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.
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.Image: SCNAT
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.
Das Wissenschaftssystem wächst, denn Produktivität wird belohnt. Was in der Wirtschaft sinnvoll sein kann, führt in der Wissenschaft zu Fehlanreizen. Die Qualität wissenschaftlicher Ergebnisse kann teils nicht mehr ausreichend gesichert werden. Gerade in Zeiten von Fake News darf das Vertrauen in die Wissenschaft aber nicht gefährdet werden. Die Schweizerische Akademie der Geistes- und Sozialwissenschaften und die Akademie der Naturwissenschaften plädieren in einer eben veröffentlichten Publikation für Qualität vor Quantität.Image: Gilles Nikles (SAGW)