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Science 2.0

Known as: Research 2.0, Science2.0, Data-driven science 
Science 2.0 is a suggested new approach to science that uses information-sharing and collaboration made possible by network technologies. It is… 
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Related topics

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Citizen scienceCrowdsourcingE-ScienceGalaxy Zoo

Broader (1)

Web 2.0

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Introduzione: corografia vs topografia
The contribution traces the theoretical framework of the essays contained in the volume, pointing out the renewed role of… 
2014
2014
Rob Kitchin: “Big data should complement small data, not replace them.”
Over the coming weeks we will be featuring a series of interviews conducted by Mark Carrigan on the nature of ‘big data’ and the… 
2013
2013
A stream partitioning approach to processing large scale distributed graph datasets
RDF datasets are an important source of big data. Many of them, however, are too large to fit on a single machine. One approach… 
Review
2012
Review
2012
Editorial: Physical Review in Physics Education Research 2.0
I am honored to be selected as the Editor of Physical Review Special Topics Physics Education Research (PRST-PER). I am fortunate… 
2012
2012
Wanting what we don't want to want: Representing addiction in interoperable bio-ontologies
Ontologies are being developed throughout the biomedical sciences to address standardization, integration, classification and… 
Review
2012
Review
2012
Science 2.0: Using Web Tools to Support Learning
January 2012, Using Web Tools to Support Learning [ILLUSTRATION OMITTED] Using Online Data The National Research Council's A… 
2010
2010
PodCastle: A Spoken Document Retrieval Service Improved by Anonymous User Contributions
In this invited paper, we introduce a public web service, PodCastle, that pro- vides full-text searching of speech data (Japanese… 
2010
2010
PodCastle: A Spoken Document Retrieval System Improved by User Contributions
In this paper, we describe a public web service, ``PodCastle'', that provides full-text searching of speech data (Japanese… 
2008
2008
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing… 
2005
2005
Supporting large scale data driven science in distributed environments
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