Issue |
ITM Web Conf.
Volume 33, 2020
International Conference on ICT enhanced Social Sciences and Humanities (ICTeSSH 2020)
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 9 | |
Section | Open Science | |
DOI | https://doi.org/10.1051/itmconf/20203301004 | |
Published online | 14 August 2020 |
What flowers can bloom in a green open access landscape? Imagining a future with BitViews.
School of Economics and Finance, University of St Andrews St Andrews Scotland, UK
* Corresponding author: mlm@st-andrews.ac.uk
BitViews is a blockchain application that collects, validates, and aggregates worldwide online usage data of author’s approved manuscripts (AAMs) deposited in Open Access Institutional Repositories. It creates a free public ledger of usage events that allows anyone to see which research outputs have been accessed, where, and when, thus providing the raw material to construct discipline- and region-specific non-citation based measures of research impact.
BitViews’ short-term implications include:
- 1.
The re-alignment of journal impact measures (from citations to usage);
- 2.
Changed patterns in the production of research articles (towards high- usage topics);
- 3.
Creation of new networks of research collaboration;
- 4.
Enhanced opportunity for open data sharing.
BitViews’ long-term effects are transformative. Because BitViews promotes the “unbundling” of AAMs from published articles, it endows AAMs with independent value. Two disruptive consequences follow: the very concept of APCs is undermined and the conditions are created for the academy to regain ownership of peer review. Relegating commercial publishers to the role of providers of post-AAM services, huge resources will be released. As soon as AAMs are de‐ coupled from articles, the same process and infrastructure can be applied to research monographs, thereby completing the cycle of Open Access to the whole production of knowledge.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.