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Target and (Astro-)WISE technologies Data federations and its applications

Published online by Cambridge University Press:  30 May 2017

E. A. Valentijn
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, email: valentyn@astro.rug.nl
K. Begeman
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, email: valentyn@astro.rug.nl
A. Belikov
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, email: valentyn@astro.rug.nl
D. R. Boxhoorn
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, email: valentyn@astro.rug.nl
J. Brinchmann
Affiliation:
Leiden Observatory, Leiden University
J. McFarland
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, email: valentyn@astro.rug.nl
H. Holties
Affiliation:
ASTRON, Dwingeloo
K. H. Kuijken
Affiliation:
Leiden Observatory, Leiden University
G. Verdoes Kleijn
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, email: valentyn@astro.rug.nl
W-J. Vriend
Affiliation:
Kapteyn Astronomical Institute, University of Groningen, email: valentyn@astro.rug.nl
O. R. Williams
Affiliation:
Center for Information Technology, University of Groningen
J. B. T. M. Roerdink
Affiliation:
Johann Bernoulli Institute, University of Groningen
L. R. B. Schomaker
Affiliation:
ALICE, University of Groningen
M. A. Swertz
Affiliation:
University Medical Center Groningen, University of Groningen
A. Tsyganov
Affiliation:
Center for Information Technology, University of Groningen
G. J. W. van Dijk
Affiliation:
Target Holding, Groningen
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Abstract

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After its first implementation in 2003 the Astro-WISE technology has been rolled out in several European countries and is used for the production of the KiDS survey data. In the multi-disciplinary Target initiative this technology, nicknamed WISE technology, has been further applied to a large number of projects. Here, we highlight the data handling of other astronomical applications, such as VLT-MUSE and LOFAR, together with some non-astronomical applications such as the medical projects Lifelines and GLIMPS; the MONK handwritten text recognition system; and business applications, by amongst others, the Target Holding.

We describe some of the most important lessons learned and describe the application of the data-centric WISE type of approach to the Science Ground Segment of the Euclid satellite.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2017 

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