Data management encompasses the practices, responsibilities, procedures, and policies that apply to those aspects of data related to (1) collection or creation, (2) management, (3) sharing or publication, and (4) preservation or archiving. When applying for funding, many key organizations (NSF, NIH, NEH, etc.) require the submission of a data management plan as part of the grant application process.
This guide will assist you through the process for developing a plan, as well as helping you to identify and address the research funders' requirements.
How will the data be created?
How will the data be processed?
How will the data be analyzed?
How will the data be preserved?
How will the data be made accessible?
When and how will the data be available for reuse?
The following list identifies a number of resources available online. Please note some resources originate outside of the U.S. and therefore "may present copyright issues in ways that are specific to their country of origin and are not consonant with U.S. copyright law."
A data management plan:
The following list identifies a number of training resources available online. Please note some resources originate outside of the U.S. and therefore "may present copyright issues in ways that are specific to their country of origin and are not consonant with U.S. copyright law."
