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

TL;DR

This study uses research information systems to analyze data acquisition and sharing practices among computer scientists, revealing differences across disciplines and study types, and demonstrating the system's utility in understanding research data behaviors.

Contribution

It introduces a coding framework and classification method to analyze research data practices using publication data from research information systems.

Findings

Life sciences and computational research frequently reuse open data.

Experimental and human studies often collect original data.

Most studies had limited data sharing for reuse.

Abstract

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.