eScience today and tomorrow-Part 2
Pages 93 - 94
Abstract
This special section contains the second part of a set of top papers from the 10th IEEE International eScience Conference (eScience 2014), held in October 2014 in Guarujá, Brazil). The authors of strongly-reviewed papers published in that conference were invited to extend their papers, which then went through a second peer review. This special section contains the three papers that comprise the second set of the extended papers. Part 1, with another seven extended papers, was already published in a previous issue of FGCS 1.
References
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Claudia Bauzer Medeiros, Daniel S. Katz, eScience-today and tomorrow, Future Gener. Comput. Syst. (2015).
[2]
Daniel S. Katz, David Abramson, Recent advances in e-science, Future Gener. Comput. Syst., 29 (2013) 548.
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Erwin Laure, Sverker Holmgren, Preface, Future Gener. Comput. Syst., 29 (2013) 2115-2116.
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Daniel S. Katz, Zhao Zhang, Special issue on eScience infrastructure and applications, Future Gener. Comput. Syst., 36 (2014) 335-337.
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Andréa Matsunaga, Workforce-efficient consensus in crowdsourced transcription of biocollections information, Future Gener. Comput. Syst. (2016).
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Andrew Tokmakoff, Ausplots rangelands field data collection and publication: infrastructure for ecological monitoring, Future Gener. Comput. Syst. (2016).
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Arcanjo, Methods for evaluating volunteers' contributions in a deforestation detection citizen science project, Future Gener. Comput. Syst. (2016).
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Johannes-Y. Lohrer, A generic framework for synchronized distributed data management in archaeological related disciplines, Future Gener. Comput. Syst. (2016).
[9]
Kyle Chard, Globus Nexus: a platform-as-a-service provider of research identity, profile, and group management, Future Gener. Comput. Syst. (2016).
[10]
Johannes Starlinger, Effective and efficient similarity search in scientific workflow repositories, Future Gener. Comput. Syst. (2016).
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Ryan Chard, Kris Bubendorfer, Bryan Ng, Network health and e-Science in commercial clouds, Future Gener. Comput. Syst. (2016).
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S.G. Djorgovski, M.J. Graham, C. Donalek, A.A. Mahabal, A.J. Drake, M. Turmon, T. Fuchs, Real-time data mining of massive data streams from synoptic sky surveys, Future Gener. Comput. Syst., 59 (2016) 95-104.
[13]
Fernanda Nascimento Almeida, Gisela Tunes, Julio Cezar Brettas da Costa, Ester Cerdeira Sabino, Alfredo Mendrone-Júnior, João Eduardo Ferreira, A provenance model based on declarative specifications for intensive data analyses in hemotherapy information systems, Future Gener. Comput. Syst., 59 (2016) 105-113.
[14]
Daniel S. Katz, Andre Merzky, Zhao Zhang, Shantenu Jha, Application skeletons: Construction and use in eScience, Future Gener. Comput. Syst., 59 (2016) 114-124.
[15]
Elsevier 2015 A review of the UK's interdisciplinary research using a citation-based approach. Report to the UK HE funding bodies and MRC by Elsevier. July, 2015, 130 pages - http://www.hefce.ac.uk/media/HEFCE,2014/Content/Pubs/Independentresearch/2015/Review,of,the,UKs,interdisciplinary,research/2015_interdisc.pdf.
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Elsevier Science Publishers B. V.
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Published: 01 June 2016
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