Article

A formalised model of the scientific publication process

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Abstract

The scientific publishing process has during the past few years undergone considerable changes. The socio-economic structures have, however, not changed much, and many academics and librarians view the current situation as highly unsatisfactory. This has triggered a number of initiatives to set up e-print repositories and electronic peer reviewed journals, which usually offer the full text for free on the Web. Serious in-depth research studying the way the scholarly communication system is affected by the Internet is needed. In this article a formal process model of the scientific publishing process is presented (the Scientific Publication Life-Cycle Model). The model has been developed in particular to provide a basis for studying the cost implications of different business models. It describes the life-cycle of the single publication, in particular the refereed journal article, from the research leading to it and writing it, to being read by other researchers years later or used as a catalyst for practical implementation. Conclusions are drawn about the usefulness of the modelling methodology for this particular purpose as well as of future uses of the model itself. In addition to providing a basis for cost studies the model could function as a road map for different types of open access initiatives.

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... "Without publication, science is dead" (Day & Gastel, 2012, p. 18), making clear the general assumption that all data and results should be published (Jacot, 1937). Commonly, academic work is published in a monograph, conference paper, academic journal article, or miscellaneous form (Björk & Hedlund, 2004), with journal and conference proceedings frequently indexed in bibliographic databases. There are a large number of bibliographic databases available, however Scopus and Web of Science (WoS), which were both established for the specific aim of facilitating citation searching and bibliometric analysis, are broadly considered most popular (Alonso, Cabrerizo, Herrera-Viedma, & Herrera, 2009;Meho & Yang, 2007). ...
... Since the 1990s, the academic publication system has undergone considerable changes (Tenopir & King, 2009). For example, introduction of the Internet, technical advances with online journals (Björk & Hedlund, 2004), financial considerations for journal operations with the option of open access (Guerrero & Piqueras, 2010), and differential pricing of print and online subscriptions (Statzner & Resh, 2010) are changing the underlying publishing model of operators within the system. External drivers such as the use of quantity and quality measures of publications as institutional performance metrics in global university rankings (Hazelkorn, 2013) have manipulated both individual and institutional agendas since 2003. ...
... Since the 1990s, with the introduction of Internet, the academic publication system has undergone considerable change (Tenopir & King, 2009). One of the major changes that has occurred is the increase in the number of online journals (Björk & Hedlund, 2004). Additionally, the emergence of university ranking systems in 2002 refocused both institutional and individuals attention to publication metrics (Hazelkorn, 2009). ...
Article
Since the publication of the first academic journal in 1665, the number of academic journal titles has grown steadily. In 2001, Mabe and Amin studied the pattern of growth in the number of academic journals worldwide, identifying three key development periods between 1900 and 1996. These three episodes are from 1900 to 1944, from 1944 to 1978, and from 1978 to 1996. The compound annual growth rates for each episode are 3.30, 4.68 and 3.31 % respectively. In this research, we seek to validate these findings, and extend on previous work to analyze journal growth patterns from 1986 to 2013. Our results show academic journals grew at an average rate of 4.7 % from 1986 to 2013, which is very similar to the growth rate during the Big Science period observed in the previous study. Our results also show that academic journals had an estimated 92 % Active rate, and 8 % Inactive rate annually. Out of all Active journals, approximately 43 % have high impact and reach JCR or SJR databases, and 26 % have relatively higher impact and are thus collected in the JCR database. The comparison results of Active/Inactive SJR and JCR journals suggest that lower impact journals have a higher chance to become Inactive than higher impact journals. With the wide use of the Internet in academic science, our results expectedly show that the number of Print-Only journals is gradually decreasing while the number of Online-Only journals is increasing. The growth of Online-Only journals exceeds the growth of Print-Only journals in 2007, and the number of Online-Only journals exceeded the number of Print and Only journals in 2012. More than 30 % Newly Created journals provide Open Access. It is suggested that we are experiencing the second journal boom in history and Internet technology has changed the academic publication system.
... However, in many regions and subject areas these efforts often only reach a minority of researchers. Moreover, curation itself currently faces many uncertainties, not the least due to unknown costs [16,17,23,[32][33][34], plus several barriers and other difficulties [6,18,20,22,35,36]. There is also a particularly problematic interaction with Open Data. ...
... Published works are expected to remain available in the long term and this is also true for electronic publications. Yet, electronic publications face particular additional challenges in terms of acquisition, usage, e.g., [35,44,45], and preservation, e.g., [46]. Nevertheless, we believe that memory institutions such as libraries are in a reasonable position to warrant the curation of well defined content such as scientific publications regardless of their form, even if they only obtain it after its production is finished. ...
