Leveraging Machine Learning to Detect Data Curation Activities

@article{Lafia2021LeveragingML,
  title={Leveraging Machine Learning to Detect Data Curation Activities},
  author={Sara Lafia and Andrea K. Thomer and David Bleckley and Dharma Akmon and Libby Hemphill},
  journal={2021 IEEE 17th International Conference on eScience (eScience)},
  year={2021},
  pages={149-158}
}
This paper describes a machine learning approach for annotating and analyzing data curation work logs at ICPSR, a large social sciences data archive. The systems we studied track curation work and coordinate team decision-making at ICPSR. Archive staff use these systems to organize, prioritize, and document curation work done on datasets, making them promising resources for studying curation work and its impact on data reuse, especially in combination with data usage analytics. A key challenge… Expand
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