Difference between revisions of "Data Management"

Revision as of 15:14, 10 February 2015

A data management plan is a written assessment of how project or research data will be collected, organized, shared, maintained, and preserved.

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?

Invite project representatives to answer data management questions using the DSG template in the DMPTool
Ask them to keep track of questions that are difficult to answer
Meet with project reps to discuss difficult questions and provide guidance for difficult data management areas

Data and Project Materials: What kinds of data? (genres, file formats); How much?; Who is the audience for your data?; How might your data be reused?; What will will be needed to reuse your data?
Organization and Standards: How are your files named?; How is your file directory structured?; Are you using a metadata standard?; What data formats?; How are you documenting your data? (wiki, codebook)
Data access, sharing, and re-use policies: What do you plan to share?; How will users access the shared data?; When will users have access?; Can data be redistributed?; Can other works be derived from your data?; Are there ethical or legal restrictions on access and use?; How will restrictions be handled?; How will you guarantee safe, untampered data?; Where is your data stored?; What is the life span of your stored data?
Roles and responsibilities?: Who is responsible for metadata and documentation?; Who secures the data?; Who ensures data is backed up and not corrupted?

@@ Line 31: / Line 31: @@
 *How do we want to organize the questions?
 *What is the end result?
+====Possible DM Questions====
+;Data and Project Materials
+: What kinds of data? (genres, file formats)
+: How much?
+: Who is the audience for your data?
+: How might your data be reused?
+: What will will be needed to reuse your data?
+;Organization and Standards
+: How are your files named?
+: How is your file directory structured?
+: Are you using a metadata standard?
+: What data formats?
+: How are you documenting your data? (wiki, codebook)
+;Data access, sharing, and re-use policies
+: What do you plan to share?
+: How will users access the shared data?
+: When will users have access?
+: Can data be redistributed?
+: Can other works be derived from your data?
+: Are there ethical or legal restrictions on access and use?
+: How will restrictions be handled?
+: How will you guarantee safe, untampered data?
+: Where is your data stored?
+: What is the life span of your stored data?
+;Roles and responsibilities?
+: Who is responsible for metadata and documentation?
+: Who secures the data?
+: Who ensures data is backed up and not corrupted?
 ==Resources==
 * [http://dsg.neu.edu/wiki/DSG_Data_Management_Resources Resources]