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