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Creating Inorganic Chemistry Data Infrastructure for Materials Science Specialists

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Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 706))

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Abstract

The analysis of the large infrastructure projects of information support of specialists realized in the world in the field of materials science is carried out (MGI, MDF, NoMaD, etc.). The brief summary of the Russian information resources in the field of inorganic chemistry and materials science is given. The project of infrastructure for providing the Russian specialists with data in this area is proposed.

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Acknowledgements

The authors thank A. V. Stolyarenko, V. V. Ryazanov, O. V. Sen’ko, A. A. Dokukin for their help in an information-analytical system development. Work is partially supported by the Russian Foundation for Basic Research, projects 16-07-01028, 17-0701362 and 15-07-00980.

Author information

Authors and Affiliations

  1. A. A. Baikov Institute of Metallurgy and Materials Science of Russian Academy of Sciences (IMET RAS), Moscow, Russia

    Nadezhda N. Kiselyova & Victor A. Dudarev

  2. National Research University Higher School of Economics (NRU HSE), Moscow, Russia

    Victor A. Dudarev

Authors
  1. Nadezhda N. Kiselyova
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  2. Victor A. Dudarev
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Corresponding author

Correspondence to Nadezhda N. Kiselyova .

Editor information

Editors and Affiliations

  1. Federal Research Center “Computer Science and Control” of RAS, Moscow, Russia

    Leonid Kalinichenko

  2. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  3. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

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Kiselyova, N.N., Dudarev, V.A. (2017). Creating Inorganic Chemistry Data Infrastructure for Materials Science Specialists. In: Kalinichenko, L., Kuznetsov, S., Manolopoulos, Y. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2016. Communications in Computer and Information Science, vol 706. Springer, Cham. https://doi.org/10.1007/978-3-319-57135-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-57135-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57134-8

  • Online ISBN: 978-3-319-57135-5

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