  Without sufficient information about research data practices occurring in a
particular research organisation, there is a risk of mismatching research data
service efforts with the needs of its researchers. This study describes how
data acquiring and data sharing occurring within a particular research
organisation can be investigated by using current research information system
publication data. A sample of 193 journal articles published by researchers in
the computer science department of the case study's university during 2019 were
extracted for scrutiny from the current research information system. For these
193 articles, a classification of the main study types was developed to
accommodate the multidisciplinary nature of the case department's research
agenda. Furthermore, a coding framework was developed to capture the key
elements of data acquiring and data sharing. The articles representing life
sciences and computational research relatively frequently reused open data,
whereas data acquisition of experimental research, human interaction studies
and human intervention studies often relied on collecting original data. Data
sharing also differed between the computationally intensive study types of life
sciences and computational research and the study types relying on collection
of original data. Research data were not available for reuse in only a minority
of life science (n= 2; 7%) and computational research (n = 15; 14%) studies.
The study types of experimental research, human interaction studies and human
intervention studies less frequently made their data available for reuse. This
study demonstrates that analyses of publications listed in current research
information systems provide detailed descriptions how the affiliated
researchers acquire and share research data.