Article
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Research as a digital enterprise has created new, often poorly addressed challenges for the management and curation of research to ensure continuity, transparency, and accountability. There is a common misunderstanding that curation can be considered at a later point in the research cycle or delegated or that it is too burdensome or too expensive due to a lack of efficient tools. This creates a curation gap between research practice and curation needs. We argue that this gap can be narrowed if curators provide attractive support that befits research needs and if researchers consistently manage their work according to generic concepts consistently from the beginning. A rather uniquely long-term case study demonstrates how such concepts have helped to pragmatically implement a research practice intentionally using only minimalist tools for sustained, self-contained archiving since 1989. The paper sketches the concepts underlying three core research activities. (i) handling of research data, (ii) reference management as part of scholarly publishing, and (iii) advancing theories through modelling and simulation. These concepts represent a universally transferable best research practice, while technical details are obviously prone to continuous change. We hope it stimulates researchers to manage research similarly and that curators gain a better understanding of the curation challenges research practice actually faces.
... According to Bjork and Hedlund (2004) a breakdown of the costs of producing and delivering a typical refereed journal paper indicates that perhaps as much as 90% of the cost consists of the actual research work preceding the writing of the paper. The research work is usually financed by public bodies and the costs are in no way recuperated through the sales of publications (as would be the case for commercial products such as books, music compact disks, movies, and so forth). ...
... Furthermore, Bjork and Hedlund (2004) argue that a breakdown of the costs of producing and delivering a typical refereed journal paper indicates that perhaps as much as 90% of the cost consists of the actual research work preceding the writing of the paper. This research work is usually financed by public bodies and the costs are in no way recouped through the sales of publications (as would be the case for commercial products such as books, music compact disks, movies, and so forth). ...
... The scholarly communication lifecycle model developed by Björk. This model was developed by building on a previous model by Björk and Hudlund (2004). It consists of 33 separate diagrams, arranged in a hierarchy up to seven levels deep Björk (2007). ...
Article
This article seeks to give academic librarians insight and guidelines into the provision of an effective scholarly communication guidance to doctoral students. The findings of the study showed that doctoral students had not received much training and guidance on research and scholarly communication practices from their supervisors and academic librarians. The study adopted a case study research design with Kwame Nkrumah University of Science and Technology (KNUST) as the research site and sequential explanatory mixed method approach. A proposed scholarly communication guidance model to be used by the academic library is presented. The model proposes that scholarly communication guidance should be offered to doctoral students immediately they enrol for their programmes, throughout their research process, and finally when the research is completed since they are expected to conduct original research. The model will guide the drafting of policies and the academic library in developing tailor-made channels and contents for scholarly communication guidance to doctoral students. The study has contributed to the body of knowledge on scholarly communication guidance by the academic library to doctoral students as previous studies recorded in the literature pertains mostly to faculty and not to students – particularly doctoral students.
... Research collaboration patterns have changed over recent decades (Corley & Sabharwal, 2010;Gu & Blackmore, 2017;Henriksen, 2016). The reasons for these changes are diverse, but are principally attributed to a combination of technological advancement (Bar-Ilan, 2008;Björk & Hedlund, 2004;Nisonger, 1998;Statzner & Resh, 2010), increased participation in the academia (Hugo, 2008), and changing higher education policies and frameworks (Hazelkorn, 2009(Hazelkorn, , 2013. ...
Article
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The impact of university rankings has driven scholars to increase productivity, and expanding collaboration has dramatically changed the publishing patterns in the academic publication system. The aim of this study was to develop a scholar classification scheme from publication patterns in academic science. Classification schemes are ways of describing groups that display different clusters of behaviors, approaches, or perspectives, and useful in the development of typologies. In this research, sample data are selected from three representative universities, considered a leading university, a middle‐tier university, and a noncomprehensive university. A final set of 11,427 effective scholars and their 284,128 journal publication records were used to develop the classification scheme via cluster analysis. The results identify six types of scholars, labeled as: singleton (8%), small‐team low performer (16%), small‐team high performer (17%), big‐team strategist (22%), free‐style follower (21%), and life‐time warrior (17%). These six scholar types demonstrate different approaches to publishing that can be used to understand both individual and research team performance across different institutional settings. Additionally, possible future work was identified that uses the scholar classification scheme to define the behavior for agents in an agent‐based model to simulate the strategic‐behavior‐driven academic publication system.
