Abstract
This report presents outputs of the International Digital Curation Conference 2017 workshop on machine-actionable data management plans. It contains community-generated use cases covering eight broad topics that reflect the needs of various stakeholders. It also articulates a consensus about the need for a common standard for machine-actionable data management plans to enable future work in this area.
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CITATION STYLE
APA
Simms, S., Jones, S., Mietchen, D., & Miksa, T. (2017). Machine-actionable data management plans (maDMPs). Research Ideas and Outcomes, 3, e13086. https://doi.org/10.3897/rio.3.e13086
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