Abstract
Despite long-standing threats of disruption to scholarly publishing, the community has remained remarkably unchanged over the last two decades. However, underlying this apparent inertia, there is an alternative approach that may emerge over the next few years as known problems move into the foreground, and a number of key social and technical issues are resolved. Furthermore, the industry of science and scientific communication are not isolated from the current economic epoch: collaboration and cost-effectiveness are strong drivers for change. The technological components of this new scholarly universe – natural language processing, semantic technologies such as taxonomies, ontologies and linking – will come together with collaborative innovations inspired by Web 2.0 social media. The final components in recreating a new publishing model are identity and reward, and these are being resolved by the forthcoming Open Research and Contributor ID (ORCID) project and the altmetrics movement respectively.
Highlights
For 20 years, the publishing world has been living under the threat of disintegration in the face of new technology
The relationship between scholarly research trends and the economic climate has been fully demonstrated by Science-Metrix[9]: The organizations that promote scholarly work are as affected by the economic climate as anyone else
They have a keen interest in reducing cost and in advancing innovation and are favouring more open and complete forms of publishing in our new scholarly universe
Summary
For 20 years, the publishing world has been living under the threat of disintegration in the face of new technology This threat has clearly failed to materialize, and yet that which has changed within scholarly publishing has been structurally trivial. New advances in scientific technique and computer science have meant that the amount of data being produced ( in medicine, physics and genetic research) is so massive that it is a serious challenge to the IT infrastructure of research organizations.[2] This growth – in all senses – means that it is getting harder to manage the constant stream of information, of data, of critical knowledge – and to correctly judge the relevance and accuracy of all of these findings. The ubiquity of computing power and social networking fulfil these last two requirements
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