... Since the publication of the first modern academic journal 350 years ago (Solomon 2007), the number of active academic titles has grown by an average of 3.3% per year (Mabe and Amin 2001). More recently, new technologies have led to major changes in the scholarly publishing system (Nisonger 1998): online journals (Björk and Hedlund 2004;Statzner and Resh 2010), large full-text databases (Bar-Ilan 2008), digital submission systems, e-repositories (Statzner and Resh 2010), open access journals and archives (Guerrero and Piqueras 2010), and research-focused search engines such as Google Scholar (Larsen and von Ins 2010). The increased connectivity of the scholarly community has also brought greater international collaboration among authors and journal editors (Lee and Bozeman 2005;Statzner and Resh 2010). ...
Article
Full text available here via Springer Nature Sharing: http://rdcu.be/DW3p Innovations in scholarly publishing have led to new possibilities for academic journals (e.g., open access), and provided scholars with a range of indicators that can be used to evaluate their characteristics and their impact. This study identifies and evaluates the journal characteristics reported in five databases: Ulrich’s Periodicals Directory (Ulrichs), Journal Citation Reports (JCR), SCImago Journal & Country Rank (SJR), Google Scholar Metrics (GS), and Cabell’s Periodical Directory (Cabells). It describes the 13 indicators (variables) that are available through these databases—scholarly impact, subject category, age, total articles, distribution medium, open access, peer review, acceptance rate, pricing, language, country, status, and issue frequency—and highlights the similarities and differences in the ways these indicators are defined and reported. The study also addresses the ways in which this kind of information can be used to better understand particular journals as well as the scholarly publishing system.
... The study of scholarly communication is itself an academic field of study. Traditionally, discussing and studying scholarly communications and publishing and OA have occurred in parallel in the sociology of science, communication, and librarianship and information sciences disciplines (Crane, 1972;Garvey & Griffith, 1972;Garvey, 1979;Latour & Woolgar, 1986;Latour, 1987;Odlyzko, 1996;Odlyzko, 2002;Björk, 2004;Bjork & Hedlund, 2004;Björk, 2005;Borgman, 2007;Laakso & Björk, 2012;Suber, 2012). The specific area of OA began with Stevan Harnad's subversive proposal originally circulated in 1991 (Okerson & O'Donnell, 1995) when the Internet's potential became clear. ...
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In this paper, we respond to five rebuttals to Kingsley and Kennan (2015). Four researchers in the information systems field and a university library director of research infrastructure provided these rebuttals. Almost without exception, the rebuttals from the information systems researchers take an analytical approach to the question of scholarly communication in their field. However, in undertaking their individual analyses of scholarly publishing or communication, they do not directly address the issues raised in our original debate piece. The rebuttal from the university library administrator (Groenewegen, 2015) alone directly addresses the discussion points raised in the original debate. As researchers in the field of scholarly communications, while this was not how we originally envisioned the debate, the rebuttals as a body of work have opened up some interesting themes, which we explore in addition to responding to the individual rebuttals.
... The study of scholarly communication is itself an academic field of study. Traditionally, discussing and studying scholarly communications and publishing and OA have occurred in parallel in the sociology of science, communication, and librarianship and information sciences disciplines (Crane, 1972;Garvey & Griffith, 1972;Garvey, 1979;Latour & Woolgar, 1986;Latour, 1987;Odlyzko, 1996;Odlyzko, 2002;Björk, 2004;Bjork & Hedlund, 2004;Björk, 2005;Borgman, 2007;Laakso & Björk, 2012;Suber, 2012). The specific area of OA began with Stevan Harnad's subversive proposal originally circulated in 1991 (Okerson & O'Donnell, 1995) when the Internet's potential became clear. ...
Article
Full-text available
In this paper, we respond to five rebuttals to Kingsley and Kennan (2015). Four researchers in the information systems field and a university library director of research infrastructure provided these rebuttals. Almost without exception, the rebuttals from the information systems researchers take an analytical approach to the question of scholarly communication in their field. However, in undertaking their individual analyses of scholarly publishing or communication, they do not directly address the issues raised in our original debate piece. The rebuttal from the university library administrator (Groenewegen, 2015) alone directly addresses the discussion points raised in the original debate. As researchers in the field of scholarly communications, while this was not how we originally envisioned the debate, the rebuttals as a body of work have opened up some interesting themes, which we explore in addition to responding to the individual rebuttals.
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