Risk Assessment for Scientific Data

@article{Mayernik2020RiskAF,
  title={Risk Assessment for Scientific Data},
  author={Matthew S. Mayernik and Kelsey Breseman and Robert R. Downs and Ruth E. Duerr and Alexis Garretson and Chung-Yi Hou},
  journal={Data Sci. J.},
  year={2020},
  volume={19},
  pages={10}
}
Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data use is a key step in preventing or minimizing data loss. This paper presents an analysis of data risk factors that scientific data collections may face, and a data risk assessment matrix to support data risk assessments to help ameliorate those… 

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