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Reflections from the final SE4RA project partner meeting hosted by TOBB ETÜ

Published on September 2, 2026

Teaming for self-evaluation in research assessment across scales: from researchers to institutions (SE4RA)

On 25 August 2025, TOBB ETÜ hosted SE4RA project partners and collaborators for a full-day meeting to discuss the project’s progress, reflect on partner experiences throughout the grant period, finalise SE4RA deliverables as the project nears completion, and explore opportunities to continue the work initiated under the SE4RA pilot project of CoARA-ERIP instruments.

Project partners Mara de Sousa Freitas (UCP) and Alex Delipalta (RDA) attended in person at the TOBB ETÜ campus, while Francis Crawley (Executive Director of the Good Clinical Practice Alliance and co-chair of the CoARA-ERIP WG) joined remotely to present final SE4RA insights to TOBB ETÜ students and institutional staff and to discuss the path forward.

The TOBB ETÜ colleagues Professor Perihan Elif Ekmekçi, Sare Kırbaş and Berfin Karaman prepared a summary of the meeting, presented below.

TOBB ETÜ SE4RA EXECUTIVE REPORT

Executive Summary

The “publish or perish” culture has led, especially young academics, to utilise every possible tool to meet publication targets, including AI agents, which emerge as a disruptive tool for the whole research lifecycle. For AI-assisted outputs to be more resilient to the spread of misinformation, three safeguards- ethics review committees, adequate peer review, and the ethical robustness of the individual researcher are suggested to be updated. As a direct response, SE4RA took the self-evaluation instruments and tested them on real academic situations both in UCP and TOBB ETÜ. In order to provide a solid ground for these studies, a survey encompassing students, faculty, and academics was put underway that showed considerable AI use in these groups and a need for clear safeguards and proper assistance. From UCP, two methodological shifts emerged: first, the checklist being separated into two complementary parts to separate individual researcher responsibilities from the institutional ones; second, to allow the instrument to better function as an audit device, it has been changed into a more maturity-oriented model. SE4RA has gained significant momentum, although most of CoARA’s action plans are highly engaged but low on implementation. For the next steps, the consortium agreed to apply for COST Action funding to support networking activities, disseminate the self-evaluation checklist, reach additional institutions, and do a dissemination webinar on September 28.

Why Are We Talking About Assessment Reform Now?

The meeting opened with a reflection on the incentive structures underlying academic publishing: researchers are rewarded mainly for the volume of their publications rather than directly for the quality of the knowledge they produce. These two principles diverge mainly where financial constraints like article processing charges or unfashionable research topics limit publication in high-visibility areas. Early-career researchers, facing explicit publication targets, are strongly incentivised to use every available tool, including generative AI, in order to exist in the academic world.

Image: Professor Perihan Elif Ekmekçi, TOBB ETÜ

Generative AI was identified as a disruptive factor for its abilities to perform tasks such as literature review, hypothesis framing, translation, and journal selection. This is presented as the direct motivation for accelerated regulatory and institutional attention: rebuilding trust in science and scientific evidence, and countering the spread of pseudoscience and misinformation.

Three safeguards for research integrity were identified, each only partially resilient to full delegation to AI: 

  • Ethics review committees, 
  • Peer review, when we are adequately resourcing and rewarding reviewers
  • The ethical robustness of the individual researcher, cultivated through Responsible Conduct of Research (RCR) education from undergraduate level through to senior career stages, will be the most durable safeguard.

SE4RA was framed as a direct response to this third safeguard, an attempt to make the ethically sound choice the easy choice, at both the individual and institutional level.

Where SE4RA Comes In

SE4RA took the CoARA-ERIP ethics self-assessment instruments developed on paper by the CoARA Working Group and tested whether they could be operationalised inside two real institutions with different governance structures. The consortium comprised TOBB ETÜ and UCP as institutional testbeds, coordinated by the Research Data Alliance.

Scope of the Activity
  • Translation of the deliverables into five languages (Portuguese, Turkish, English, French, and Spanish) with completion targeted for 31 August.
  • Institutional workshops held in Ankara and Lisbon.
  • Engagement of the global RDA community through plenary sessions, webinars (over 200 registrations), and dedicated working sessions.
Preliminary Results of the Study

58% of the students state they use AI regularly. When asked in a non-research-related context, it was stated that literature review and data visualisation were the most popular use cases. Accuracy and verification, Originality and human contribution, & Transparency and disclosure were the top 3 answers when asked about what should be important when evaluating AI-assisted research outputs. 60% of students say they use AI for brainstorming and suggestion-related tasks, and the most used safeguard is checking the citations manually. Only 4% of students and 30% of the academics stated they received some kind of guidance about AI use in research, and 34% of them think the expectations about AI use in research are unclear.

Image: Sare Kırbaş, TOBB ETÜ

The top 5 most wanted guidance types were:

  • Basic AI literacy,
  • Responsible AI use in research,
  • AI use in coursework and student assessment,
  • AI use in teaching and supervision,
  • AI use in research administration.

5% of academics and 34% of students stated they continued using AI in their work despite perceiving risks. Academics, when asked about in which circumstances AI use should be disclosed, answered;

  • When AI contributes to research ideas, hypotheses, design, analysis, interpretation, or writing,
  • When AI generates text, code, images, tables, or analysis outputs,
  • When AI is used to process participant data or research data.

Answers from the open-ended questions show clear hesitation and uncertainty regarding the boundaries of AI use in research. ALL of these findings point us towards clear guidance.

UCP Results & Roadmap 2026–2029: Lessons Learned and Next Steps 

UCP’s contribution is framed under the heading “From Self-Evaluation to Institutional Change.” The starting premise was that ethics and research integrity are constitutive dimensions of responsible assessment. Work was organised into four connected areas: (i) ethical foundations integrity, fairness, transparency, and responsible data and AI use; (ii) methodological co-design and peer learning across researchers, projects, teams, and institutions; (iii) capacity building, including an international training workshop in Lisbon; and (iv) institutional testing, using UCP itself and its research information management system, UCP Ciência as a live test bed.

Image: Mara De Sousa Freitas, UCP

Two methodological shifts emerged from the UCP pilot as the project’s most transferable contributions. First, the checklist evolved from a single instrument into two complementary views: an institutional checklist (covering governance, integrity, fairness, transparency, AI-supported assessment, capacity building, and monitoring) and an individual-researcher checklist (covering open science, research data management, persistent identifiers, reproducibility, responsible AI use, and a qualitative-quantitative evidence mix). This separation was necessary because conflating the two risked transferring institutional responsibilities inappropriately onto individual researchers.

Second, the scoring model moved from a binary yes/no format to a maturity-oriented model, in which each item is considered together with supporting evidence and context. This way, the instrument can function better as a learning instrument rather than an audit device. It allows reflection and judgement instead of just generating a score that replaces institutional decision-making. 

UCP’s underlying safeguard message was that missing data in a research information system cannot simply be read as missing activity.  Before data is used for assessment purposes, institutions need validated definitions, clear provenance, proportionate data capture, interoperability, and explicit rules for handling missingness.

Joining Forces: A Global View of Research Assessment Reform

RDA is volunteer-driven, bottom-up, non-hierarchical, and consensus-based, and does not itself set the reform agenda. RDA is a CoARA member and a supporter of the Barcelona Declaration on Open Research Information, situating it as an aligned participant in the reform conversation.

The Broader Landscape

SE4RA was positioned within a wider ecosystem of initiatives: DORA (since 2013), the Leiden Manifesto (2015), CoARA and its Agreement (since 2022), the Barcelona Declaration (2024), an OECD report (April 2026), and UNESCO’s International Decade of Sciences for Sustainable Development, alongside national-level activity such as the Spanish CoARA chapter’s first collective report and a 2026 US National Academies workshop on researcher assessment.

Image: Alex Delipalta, RDA

Despite this momentum, the consortium was explicit that engagement is not the same as implementation. The European Commission’s independent study on the Agreement of Reforming Research Assessment’s implementation (June 2026) found engagement with the Agreement broad and growing, but implementation inconsistent. An analysis of 248 CoARA action plans across 35 countries found most plans still in early developmental stages, with values-heavy language but limited concrete commitments. A related concern raised by Francis Crawley is that evidence-based assessment reform risks reproducing ranking systems in a new form rather than dismantling the underlying logic of ranking itself.

Youth Health Council and Research Assessment

The Youth Health Council, although not an official partner, was present during the meeting, and through their collaborations with the Turkish Higher Education Council and related government agencies, they emerge as an important future partner for dissemination of the self-checklist and pilot implementations of research assessment into the university curriculum.

Immediate Next Steps and Funding Opportunities
  • A dissemination webinar on 28 September presenting the outcomes of SE4RA.
Conclusion

SE4RA’s central contribution is not just technical but methodological and cultural. It demonstrates that a shared self-evaluation instrument, developed once by the CoARA-ERIP working group, can be adapted to markedly different institutional governance structures while preserving comparability. Its two consortium partners showed that a bioethics-institute-led model and a newly constituted committee-led model can each produce meaningful institutional change when the emphasis is placed on evidence-informed judgement.

About SE4RA

The project delivers a scalable self-evaluation model for research assessment, with a particular emphasis on the ethical dimensions of AI and data-intensive research. Drawing on the CoARA-ERIP Checklist, it addresses the reform needs of researchers, research units, and institutions by enabling structured and responsible self-assessment. The rationale behind this team lies in the complementary roles of the three partners, combining local implementation with international alignment on data stewardship, AI policy, and ethical infrastructure. UCP and TOBB ETÜ represent institutions actively engaged in reform and experimentation, working within distinct national contexts. RDA contributes expertise in data ethics, technical policy, and capacity-building, ensuring that local practices remain internationally aligned and interoperable. This structure enables the testing, and refinement of self-assessment tools in real institutional settings.  

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