Responsible research evaluation: integrating quality, leadership, and integrity in national systems. The case of Peru – InfoDoc MicroVeille

If you are a researcher in the Social Sciences and you want to better get to know European Research Funding, you might be interested to become a reviewer. The EU currently is looking for researchers with expertise in:

1. Social innovation (e.g. educational strategies, open innovation, knowledge transfer, commercial take-up)

2. Sociological dimensions of technological and policy developments, including ethical, gender, cultural, governance aspects

See: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/support/news/40008 #SocialScience #Sociology #ResearchEvaluation #Europe

Grateful to #VUIAS for the opportunity to present my workshop "Ranked but Not Heard: Metrics and the Position of Ukrainian Scholarship" during the Academic and Public Positioning for Ukrainian Scholars workshop in Vienna.

The presentation explored academic visibility, scientometrics, open scholarly infrastructures, and the challenges Ukrainian researchers face within global systems of research evaluation.

👉 https://doi.org/10.13140/RG.2.2.35650.13760

#OpenScience #Scientometrics #ResearchEvaluation #Ukraine

Studying ‘predatory publishing’ in the context of research evaluation: conceptual and methodological challenges – InfoDoc MicroVeille

Generative AI can and should accelerate research evaluation reform to better recognize ‘distinctly human contributions’ – InfoDoc MicroVeille

A recent Journal of Informetrics study shows – There is no universal number of “too many authors.”

In some fields, 3–6 may already be unusual.
In medicine – dozens are common.
In physics – large teams are often the norm.

 https://doi.org/10.1016/j.joi.2026.101803

Yes, #hyperauthorship can signal problems (e.g., honorary authorship, metric inflation). But the key question is not “how many authors?” 👉 it is: Is this abnormal for this field and time?

#Scientometrics #ResearchEvaluation #Bibliometrics

We evaluate science mostly through papers. But researchers report that up to 75% of project effort is data work — collecting, cleaning, documenting, and preparing datasets. A reminder that research outputs ≠ research work.

New paper in Research Evaluation: https://doi.org/10.1093/reseval/rvag008

#ResponsibleMetrics #OpenScience #DataCitation #ResearchEvaluation

Most research evaluation still rewards papers, not the work that makes them possible. Yet researchers say up to 75% of a project can be data work: collecting, cleaning, curating, documenting.

 https://doi.org/10.1093/reseval/rvag008

Maybe it's time to stop pretending that publications alone represent research.

#OpenScience #ResearchEvaluation #DataCitation #ResponsibleMetrics #Scientometrics

New paper in Research Evaluation explores how researchers actually cite data. Key insight: data citations are far more complex than simple indicators of data reuse.

 https://doi.org/10.1093/reseval/rvag008

They reflect scientific practice, community norms, attribution, and even reputation-building. A timely reminder: metrics alone cannot capture the real value of data work.

#OpenScience #DataCitation #ResearchEvaluation #ResponsibleMetrics #Scientometrics

Back to the roots: reimagining scientific evaluation of research without peer review – InfoDoc MicroVeille