How can we use Open Science indicators responsibly to support better decisions?

As indicators become central to tracking progress, they also shape incentives, behaviour, and funding priorities across the research system.
This webinar explores how to use them to support evidence-based policy, meaningful monitoring, and responsible research assessment.

🗓️ 29 May 2026
🕚 11:00–12:30 CEST
🔗 https://www.openaire.eu/are-we-measuring-open-science-the-right-way

#OpenScience #EOSC #ResearchPolicy #ResponsibleMetrics

Participaré en dos sesiones del Ciclo Iberoamericano de Webinars sobre Gestión de la I+i, desde Consortia:

29 abril: #OpenScience como enfoque transversal en la gestión de la investigación.

20 mayo: #ResponsibleMetrics

en sistemas de evaluación institucional.
Horario: 10:00–13:00 (GMT-5). Acceso abierto.
#OpenScience #ResearchAssessment #OpenAccess #ResearchManagement #CienciaAbierta
🔗https://docs.google.com/forms/d/e/1FAIpQLSd2fv9zVtW9tzFQRZbxeqR5vYiOTeICGb5XBaRR5OkpwGuLFA/viewform

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

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

Where do bibliometricians come from? 🤔 A new international study suggests a simple answer: mostly from academic libraries. Around 60% of people doing bibliometric work at universities are based there.

 https://doi.org/10.1177/01655515261417634

The catch? Over 70% say they never had formal training in bibliometrics. People simply grow into the role while working with databases, indicators and research analytics.

#bibliometrics #scientometrics #researchmetrics #responsiblemetrics #openscience

At #ISSI2025, Mike Thelwall suggested that the Leiden Manifesto should be updated to reflect the rise of large language models (LLMs) in research assessment.

👉 https://issi2025.iiap.sci.am/proceedings/ (P. 71-80)

He proposed four new principles — calling for transparent prompts, awareness of #LLM instability, cost-benefit considerations, and a reminder that LLM scores are not evidence of scientific contribution.

#Scientometrics #ResponsibleMetrics #OpenScience #ImpactFactor

🇧🇷 vs 🇳🇱 in #ResearchEvaluation? A sharp comparative study shows how Brazil’s high-stakes, performance-based model contrasts with the Netherlands’ strategic, decentralized approach.

 https://doi.org/10.1093/reseval/rvaf013

Takeaway: Evaluation isn’t one-size-fits-all - context matters.

#ResearchAssessment #SciencePolicy #HigherEducation #ResponsibleMetrics #AcademicEvaluation

Este #podcast con un análisis métricos sobre el uso excesivo de métricas para la toma de decisiones me parece que genera muy buenos elementos de discusión. Creo que es valioso escucharlo (me robé un par de ejemplos de allí) https://open.spotify.com/episode/70nf1LR0C02FmU16X2DtKo?si=FGpbC7m3QmK9hhYHL_78yw #ResponsibleMetrics

This #podcast on Metrics' use for decision making has really great ideas. It's wortwhile to listen it (I took a couple of examples from it) #responsiblemetrics
https://open.spotify.com/episode/70nf1LR0C02FmU16X2DtKo?si=FGpbC7m3QmK9hhYHL_78yw