparency, and societal benefit. It will look at the relationship between research assessment policy and data and AI tools for developing new indicators and metrics in evaluating the contributions of science to the academic and research communities as well as society as a whole.

Meeting agenda: 

Draft Meeting Agenda, speakers are identified and will be later confirmed.

TimeTitle and Speaker(s)
00:00Opening Remarks from the Session ChairpersonFrancis P. Crawley
Co-chair, CoARA’s Working Group on Ethics and Research Integrity Policy in Responsible Research Assessment for Data and Artificial Intelligence (ERIP)
00:05Perspectives on the need for revising research evaluationTwo early career researchers
A global perspective from Europe
A local perspective from Africa
00:15Developing responsible ethics and research integrity policy in research evaluationA perspectives from a national endeavor to transform research in Turkey
A perspectives from an international endeavor to transform research in Latin America
00:25A first interactive discussion with the audience on the need for revising research assessment with regard to data and AI
00:40Various proposals on tools for reforming research assessment
From an open science approach
From an industry approach
From a cross-disciplinary approach
00:55A second interactive discussion with the audience on pathways for integrating AI governance models into research assessment reform
00:20Summary of the Session
01:30Close of the Working Session

Type of Meeting: 

Working meeting

Short introduction describing any previous activities: 

Higher education institutions, academic/scientific journals, and generally all institutions involved in scientific research as well as the academics/scientists themselves share responsibility for ensuring adequate scientific and ethical standards in academic authorship, scientific integrity, and the production of knowledge.

The CoARA ERIP Working Group was developed in the context of the RDA Plenary 21 in Strasbourg through informal meetings and interactions with RDA members. It applies the deliverables of the AIDV-WG to ELSI, policy, and governance models where decisions regarding the use of data and AI in scientific research and its outputs, including publications, are based on well defined roles, uses, and attributions of these new technologies to the development of the sciences, their uses, and their communication. Decisions to employ new AI technologies must be supported by an adequate understanding of their impact on the scientific method, scientific processes, and the results generated. In this context, questions can be posed concerning the use of AI in scientific research, its outputs, and its publications. ERIP examines the primary and fundamental values for the use of AI in the scientific research and publication process with a focus on transparency, honesty, and diligent care. These three values and the principles derived from them provide the necessary ethical framework for the use of AI in the scientific field. ERIP will work with the RDA community as well as other leading scientific and academic groups, and European as well as UN and other (inter-)governmental organisations to develop policy as well as digital tools that can realise that policy for the reliable scientific evaluation of data and AI.

BoF applicant serving as contact person: 

Francis P. Crawley

Additional links to informative material: 

Meeting presenters: 

Experts in research evaluation, data and AI ethics and governance, and leaders in local and global perspectives related to research evaluation; the session will engage the audience in questions of policy and tools needed for the future of research evaluat

Avoid conflict with the following group (1): 

Artificial Intelligence and Data Visitation (AIDV) WG

Avoid conflict with the following group (2): 

CODATA/RDA Research Data Science Schools for Low and Middle Income Countries

Contact for group (email):

Applicable Pathways: 

Data Infrastructures – Organisational to Environments

Driven by RDA Organisational Member: 


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

Please indicate a minimum of (3) three breakout slot (s) that would suit your repeat session in a different time zone.: 

Are you willing to host a second, repeat session in a different time zone?: 


Have you previously held a session at plenaries?: