Open Science 2.0: How Research and Education Can Benefit from Open Innovation and Web 2.0

Tacke, Oliver

doi:10.1007/978-3-642-14481-3_4

Cited by 23 publications

(18 citation statements)

References 11 publications

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“…Comparable trends were observed in political science (Fisher et al 1998), physics (Braun et al 1992), and economics (Maske et al 2003). Studies even show that authors with a high h-index are those who collaborate widely with others, form strong alliances, and are less likely to be bonded to a certain in-group (Pike 2010;Tacke 2010). According to Merton (1973), the principle of openness has always been an integral part within the academic community.…”

Section: Perspectives Of Open Sciencementioning

confidence: 99%

“…On Grand et al 2012;Gowers and Nielsen 2009;Haeussler 2011;Jong and Slavova 2014;Lievrouw 2010;Meyer and Schroeder 2013;Mukherjee and Stern 2009;Neylon and Wu 2009;Nielsen 2012;Procter et al 2010;Scheliga and Friesike 2014;Tacke 2010;Waldrop 2008), and open innovation (e.g., Chesbrough 2003aChesbrough , 2003bChesbrough , 2006Dahlander and Gann, 2010;van de Vrande et al 2010).…”

Section: Perspectives Of Open Sciencementioning

confidence: 99%

“…Many universities started to offer public lectures or courses with the goal in mind to bring science and research closer to society and to market scientific findings. Most of the public lectures are streamed online and thus are globally available (Tacke 2010). Additionally, this trend includes the rise of open access journals that provide users with the non-restricted right to read, download, copy, distribute, print, search, or link to the full texts of articles.…”

Section: Perspectives Of Open Sciencementioning

confidence: 99%

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Opening science: towards an agenda of open science in academia and industry

Widenmayer²,

et al. 2014

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The shift towards open innovation has substantially changed the academic and practical understanding of corporate innovation. While academic studies on open innovation are burgeoning, most research on the topic focuses on the later phases of the innovation process. So far, the impact and implications of the general tendency towards more openness in academic and industrial science at the very front-end of the innovation process have been mostly neglected. Our paper presents a conceptualization of this open science as a new research paradigm. Based on empirical data and current literature, we analyze the phenomenon and propose four perspectives of open science. Furthermore, we outline current trends and propose directions for future developments.

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Section: Perspectives Of Open Sciencementioning

confidence: 99%

Section: Perspectives Of Open Sciencementioning

confidence: 99%

Section: Perspectives Of Open Sciencementioning

confidence: 99%

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Opening science: towards an agenda of open science in academia and industry

Widenmayer²,

et al. 2014

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“…'Paying twice for research' refers to the fact that citizens do not only indirectly finance government-funded research but also the subsequent acquisition of publications from public libraries. Carroll also criticizes the inefficiency of traditional, subscription-financed scientific journals in times of growth in digital technologies and networks [17]. He argues that prices should drive down in the light of the Internet-instead they have increased drastically.…”

Section: B Open Access To Research Publicationsmentioning

confidence: 99%

“…He argues that prices should drive down in the light of the Internet-instead they have increased drastically. He further argues that the open access model would shift the balance of power in journal publishing and greatly enhances the efficiency and efficacy of scientific communication [17]. By shifting the financing away from subscriptions, the open-access model re-aligns copyright and enables broad re-use of publications while at the same time assuring authors and publishers that they receive credit for their effort (e.g.…”

Section: B Open Access To Research Publicationsmentioning

confidence: 99%

Open Science: One Term, Five Schools of Thought

2013

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu Terms of use: Documents in Abstract:Open Science is an umbrella term that encompasses a multitude of assumptions about the future of knowledge creation and dissemination. Based on a literature review, this paper aims at structuring the overall discourse by proposing five Open Science schools of thought: The infrastructure school (which is concerned with the technological architecture), the public school (which is concerned with the accessibility of knowledge creation), the measurement school (which is concerned with alternative impact measurement), the democratic school (which is concerned with access to knowledge) and the pragmatic school (which is concerned with collaborative research).

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Mining and Visualizing Research Networks Using the Artefact-Actor-Network Approach

Reinhardt

Wilke

Moi

et al. 2012

Computational Social Networks

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Virtual communities are increasingly relying on technologies and tools of the so-called Web 2.0. In the context of scientific events and topical Research Networks, researchers use Social Media as one main communication channel. This raises the question, how to monitor and analyze such Research Networks. In this chapter we argue that Artefact-Actor-Networks (AANs) serve well for modeling, storing and mining the social interactions around digital learning resources originating from various learning services. In order to deepen the model of AANs and its application to Research Networks, a relevant theoretical background as well as clues for a prototypical reference implementation are provided. This is followed by the analysis of six Research Networks and a detailed inspection of the results. Moreover, selected networks are visualized. Research Networks of the same type show similar descriptive measures while different types are not directly comparable to each other. Further, our analysis shows that narrowness of a Research Network's subject area can be predicted using the connectedness of semantic similarity networks. Finally conclusions are drawn and implications for future research are discussed.

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Open Science 2.0: How Research and Education Can Benefit from Open Innovation and Web 2.0

Cited by 23 publications

References 11 publications

Opening science: towards an agenda of open science in academia and industry

Opening science: towards an agenda of open science in academia and industry

Open Science: One Term, Five Schools of Thought

Mining and Visualizing Research Networks Using the Artefact-Actor-Network Approach

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