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Episciences
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The Value of Network Sustainability: Why We Join Research Infrastructures

Authors: Elisabeth Heinemann;

The Value of Network Sustainability: Why We Join Research Infrastructures

Abstract

International audience; This paper develops the concept of network sustainability. To become and stay sustainable, distributed research infrastructures must satisfy present needs while at the same time be flexible and resilient to meet future requirements. For this it is not enough to merely build a resilient economic model and be technically viable. Research infrastructures that can understand, address and shape future needs have a sustainable community network. Clear characteristics of a research infrastructure with a sustainable network are that partners gain access to other networks and interest groups, that knowledge, information and expertise is shared freely among partners, that the infrastructure increases partners’ visibilities and vice versa, and that partners are enabled to stay current and state-of-the-art. This is shown on OPERAS (open access in the european research area through scholarly communication), a research infrastructure for open scholarly communication in the social sciences and humanities, and its partner the Max Weber Foundation, a German research institution.

Subjects by Vocabulary

Microsoft Academic Graph classification: Value (ethics) Open science Knowledge management business.industry media_common.quotation_subject Scholarly communication Sustainable community Sustainability Institution European Research Area Economic model business media_common

Keywords

network sustainability, open access, scholarly communication, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, social sciences and humanities, open science, [ SHS.INFO ] Humanities and Social Sciences/Library and information sciences

Arias, J. (2018). “Collecting inclusive usage metrics for Open Access publications: the HIRMEOS project.” Manuscript submitted for publication at the 22nd International Conference on Electronic Publishing.

Marin, A., & Wellman, B. (2011). “Social Network Analysis: An Introduction,” In The SAGE Handbook of Social Network Analysis. Ed. Scott, J., & Carrington, P. SAGE Publications Ltd.

Max Weber Foundation. (2018). “About Us.” maxweberstiftung.de/en/ueber-uns.html Mounier, P. (2017). “The structure of research in social sciences and humanities,” In OPERAS Design Study. http://doi.org/10.5281/zenodo.1009554 OPERAS “Advocacy Working Group”. (2018). “Advocacy White Paper.” Draft, available in June 2018.

OPERAS Consortium. (2017). OPERAS Design Study. http://doi.org/10.5281/zenodo.1009554 Provan, K.; & Kenis, P. (2007). “Modes of Network Governance: Structure, Management, and Effectiveness.” Journal of Public Administration Research and Theory. https://doi.org/10.1093/ jopart/mum015

Saxenian, A. (1996). “Inside-Out: Regional Networks and Industrial Adaptation in Silicon Valley and Route 128.” Cityscape: A Journal of Policy Development and Research. Vol. 2, n. 2. Office of Policy Development and Research at the U.S. Department of Housing and Urban Development.

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  • citations
    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).
    0
    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.
    Average
    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.
    Average
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citations
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!
0
Average
Average
Average
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