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FAIR Data Infrastructure

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Smart Biolabs of the Future

Part of the book series: Advances in Biochemical Engineering/Biotechnology ((ABE,volume 182))

Abstract

In this chapter the concept of research data management is highlighted in the context of the data publication and data infrastructures. One focus of this contribution lies on the topics of metadata and the FAIR data principles associated with data sharing and data infrastructures such as data repositories. The challenges for researchers and research communities towards open science are discussed and the first steps towards FAIR data infrastructures are illustrated.

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Notes

  1. 1.

    FAIR is the abbreviation for Findable, Accessible, Interoperable, and Re-usable (for further explanation see also chapter 4 “Fair Data Principles”, p. 5ff and FAIR principles at website of GO FAIR initiative [1]).

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Authors and Affiliations

  1. Technische Informationsbibliothek, Hannover, Germany

    Janna Neumann

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  1. Janna Neumann
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Correspondence to Janna Neumann .

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Editors and Affiliations

  1. Institute of Technical Chemistry, Leibniz University Hannover, Hannover, Germany

    Sascha Beutel

  2. Institute of Natural Materials Technology, Chair of Bioprocess Engineering, Technische Universitaet Dresden, Dresden, Germany

    Felix Lenk

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Neumann, J. (2022). FAIR Data Infrastructure. In: Beutel, S., Lenk, F. (eds) Smart Biolabs of the Future. Advances in Biochemical Engineering/Biotechnology, vol 182. Springer, Cham. https://doi.org/10.1007/10_2021_193

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