Workflow Research Projects

EGI-Engage

EGI-Engage, ongoing

Full name Engaging the Research Community towards an Open Science Commons
Homepage
Facebook
LinkedIn
Twitter
http://www.egi.eu/about/egi-engage/
http://www.facebook.com/europeangrid
http://www.linkedin.com/groups/European-Grid-Infrastructure-3344148
https://twitter.com/EuropeanGrid
Start date 1 March 2015
End date 31 August 2017
Description EGI-Engage aims to accelerate the implementation of the Open Science Commons by expanding the capabilities of a European backbone of federated services for compute, storage, data, communication, knowledge and expertise, complementing community-specific capabilities.

SCI-BUS

SCI-BUS, past

Full name SCIentific gateway Based User Support
Homepage
Facebook
Twitter
YouTube
http://www.sci-bus.eu/
http://www.facebook.com/SCIBUS.project
http://twitter.com/SCIBUSproject
http://www.youtube.com/user/SCIBUSproject
Start date 1st October 2011
End date 30th September 2014
Description The SCI-BUS project aims to ease the life of e-Scientists by creating a new science gateway customisation methodology based on the generic-purpose gUSE/WS-PGRADE portal family. The customised science gateways will enable scientists to focus on their work and exploit resources of main Distributed Computing Infrastructures (DCIs) without the need to deal with the underlying infrastructures' details.

SHIWA

SHIWA, past

Full name SHaring Interoperable Workflows for large-scale scientific simulations on Available DCIs
Homepage
Facebook
Twitter
http://www.shiwa-workflow.eu
http://www.facebook.com/SHIWA.technology
http://twitter.com/SHIWAtechnology
Start date 1st July 2010
End date 30th September 2012
Description SHIWA project provided a technology to share and reuse already existing workflows among different workflow systems and DCIs. According to the new SHIWA technologies publicly available workflows can be used by different research communities working on different workflow systems and are enabled to run on multiple distributed computing infrastructures. As a result workflow communities are not locked any more in to their selected workflow system and its supported distributed computing infrastructure.
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