Difference between revisions of "Data Management"
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*Analyze the data (what kind(s) of data? how much data? who needs your data? how will it be used in the future?) | *Analyze the data (what kind(s) of data? how much data? who needs your data? how will it be used in the future?) | ||
*Organize the data (decide on file naming conventions, directory structures, metadata standards, data formats) | *Organize the data (decide on file naming conventions, directory structures, metadata standards, data formats) | ||
− | *Decide how the data can be accessed (what will be shared? how will it be shared? when will it be shared?) | + | *Decide how the data can be accessed (where will it be stored? what will be shared? how will it be shared? when will it be shared?) |
*Who is responsible for your data? | *Who is responsible for your data? | ||
Revision as of 16:48, 10 December 2014
What is a Data Management Plan?
A data management plan is a written assessment of how project or research data will be collected, organized, shared, maintained, and preserved.
Why Manage Your Data?
- Fulfill requirements
- Improve project efficiency
- Organize large sets of data
- Preservation
- Reuse
- Promote research
How Do I Create a DMP?
- Establish data management goals
- Consult funding agency guidelines (NSF, NEH, IMLS)
- Review checklists of recommended data management topics
- Use a data management planning tool, like DMPTool or DMPonline (UK)
Managing Your Data
- Analyze the data (what kind(s) of data? how much data? who needs your data? how will it be used in the future?)
- Organize the data (decide on file naming conventions, directory structures, metadata standards, data formats)
- Decide how the data can be accessed (where will it be stored? what will be shared? how will it be shared? when will it be shared?)
- Who is responsible for your data?
Working with Projects and Data
- Data Interviews