Open Access to Scientific Literature - Increasing Citations as an Incentive for Authors to Make Their Publications Freely Accessible

Bernius, Steffen; Hanauske, Matthias

doi:10.1109/hicss.2009.335

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…Both of these qualitative and quantitative differences are statistically significant, but keep in mind that the accessibility of papers and artifacts are not independent: some conferences that encouraged artifacts were also open-access, particularly those with the ACM. Another dependent covariate with accessibility is citations; several studies suggested that accessible papers are better cited ( Bernius & Hanauske, 2009 ; Niyazov et al, 2016 ; Snijder, 2016 ), although others disagree ( Calver & Bradley, 2010 ; Davis & Walters, 2011 ; McCabe & Snyder, 2015 ). This dependence may explain part of the higher citability of papers with artifacts, as elaborated next.…”

Section: Resultsmentioning

confidence: 99%

“…Among the many paper-related factors studied in relation to citations is the paper’s text availability, which our data shows to be also linked with artifact availability. there exists a rich literature examining the association between a paper’s own accessibility and higher citation counts, the so-called “OA advantage” ( Bernius & Hanauske, 2009 ; Davis & Walters, 2011 ; Sotudeh, Ghasempour & Yaghtin, 2015 ; Wagner, 2010 ).…”

Section: Related Workmentioning

confidence: 99%

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Research artifacts and citations in computer systems papers

Frachtenberg

2022

PeerJ Computer Science

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Research in computer systems often involves the engineering, implementation, and measurement of complex systems software and data. The availability of these artifacts is critical to the reproducibility and replicability of the research results, because system software often embodies numerous implicit assumptions and parameters that are not fully documented in the research article itself. Artifact availability has also been previously associated with higher paper impact, as measured by citations counts. And yet, the sharing of research artifacts is still not as common as warranted by its importance. The primary goal of this study is to provide an exploratory statistical analysis of the artifact-sharing rates and associated factors in the research field of computer systems. To this end, we explore a cross-sectional dataset of papers from 56 contemporaneous systems conferences. In addition to extensive data on the conferences, papers, and authors, this analyze dataset includes data on the release, ongoing availability, badging, and locations of research artifacts. We combine this manually curated dataset with citation counts to evaluate the relationships between different artifact properties and citation metrics. Additionally, we revisit previous observations from other fields on the relationships between artifact properties and various other characteristics of papers, authors, and venue and apply them to this field. The overall rate of artifact sharing we find in this dataset is approximately 30%, although it varies significantly with paper, author, and conference factors, and it is closer to 43% for conferences that actively evaluated artifact sharing. Approximately 20% of all shared artifacts are no longer accessible four years after publications, predominately when hosted on personal and academic websites. Our main finding is that papers with shared artifacts averaged approximately 75% more citations than papers with none. Even after controlling for numerous confounding covariates, the release of an artifact appears to increase the citations of a systems paper by some 34%. This metric is further boosted by the open availability of the paper’s text.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Research artifacts and citations in computer systems papers

Frachtenberg

2022

PeerJ Computer Science

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“…A similar process is employed in other contexts, specifically the use of Game Theory (e.g. Hanauske, Bernius, & Dugall, 2007), and modelling of citation networks (Bernius & Hanauske, 2009). A quite different example is found in the use of Actor Network Theory (Cana, 2010;Rieger, 2008), which as discussed above constitutes both a theory of interaction and a research method.…”

Section: Theory Generationmentioning

confidence: 99%

Open Access in Theory and Practice

Pinfield¹,

Wakeling²,

Bawden³

et al. 2020

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Open Access in Theory and Practice investigates the theory-practice relationship in the domain of open access publication and dissemination of research outputs. Drawing on detailed analysis of the literature and current practice in OA, as well as data collected in detailed interviews with practitioners, policymakers, and researchers, the book discusses what constitutes "theory", and how the role of theory is perceived by both theorists and practitioners. Exploring the ways theory and practice have interacted in the development of OA, the authors discuss what this reveals about the nature of the OA phenomenon itself and the theory-practice relationship. Open Access in Theory and Practice contributes to a better understanding of OA and, as such, should be of great interest to academics, researchers, and students working in the fields of information science, publishing studies, science communication, higher education policy, business, and economics. The book also makes an important contribution to the debate of the relationship between theory and practice in information science, and more widely across different fields of the social sciences and humanities.

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Some Fundamental Economics

Scheufen

2014

Copyright Versus Open Access

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Open Access to Scientific Literature - Increasing Citations as an Incentive for Authors to Make Their Publications Freely Accessible

Abstract: Abstract

Cited by 10 publications

References 23 publications

Research artifacts and citations in computer systems papers

Research artifacts and citations in computer systems papers

Open Access in Theory and Practice

Some Fundamental Economics

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