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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Brandt DataSciJourn21 20-1.png|240px]]</div> | <!--<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Brandt DataSciJourn21 20-1.png|240px]]</div>//--> | ||
'''"[[Journal: | '''"[[Journal:Towards a risk catalog for data management plans|Towards a risk catalog for data management plans]]"''' | ||
Although [[Information management|data management]] and its careful planning are not new topics, there is little published research on [[Risk management|risk mitigation]] in data management plans (DMPs). We consider it a problem that DMPs do not include a structured approach for the [[Risk assessment|identification]] or mitigation of risks, because it would instill confidence and trust in the data and its stewards, and foster the successful conduction of data-generating projects, which often are funded research projects. In this paper, we present a lightweight approach for identifying general risk in DMPs. We introduce an initial version of a generic risk catalog for funded research and similar projects. By analyzing a selection of 13 DMPs for projects from multiple disciplines published in the ''Research Ideas and Outcomes'' (''RIO'') journal, we demonstrate that our approach is applicable to DMPs and transferable to multiple institutional constellations. As a result, the effort for integrating risk management in data management planning can be reduced. ('''[[Journal:Towards a risk catalog for data management plans|Full article...]]''')<br /> | |||
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Revision as of 16:39, 27 December 2021
"Towards a risk catalog for data management plans"
Although data management and its careful planning are not new topics, there is little published research on risk mitigation in data management plans (DMPs). We consider it a problem that DMPs do not include a structured approach for the identification or mitigation of risks, because it would instill confidence and trust in the data and its stewards, and foster the successful conduction of data-generating projects, which often are funded research projects. In this paper, we present a lightweight approach for identifying general risk in DMPs. We introduce an initial version of a generic risk catalog for funded research and similar projects. By analyzing a selection of 13 DMPs for projects from multiple disciplines published in the Research Ideas and Outcomes (RIO) journal, we demonstrate that our approach is applicable to DMPs and transferable to multiple institutional constellations. As a result, the effort for integrating risk management in data management planning can be reduced. (Full article...)
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