
Communicating science data Historically, science and innovation opportunities have only been available to a minority of the population, such as staff in universities or large companies with research departments. Publicly funded science has for some time incentivized the publishing of open data sets in order to make science more transparent and accessible. However, open release of datasets is not enough to enable the public to access this data – there must be structured science communication activities and resources to enable participants make sense and understand the evidence behind scientific findings. There is a range of approaches to science communi‑cation from unidirectional transmission of information to active participation, with different methods of engagement in between. More participatory approaches view science communication as a dialogue and discussion between the public, experts, and decision-makers. In these approaches, such as citizen science, people are involved in research and actively make sense of science data. Active and engaging participation leads to better awareness, enjoyment, interest, and understanding of science. Furthermore, we propose that better access to science data and the use of multiple forms of interactive media will enable more diverse and engaging ways of science communication. This report, aimed at academics and academic policy makers, will highlight the benefits of not just publishing science data for other scientists but making it easier for the public to use. We will also highlight the benefits of widening the ways in which the public can participate in science research, depending on the level of involvement that they want – whether it is active participation or if it is simply having better access to underlying evidence of published science communications.
| 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 |
