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Best Practice: Revisit data management plan throughout the project life cycle

BEST PRACTICE

Best Practices by Data Life Cycle




Revisit data management plan throughout the project life cycle

Data Life Cycle stage(s): Plan

The plan will be created at the conceptual stage of the project. It should be considered a living document and a road map for the project, and should be closely followed. Any changes to the data management plan should be made deliberately, and the plan should be updated throughout the data life cycle.

Data management planning provides crucial guidance to all stages of the data life cycle. It provides continuity for operations within the research group. The data management plan will define roles for all project participants and workflows for data collection, quality assurance, description, and deposit for preservation and access. The data management plan is a tool to communicate requirements and restrictions to all members of the project team, including researchers, archivists, librarians, IT staff and repository managers. The plan governs the active research phase of the project life cycle and makes provisions for the hand-off to a repository for preservation and data delivery.

Funding agencies and institutions require data management plans for project funding and approval.

Description Rationale

The data generated by research is seen as an increasingly valuable research output, and careful planning is required to optimize future use and reuse.

Additional Information

DataONE. Data Management Plans.

Inter-university Consortium for Political and Social Research.

Rice University. Office of Sponsored Research.

University of California, San Diego. Research Cyberinfrastructure.

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Cite this best practice:

Gunter Waibel, Perry Willett, DataONE  (May 08, 2018) "Best Practice: Revisit data management plan throughout the project life cycle". Accessed through the Data Management Skillbuilding Hub at https://dataoneorg.github.io/Education/bestpractices/revisit-data-management on Aug 22, 2019


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