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Do Authors Deposit on Time? Tracking Open Access Policy Compliance

Herrmannova, Drahomira; Pontika, Nancy and Knoth, Petr (2019). Do Authors Deposit on Time? Tracking Open Access Policy Compliance. In: 2019 ACM/IEEE Joint Conference on Digital Libraries, 2-6 Jun 2019, Urbana-Champaign, IL.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1109/JCDL.2019.00037
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Abstract

Recent years have seen fast growth in the number of policies mandating Open Access (OA) to research outputs. We conduct a large-scale analysis of over 800 thousand papers from repositories around the world published over a period of 5 years to investigate: a) if the time lag between the date of publication and date of deposit in a repository can be effectively tracked across thousands of repositories globally, and b) if introducing deposit deadlines is associated with a reduction of time from acceptance to open public availability of research outputs. We show that after the introduction of the UK REF 2021 OA policy, this time lag has decreased significantly in the UK and that the policy introduction might have accelerated the UK's move towards immediate OA compared to other countries. This supports the argument for the inclusion of a time-limited deposit requirement in OA policies.

Item Type: Conference or Workshop Item
Copyright Holders: © 2019 IEEE
Extra Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Open Access, Scholarly Data, Research Evaluation, Research Excellence Framework, REF, CORE
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Big Scientific Data and Text Analytics Group (BSDTAG)
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Item ID: 60478
Depositing User: Drahomira Herrmannova
Date Deposited: 17 Apr 2019 14:54
Last Modified: 06 Jun 2019 00:54
URI: http://oro.open.ac.uk/id/eprint/60478
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