In eScience, where vast data collections are processed in scientific workflows, new risks and challenges are emerging. Those challenges are changing the eScience paradigm, mainly regarding digital preservation and scientific workflows. To address specific concerns with data management in these scenarios, the concept of the Data Management Plan was established, serving as a tool for enabling digital preservation in eScience research projects. We claim risk management can be jointly used with a Data Management Plan, so new risks and challenges can be easily tackled. Therefore, we propose an analysis process for eScience projects using a Data Management Plan and ISO 31000 in order to create a Risk Management Plan that can complement the Data Management Plan. The motivation, requirements and validation of this proposal are explored in the MetaGen-FRAME project, focused in Metagenomics.

Data management has been emerging as a specific concern, which when applied through the full lifecycle of the data also has been named of data curation. However, when it comes to the estimation of costs for digital curation the references are rare. To address that problem we propose a method a pragmatic method based on the body of knowledge of risk assessment and the established concept of Business Model Canvas. The details of the method are presented, as also references to a tool to support it, and the demonstration is provided by its application to a real case (a national Web Archive).

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