Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Valentijn, Edwin

  • Google
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University of Groningen

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2019The Role of the Euclid Archive System in the Processing of Euclid and External Datacitations
  • 2018Data Validation Beyond Big Datacitations
  • 2013The Astro-WISE datacentric information system41citations
  • 2007Astro-WISE: Chaining to the Universecitations

Places of action

Chart of shared publication
Boxhoorn, D.
1 / 1 shared
Tsyganov, A.
1 / 1 shared
Droge, B.
1 / 1 shared
Williams, O. R.
1 / 1 shared
Mcfarland, J. P.
1 / 2 shared
Begeman, K.
2 / 2 shared
Dabin, C.
1 / 1 shared
Vriend, W. J.
1 / 3 shared
Boxhoorn, D. R.
2 / 3 shared
Belikov, A. N.
1 / 1 shared
Mellier, Y.
1 / 2 shared
Tempelaar, M. J.
1 / 2 shared
Vriend, W.-J.
1 / 1 shared
Kuijken, K.
1 / 2 shared
Deul, E.
1 / 2 shared
Silvotti, R.
1 / 1 shared
Capaccioli, M.
1 / 2 shared
Verdoes Kleijn, Gijs
1 / 1 shared
Vermeij, R.
1 / 2 shared
Rengelink, R.
1 / 2 shared
Helmich, E.
1 / 2 shared
Heraudeau, P.
1 / 2 shared
Farland, John Mc
1 / 1 shared
Neeser, M.
1 / 2 shared
Snigula, J.
1 / 2 shared
Begeman, K. G.
1 / 2 shared
Bertin, E.
1 / 3 shared
Bender, R.
1 / 3 shared
Saglia, R.
1 / 2 shared
Chart of publication period
2019
2018
2013
2007

Co-Authors (by relevance)

  • Boxhoorn, D.
  • Tsyganov, A.
  • Droge, B.
  • Williams, O. R.
  • Mcfarland, J. P.
  • Begeman, K.
  • Dabin, C.
  • Vriend, W. J.
  • Boxhoorn, D. R.
  • Belikov, A. N.
  • Mellier, Y.
  • Tempelaar, M. J.
  • Vriend, W.-J.
  • Kuijken, K.
  • Deul, E.
  • Silvotti, R.
  • Capaccioli, M.
  • Verdoes Kleijn, Gijs
  • Vermeij, R.
  • Rengelink, R.
  • Helmich, E.
  • Heraudeau, P.
  • Farland, John Mc
  • Neeser, M.
  • Snigula, J.
  • Begeman, K. G.
  • Bertin, E.
  • Bender, R.
  • Saglia, R.
OrganizationsLocationPeople

document

Data Validation Beyond Big Data

  • Valentijn, Edwin
Abstract

From KiDsto Euclid OU-Extto Eucliddata validation.For the OmegaCAM@VSTdatahandling we have buildand operated the distributed information system Astro-WISE. Astro-WISE was successfully used for the processing of KiDS data and particularly its built in extreme data-lineage facilitated the quality control and re-processing of the data with improved calibrationsand improved code.Many of the aspects of the Astro-WISE approach will be applied in the data centric information systembeing build for the data processing for the Euclid satellite. However, the large amounts of data from Euclid in combination with the required much higher accuracies and danger of plural hidden systematics and biasesforces to anticipatea new erabeyond the Big data hype: data validation.In popular terms discriminating facts and fakes.I will discuss some new steps towards advanced data validation, such asbuild in dynamical reference systems in theOU-Ext approach,the validation of and by machine learning,and applying extreme data lineage to trace the roots and dependenciesof data products.

Topics
  • machine learning