IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v115y2018i3d10.1007_s11192-018-2735-5.html
   My bibliography  Save this article

Data measurement in research information systems: metrics for the evaluation of data quality

Author

Listed:
  • Otmane Azeroual

    (German Center for Higher Education Research and Science Studies (DZHW)
    Otto-von-Guericke-University Magdeburg)

  • Gunter Saake

    (Otto-von-Guericke-University Magdeburg)

  • Jürgen Wastl

    (University of Cambridge)

Abstract

In recent years, research information systems (RIS) have become an integral part of the university’s IT landscape. At the same time, many universities and research institutions are still working on the implementation of such information systems. Research information systems support institutions in the measurement, documentation, evaluation and communication of research activities. Implementing such integrative systems requires that institutions assure the quality of the information on research activities entered into them. Since many information and data sources are interwoven, these different data sources can have a negative impact on data quality in different research information systems. Because the topic is currently of interest to many institutions, the aim of the present paper is firstly to consider how data quality can be investigated in the context of RIS, and then to explain how various dimensions of data quality described in the literature can be measured in research information systems. Finally, a framework as a process flow according to UML activity diagram notation is developed for monitoring and improvement of the quality of these data; this framework can be implemented by technical personnel in universities and research institutions.

Suggested Citation

  • Otmane Azeroual & Gunter Saake & Jürgen Wastl, 2018. "Data measurement in research information systems: metrics for the evaluation of data quality," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1271-1290, June.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:3:d:10.1007_s11192-018-2735-5
    DOI: 10.1007/s11192-018-2735-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2735-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-018-2735-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Otmane Azeroual & Joachim Schöpfel, 2019. "Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries," Publications, MDPI, vol. 7(1), pages 1-18, February.
    2. Otmane Azeroual & Joachim Schöpfel & Dragan Ivanovic, 2020. "Influence of Information Quality via Implemented German RCD Standard in Research Information Systems," Data, MDPI, vol. 5(2), pages 1-10, March.
    3. Joachim Schöpfel & Stéphane Chaudiron & Bernard Jacquemin & Eric Kergosien & Hélène Prost & Florence Thiault, 2023. "The Transformation of the Green Road to Open Access," Publications, MDPI, vol. 11(2), pages 1-12, May.
    4. Otmane Azeroual & Gunter Saake & Mohammad Abuosba & Joachim Schöpfel, 2020. "Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems," Data, MDPI, vol. 5(2), pages 1-13, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:115:y:2018:i:3:d:10.1007_s11192-018-2735-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.