Quality of Research Information in RIS Databases: A Multidimensional Approach Otmane Azeroual 1,2,3(&) , Gunter Saake 2 , Mohammad Abuosba 3 , and Joachim Schöpfel 4 1 German Center for Higher Education Research and Science Studies (DZHW), Schützenstraße 6a, 10117 Berlin, Germany Azeroual@dzhw.eu 2 Otto-von-Guericke-University Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany 3 University of Applied Sciences (HTW) Berlin, Wilhelminenhofstraße 75 A, 12459 Berlin, Germany 4 GERiiCO-Labor, University of Lille, 59650 Villeneuve-d’Ascq, France 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 dif ficult 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. Keywords: Research information systems (RIS) Á Research information Á Utility Á System acceptance Á Data quality dimensions Á Data quality measurement Á Data quality improvement Á Reliability Á Validity Á Structural equation modeling 1 Introduction For the operation of a research information system (RIS) as a central source of information in academic institutions, the quality of the research information and the reliability of derived statements is of central importance. RIS is a database and tool of research administration that specifically supports the management and provision of research information and its activities (such as af filiation of persons to institutions, publications, research projects, patents, etc.). The peculiarity of RIS is to understand, manage, evaluate and further develop the portfolio of scientific research activities of academic institutions. © Springer Nature Switzerland AG 2019 W. Abramowicz and R. Corchuelo (Eds.): BIS 2019, LNBIP 353, pp. 337–349, 2019. https://doi.org/10.1007/978-3-030-20485-3_26