Ten principles for machine-actionable data management plans

@article{Miksa2019TenPF,
  title={Ten principles for machine-actionable data management plans},
  author={Tomasz Miksa and Stephanie Renee Simms and Daniel Mietchen and Sarah Jones},
  journal={PLoS Computational Biology},
  year={2019},
  volume={15}
}
Data management plans (DMPs) are documents accompanying research proposals and project outputs. DMPs are created as free-form text and describe the data and tools employed in scientific investigations. They are often seen as an administrative exercise and not as an integral part of research practice. There is now widespread recognition that the DMP can have more thematic, machine-actionable richness with added value for all stakeholders: researchers, funders, repository managers, research… 

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