SKA-Link is a 2-year project led by the AMIGA team that belongs to the i-LINK programme (Programa CSIC Conexión Internacional “i-LINK”). This call has the objective of promoting international scientific collaborations with foreign institutions. 

The AMIGA team aims to create a deep understanding of the best technical strategies for successfully exploiting the immense flow of science-ready data that SKA will generate. To achieve this goal, it has taken advantage of its experience in e-Science and SKA-SDP (SKA Science Data Processor) membership to establish a collaboration and produce a general framework of Best Practices to be considered in the design of the SKA Regional Centres.

In order to elaborate this general framework of Best Practices, SKA-Link will promote the collaboration between 1) key members of the SDP consortium plus the ones involved in the design of SKA Regional Centres, 2) experts on cutting edge e-Science technologies for the scientific exploitation of Distributed Computing Infrastructures (DCIs ) and 3) Fujitsu Laboratories of Europe, contributing to make of SKA a reference, not only in science and technology, but in the scientific methodology too.

In summary, the 3 main objectives of SKA-Link are:

  1. To make an inventory of technologies enabling scientists to exploit scientific data. For designing the SKA Regional Centres it will be necessary to have a deep knowledge about the state of the art tools of DCIs to perform efficient exploitations of the scientific data
  2. To assess combinations of those technologies supporting advances in the scientific methods.
  3. To describe the properties that SKA Regional Centres have to fulfil to be considered a reference in science, technology and scientific methodology. They will provide a framework that assists the astronomers to exploit the SKA data.

This project aims at going further and study how this framework could assist the astronomers to increase the quality of their scientific methods and results, with an emphasis on tools that facilitate the reproducibility of the scientific methods and their verification.


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