• Conférence
  • Académie suisse des sciences naturelles

Beyond impact factor, h-Index and university rankings: Evaluate science in more meaningful ways

2018
nov. 21
13:30 - 17:30
Lieu de l'activité
Kursaal Bern
Star as a symbol for ratings and assessments
Image: Photocase
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Star as a symbol for ratings and assessments
Star as a symbol for ratings and assessments (Image: Photocase)

The conference aims to:
• Highlight the limitations of metrics in capturing scientific quality and the resulting pressure on the quality of scientific output;
• Present assessment approaches - San Francisco Declaration on Research Assessment DORA, Leiden Manifesto for Research Metrics - that challenge conventional metrics;
• Consider whether steps are necessary to maintain the high quality of the Swiss science landscape long-term.

The last few decades saw an unprecedented growth in the number of scientists and scientific institutions competing for limited resources in terms of employment opportunities and research funding. The ambition to allocate the available means to the best scientists and science favoured the establishment of quantitative metrics to assess the scientific merit of the sheer volume of research output. Impact and citation factors related to journals and publications as well as rankings of institutions are the best-known such tools. Inadvertently, however, these measurements potentially undermine the quality in science because they incite violations of globally accepted research integrity principles with adverse effects: scientific progress is hampered, the value of science to society and policy-making as trusted and authoritative source is jeopardised, and public research funding is not used effectively.

  • Associations

Conference report "Beyond impact factor, h-Index and university rankings"
  • 2018
  • Académie suisse des sciences naturelles
  • Compte-rendu du congrès

Beyond impact factor, h-Index and university rankings: Evaluate science in more meaningful ways

Renowned experts highlighted the limitations of metrics in capturing scientific quality and the resulting pressure on the quality of scientific output and presented approaches that challenge conventional metrics. The implications for the Swiss science landscape long-term were the subject of a stakeholder roundtable and discussion with the audience.
2018
oct. 29
Open Data
  • Académie suisse des sciences naturelles
  • Plateforme MAP
  • Atelier
  • Conférence
  • Bern

Open Data and Data Management - Issues and Challenges

The SCNAT is organizing this one day event in Bern, with the aim to give the research community the chance to raise their concern and also the SNF and the European Commission to present their view and to inform about recent trends. The workshop should provide recommendations on how to implement the open data requirements.
Change: Wandel in der Wissenschaftskultur
  • 15.10.2018
  • ASSH
  • Académie suisse des sciences naturelles
  • Communiqué de presse

La qualité avant la quantité

Le système de recherche se développe parce que la productivité est récompensée. Ce qui fait sens pour l’économie peut conduire à des incitations négatives dans la science. La qualité des résultats scientifiques ne peut parfois plus être suffisamment assurée. Tout particulièrement en cette période de « fake news », la confiance dans la science ne doit pas être compromise. Dans une récente publication, l'Académie suisse des sciences humaines et sociales et l'Académie des sciences naturelles plaident pour la qualité avant la quantité.

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Académie suisse des sciences naturelles

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Langues : Anglais

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