Analysis of Data Sharing and Reproducibility Problem in Computing Field
[Purpose/Significance]Computational reproducibility is the cornerstone of reliable and credible research.To investigate and analyze data policies,data availability and reproducibility methods of journals and conferences in computing field can provide references for promoting data sharing and solving computational re-producibility issues.[Method/Process]With web survey research and content analysis method,it analyzed journal data policies and conference data policies.It used web crawler to obtain data availability statement of journal article and analyze the current situation of data availability.Then,it summarized computational reproducibility methods.[Result/Conclusion]Most journals and more than half of the conferences in computing field have data policies,but the intensity of data sharing attitudes still needs to be improved.Journals or conferences with higher level are more likely to have data policies.Compared with journals focusing on data sharing issues,conferences pay more attention to the problem of computational reproducibility.The data availability statement promotes data sharing,but there is still a gap between data sharing practices and data sharing policy requirements.Computational reproducibility methods include data sharing,expert review,setting rewards,paper submission checklist,calling for reproducibility papers and so on.
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