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Selection Methods for Quantitative Processing of Digital Data for Scientific Heritage Studies

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Digital Transformation and Global Society (DTGS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 859))

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Abstract

The methods of newly appeared field of Digital Humanities are getting more and more popular in the history of science. These methods influence the establishing of digital information resources accumulating and aggregating huge amount of metadata and full text publications. In a previous publication we used an example of a Russian evolutionary biologist and ecologist Georgy F. Gause to preliminary estimate the potential of digital resources for the science studies including history of science. We selected prioritized resources to be used in further research.

The present study explores the methods of selection, processing and quantitative analysis of data extracted from digital information resources. Our concentration is on the digital information resources offering structured metadata. We selected, processed and visualized extracted metadata. Based on the analysis of the achieved results we came to the conclusion on the potential of using digital information resources in the history of science. Besides, the possibility of extracting unstructured metadata has been explored.

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Author information

Authors and Affiliations

  1. St. Petersburg State University, Universitetskaya nab. 7/9, 199034, St. Petersburg, Russia

    Dmitry Prokudin

  2. ITMO University, Kronverksky Pr. 49, 197101, St. Petersburg, Russia

    Dmitry Prokudin & Georgy Levit

  3. Jena University, Am Steiger 3, 07743, Jena, Germany

    Uwe Hossfeld

Authors
  1. Dmitry Prokudin
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  2. Georgy Levit
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  3. Uwe Hossfeld
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Corresponding author

Correspondence to Dmitry Prokudin .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

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Prokudin, D., Levit, G., Hossfeld, U. (2018). Selection Methods for Quantitative Processing of Digital Data for Scientific Heritage Studies. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2018. Communications in Computer and Information Science, vol 859. Springer, Cham. https://doi.org/10.1007/978-3-030-02846-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-02846-6_11

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-02846-6

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