Materials Cloud, a platform for open computational science

Author:

Talirz LeopoldORCID,Kumbhar Snehal,Passaro Elsa,Yakutovich Aliaksandr V.ORCID,Granata Valeria,Gargiulo Fernando,Borelli MarcoORCID,Uhrin Martin,Huber Sebastiaan P.,Zoupanos SpyrosORCID,Adorf Carl S.ORCID,Andersen Casper WelzelORCID,Schütt Ole,Pignedoli Carlo A.ORCID,Passerone DanieleORCID,VandeVondele Joost,Schulthess Thomas C.ORCID,Smit BerendORCID,Pizzi GiovanniORCID,Marzari NicolaORCID

Abstract

AbstractMaterials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their provenance graph, (2) modelling services and virtual machines, (3) tools for data analytics, and pre-/post-processing, and (4) educational materials. Data is citable and archived persistently, providing a comprehensive embodiment of entire simulation pipelines (calculations performed, codes used, data generated) in the form of graphs that allow retracing and reproducing any computed result. When an AiiDA database is shared on Materials Cloud, peers can browse the interconnected record of simulations, download individual files or the full database, and start their research from the results of the original authors. The infrastructure is agnostic to the specific simulation codes used and can support diverse applications in computational science that transcend its initial materials domain.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference44 articles.

1. Concordat Working Group. Concordat on Open Research Data. UK Research and Innovation, https://www.ukri.org/files/legacy/documents/concordatonopenresearchdata-pdf (2016).

2. Research Data Alliance. The Data Harvest Report – sharing data for knowledge, jobs and growth. RDA Europe, https://rd-alliance.org/data-harvest-report-sharing-data-knowledge-jobs-and-growth.html (2014).

3. Swiss National Science Foundation. SNSF Policy on Open Research Data. SNSF, http://www.snf.ch/en/theSNSF/research-policies/open_research_data/Pages/default.aspx (2017).

4. Directorate-General for Research & Innovation. Guidelines on FAIR Data Management in Horizon 2020. European Commission, http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf (2016).

5. Participants of Amsterdam Conference “Open Science - From Vision to Action”. Amsterdam Call for Action on Open340 Science. Dutch Ministry of Education, Culture and Science, https://www.government.nl/documents/reports/2016/04/04/amsterdam-call-for-action-on-open-science (2016).

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