This paper briefly outlines possible futures scenarios of science 2.0, analyses its implications and draws policy recommendations “fit for the future”. Science 2.0 is more than open access: it refers to the emergence of open, data-intensive and citizen science across the full research cycle, from data gathering to reputation management.
Science 2.0 is here to stay and it is already growing well beyond individual projects. On the supply side, an ecosystem of services and standards is emerging. Adoption is growing and becoming mainstream already in some phases such as preprint publication, reference sharing, open access publication. Impact is already visible and will address some of the most burning issues of science, such as the slowness of the publication process and the challenge of reproducing research results.
Based on the extrapolation of existing trends and on analogies from different domains, we anticipate a set of “scenario snippets”:
- The full integration of data, publications and intermediate product will enable reproducibility by default. But adoption of such sharing culture will require time and a new system of incentives based on impact metrics and career structure.
- Evaluation metrics will become multidimensional, granular and instantaneous;
- The work of scientist will change with greater collaboration and independence from institutions.
Overall, we will see an unbundling of services, which are today integrated. Research will be separated from teaching, data collection from data analysis, publication from reputation management. Different specialised service will emerge and displace the incumbents such as publishers and universities. At the same time, the value chain will reorganise through vertical integration around new platforms. These could be built around unexpected positions in the value chain, including electronic reading devices.
In terms of implications, these scenario show opportunities and risks in three main areas.
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