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

This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data. Without sufficient information about researchers’ data sharing, there is a risk of mismatching FAIR data service efforts with the needs of researchers. This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data. The advancement of FAIR data would benefit from novel methodologies that reliably examine data sharing at the level of multidisciplinary research organisations. Studies that use CRIS publication data to elicit insight into researchers’ data sharing may therefore be a valuable addition to the current interview and questionnaire methodologies. Data was collected from the following sources: All 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 coding framework was developed to capture the key elements of acquiring and sharing research data. Article DOIs are included in the research data. The scientific journal articles and theirs DOIs are used in this study for the purpose of academic expression. The raw data is compiled into a single CSV file. Rows represent specific articles and columns are the values of the data points described below. Author names and affiliations were not collected and are not included in the data set. The following data points were used in the analysis: Data points Main study types Literature-based study (e.g. literature reviews, archive studies, studies of social media) yes/no Novel computational methods (e.g. algorithms, simulations, software) yes/no Interaction studies (e.g, interviews, surveys, tasks, ethnography) yes/no Intervention studies (e.g., EEG, MRI, clinical trials) yes/no Measurement studies (e.g. astronomy, weather, acoustics, chemistry) yes/no Life sciences (e.g. “omics”, ecology) yes/no Data acquisition Article presents a data availability statement yes/no Article does not utilise data yes/no Original data was collected yes/no Open data from prior studies were used yes/no Open data from public authorities, companies, universities and associations yes/no Data sharing Article does not use original data yes/no Data of the article is not available for reuse yes/no Article used openly available data yes/no Authors agree to share their data to interested readers yes/no Article shared data (or part of) as supplementary material yes/no Article shared data (or part of) via open deposition yes/no Article deposited code or used open code yes/no