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Crowds for clouds: recent trends in humanities research infrastructures

Authors: Laurent Romary; Conny Kristel; Tobias Blanke;

Crowds for clouds: recent trends in humanities research infrastructures

Abstract

International audience; Humanities have convincingly argued that they need transnational research opportunities and through the digital transformation of their disciplines also have the means to proceed with it on an up to now unknown scale. The digital transformation of research and its resources means that many of the artifacts, documents, materials, etc. that interest humanities research can now be combined in new and innovative ways. Due to the digital transformations, (big) data and information have become central to the study of culture and society. Humanities research infrastructures manage, organise and distribute this kind of information and many more data objects as they becomes relevant for social and cultural research.

Country
France
Keywords

[ INFO.INFO-DL ] Computer Science [cs]/Digital Libraries [cs.DL], [ SHS ] Humanities and Social Sciences, [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], digital transformation, Research infrastructure, [SHS]Humanities and Social Sciences, humanities

Aloia, N., Papatheodorou, C., Gavrilis, D., Debole, F. & Meghini, C. Describing Research Data: A Case Study for Archaeology. On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014. Springer, 768-775. [OpenAIRE]

Anderson, S. & Blanke, T. 2012. Taking the long view: from e-science humanities to humanities digital ecosystems. Historical Social Research/Historische Sozialforschung, 147-164.

Anderson, S., Blanke, T. & Dunn, S. 2010. Methodological commons: arts and humanities eScience fundamentals. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368, 3779-3796.

Aradau, C. & Blanke, T. 2013. The politics of digital crowds. Lo Squaderno, 33, 31-38.

Basecamp. 2008. The NO!SPEC campaign vs. crowdSPRING [Online]. Available: (https://signalvnoise.com/posts/1253-the-nospec-campaign-vs-crowdspring.

Bernipe, P. 2014. European's Cultural Heritage Online [Online]. Available: http://epthinktank.eu/2014/04/09/europes-cultural-heritage-online/.

Blanke, T. 2014. Digital Asset Ecosystems: Rethinking crowds and cloud, Elsevier.

Blanke, T., Bodard, G., Bryant, M., Dunn, S., Hedges, M., Jackson, M. & Scott, D. Linked data for humanities research-The SPQR experiment. Digital Ecosystems Technologies (DEST), 2012 6th IEEE International Conference on, 2012. IEEE, 1-6.

Blanke, T., Bryant, M. & Hedges, M. Back to our data-Experiments with NoSQL technologies in the Humanities. Big Data, 2013 IEEE International Conference on, 2013. IEEE, 17-20.

Blanke, T., Bryant, M., Hedges, M., Aschenbrenner, A. & Priddy, M. Preparing DARIAH. E-Science (e-Science), 2011 IEEE 7th International Conference on, 2011. IEEE, 158- 165.

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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).
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    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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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!
Average
Average
Average
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