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ZENODO
Dataset . 2016
License: CC 0
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2016
License: CC 0
Data sources: ZENODO
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Open Digital Science Study - Scenarios

Authors: Erich Prem; Fermin Serrano; Dietmar Lampert; Francisco Sanz; Martina Lindorfer;

Open Digital Science Study - Scenarios

Abstract

Narrative scenarios about envisaged future use of ODS exemplifying ODS semantics, implications, trends and thus providing the necessary level of concreteness for detailed discussions with experts and general public. ODS concept and vision refinement are pursued using scenarios of potential future ODS usage as a proxy. The scenarios assist in communicating the vision, explore future trends, discuss options for measuring ODS uptake and impact and generally stimulate the discussion with a broad community. The different aspectsof ODS are difficult to embrace in a single definition or description. We therefore propose to facilitate the ODS vision validation using future ODS scenarios as an intermediary conceptual step. These scenarios about the future of ODS help to communicate the ideas, discuss trends and their implications, understand issues and collect policy needs. Scenario-based exploratory techniques have proven useful for strategic forecasting of technical trends [Geschka & Hanenwald 13, Mieke 07, Lizaso et al. 04] and more recently for research and technology policy [Prem et al. 14, Prem 14]. Open online discussions (facilitated by study team members and supported by the imagery of future ODS scenarios) play a central element of the ODS methodology. The scenarios facilitate communication of different ODS vision aspects and the expert and open community assessment.

Keywords

open science, open digital science, scenarios

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download
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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8
2