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Funding agencies and the public are requiring scholars to have specific plans for the comprehensive management and sharing of data.  While this is most evident in the sciences, scholars in other fields are also relying on data sets,  information sources, and information processing workflows for their practice. 




Although planning for data management and sharing will vary from project to project, some general frameworks developed by others can help understand the different kinds of information that might be needed in a data management plan.  The California Digital Library's University of California Curation Center (UC3) recommends that scholars think about data management during different phases of the research life cycle

  • Creating your data
  • Organizing your data
  • Managing your data
  • Sharing data

This comprehensive approach will demonstrate that your project has resources and plans in place to manage data throughout the project.

UC Berkeley IST resources