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Without sufficient information about research data practices occurring in aparticular research organisation, there is a risk of mismatching research dataservice efforts with the needs of its researchers. This study describes howdata acquiring and data sharing occurring within a particular researchorganisation can be investigated by using current research information systempublication data. A sample of 193 journal articles published by researchers inthe computer science department of the case study's university during 2019 wereextracted for scrutiny from the current research information system. For these193 articles, a classification of the main study types was developed toaccommodate the multidisciplinary nature of the case department's researchagenda. Furthermore, a coding framework was developed to capture the keyelements of data acquiring and data sharing. The articles representing lifesciences and computational research relatively frequently reused open data,whereas data acquisition of experimental research, human interaction studiesand human intervention studies often relied on collecting original data. Datasharing also differed between the computationally intensive study types of lifesciences and computational research and the study types relying on collectionof original data. Research data were not available for reuse in only a minorityof life science (n= 2; 7%) and computational research (n = 15; 14%) studies.The study types of experimental research, human interaction studies and humanintervention studies less frequently made their data available for reuse. Thisstudy demonstrates that analyses of publications listed in current researchinformation systems provide detailed descriptions how the affiliatedresearchers acquire and share research data.

Using current research information systems to investigate data acquisition and data sharing practices of computer scientists