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Quality of Research Information in RIS Databases: A Multidimensional Approach

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Business Information Systems (BIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 353))

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Abstract

For the permanent establishment and use of a RIS in universities and academic institutions, it is absolutely necessary to ensure the quality of the research information, so that the stakeholders of the science system can make an adequate and reliable basis for decision-making. However, to assess and improve data quality in RIS, it must be possible to measure them and effectively distinguish between valid and invalid research information. Because research information is very diverse and occurs in a variety of formats and contexts, it is often difficult to define what data quality is. In the context of this present paper, the data quality of RIS or rather their influence on user acceptance will be examined as well as objective quality dimensions (correctness, completeness, consistency and timeliness) to identify possible data quality deficits in RIS. Based on a quantitative survey of RIS users, a reliable and valid framework for the four relevant quality dimensions will be developed in the context of RIS to allow for the enhancement of research information driven decision support.

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Author information

Authors and Affiliations

  1. German Center for Higher Education Research and Science Studies (DZHW), Schützenstraße 6a, 10117, Berlin, Germany

    Otmane Azeroual

  2. Otto-von-Guericke-University Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Otmane Azeroual & Gunter Saake

  3. University of Applied Sciences (HTW) Berlin, Wilhelminenhofstraße 75 A, 12459, Berlin, Germany

    Otmane Azeroual & Mohammad Abuosba

  4. GERiiCO-Labor, University of Lille, 59650, Villeneuve-d’Ascq, France

    Joachim Schöpfel

Authors
  1. Otmane Azeroual
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  2. Gunter Saake
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  3. Mohammad Abuosba
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  4. Joachim Schöpfel
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Corresponding author

Correspondence to Otmane Azeroual .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. ETSI Informática, University of Seville, Seville, Spain

    Rafael Corchuelo

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Azeroual, O., Saake, G., Abuosba, M., Schöpfel, J. (2019). Quality of Research Information in RIS Databases: A Multidimensional Approach. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-030-20485-3_26

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  • DOI: https://doi.org/10.1007/978-3-030-20485-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20484-6

  • Online ISBN: 978-3-030-20485-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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