
doi: 10.7557/5.7845
Open Science is often presented as a solution to the multiple problems afflicting contemporary scientific practices, ranging from lack of reproducibility to dubious review procedures, inefficient communications, and lack of transparency around methods and circumstances of research. Much of the debate around Open Science and how it should be implemented verges, however, on the natural sciences – and particularly physics and biomedicine – as a reference point and model for research practice. It is also typically assumed that Open Science is a force for good for both science and society, making it possible for those who have so far been marginalized or excluded from knowledge-making processes to participate and contribute. In this talk, I challenge these two assumptions. I critique the idea of openness as “sharing resources” and propose an alternative understanding of the ideas of openness and transparency, grounded on a more engaged model for fostering the quality and inclusivity of research processes and outcomes. I close by suggesting ways to value a much wider diversity of research settings and domains – including agricultural research, marine and environmental science, and the humanities, arts and social sciences – as key interlocutors and precious models for Open Science implementation. See this presentation in this video recording.
transparency, public engagement, inclusivity, Open Data, diversity
transparency, public engagement, inclusivity, Open Data, diversity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
