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https://doi.org/10.31235/osf.i...
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Researchers’ perceptions, patterns, motives, and challenges in self-archiving as a function of the discipline

Authors: Shlomit Hadad; Noa Aharony;

Researchers’ perceptions, patterns, motives, and challenges in self-archiving as a function of the discipline

Abstract

The green open access (OA) model, which offers the most economical approach to comply with open access policies, can increase researchers’ audience and scientific outputs impact by delivering wider and easier access. This study examined researchers’ perceptions from STEM (science, technology, engineering, math) and SSH (social sciences, art and humanities) disciplines in order to reveal the types, patterns, motives, and challenges underlying their articles’ self-archiving in the green route to open-access (repositories and institutional repositories) and ASNs (academic social networks). Interviews were conducted with 20 Israeli academic researchers. Half were from STEM and half from SSH disciplines. Interviews were mapped using a bottom-up thematic analysis and follow-up quantitative comparisons. According to the findings, STEM researchers self-archived pre/post-print versions of their articles to subject-based repositories as a part of their discipline norm resulting from their funding grant requirements and as a way to receive recognition and claim priority. SSH researchers post a link to the printed-published article at the publisher’s website in ASNs, and their goal is greater visibility. In addition, findings indicate a lack of awareness, mostly by SSH researchers, regarding copyright issues and OA repositories. The green OA model provides opportunities for researchers to self-archive their work. However, there are differences between the disciplines regarding where, when, why, and how to self-archive, and what is considered a legitimate mode of green OA. This indicates an urgent need to raise SSH researchers’ awareness of the existence of open subject-based repositories and of the terms of self-archiving from publishers.

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Keywords

SocArXiv|Social and Behavioral Sciences|Library and Information Science, bepress|Social and Behavioral Sciences, SocArXiv|Arts and Humanities, Arts and Humanities, SocArXiv|Social and Behavioral Sciences, Social and Behavioral Sciences, bepress|Social and Behavioral Sciences|Library and Information Science, Library and Information Science, bepress|Arts and Humanities

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
hybrid