BitView : using blockchain technology to validate and diffuse global usage data for academic publications
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We suggest that blockchain technology could be used to underpin a validated, reliable, and transparent usage metric for research outputs. Previous attempts to create online usage metrics have been unsuccessful largely because it has been difficult to co-ordinate agreement between all parties on the rules of data collection and the distribution of the workload of data synthesis and dissemination. Blockchain technology can be utilized to bypass this co-ordination problem. We propose the creation of a bibliometric blockchain (called BitView) which forms a decentralized ledger of the online usage of scholarly research outputs. By means of a worked example, we demonstrate how this blockchain could ensure that all parties adhere to the same rules of data collection, and that the workload of data synthesis is distributed equitably. Moreover, we outline how public-private key cryptography could ensure that users’ data remains private while librarians, academics, publishers, and research funders retain open access to all the data they require. It is concluded that a usage metric underpinned by blockchain technology may lead to a richer and healthier ecosystem in which publishers and academics are incentivized to widen access to their research.
Camillo Lamanna & La Manna , M M A 2018 , BitView : using blockchain technology to validate and diffuse global usage data for academic publications . in M Dobreva , A Hinze & M Žumer (eds) , Maturity and Innovation in Digital Libraries : International Conference on Asian Digital Libraries (ICADL 2018) . Lecture Notes in Computer Science , vol. 11279 , Springer Nature , pp. 267-277 , International Conference on Asian-Pacific Digital Libraries , Hamilton , New Zealand , 19/11/18 . DOI: 10.1007/978-3-030-04257-8_28conference
Maturity and Innovation in Digital Libraries
© Springer Nature Switzerland AG 2018. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/978-3-030-04257-8_28
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