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Open Science and reproducibility

Authors: Julián Garrido; Lourdes Verdes-Montenegro; Susana Sánchez-Exposito; Sebastián Luna; Mike G. Jones;

Open Science and reproducibility

Abstract

SKA is an international project to build the largest and most sensitive radio telescope ever conceived, being the greatest data research public project, once complete. It will be composed of thousands of antennas on Africa and Australia and it will generate a copious data flux (around 1TB/s). A worldwide distributed network of SKA Regional Centres (SRCs) will provide access to the SKA data, to the analysis tools and processing power. The SRCs will be at the core of the exploitation of SKA data, being the place where the science will be done. We have long been aware of the need to face the challenge of handling SKA data to extract scientific knowledge, and our compromise is that this is done not only in an efficient way, but following the Scientific Method (hence in a reproducible way). Thus we are particularly engaged in the challenge of ensuring that Big Data science becomes Open Science in the SRCs, becoming the SRCs a reference not only in science and technology but also in Scientific Methodology. IAA-CSIC has started prototyping a SRC that will be fully aligned with the Open Science Principles. Astronomy has a long-standing tradition on Open Access through the International Virtual Observatory Alliance (IVOA) but there are new solutions emerging from other fields, involving using e-Science technologies to enhance scientific collaboration, ensuring transparency, opening data collection and methods, or encouraging Open Science.

Country
Germany
Keywords

Containerization, SKA, Conda, SKA Regional Centre, Jupiter Notebooks, Spanish SRC, Reproducibility, Open Access, Open Polices, Square Kilometre Array, Open Science, Open Data, Reproducible figures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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