128 · Representative Documents: Data Management Plan Tools
JOHNS HOPKINS UNIVERSITY
Questionnaire to Help with the Creation of a Data Management Plan
http://dmp.data.jhu.edu/sites/default/files/Questionnaire.doc
Revised 2/16/12
Questionnaire to Help with the Creation of a Data Management Plan
JHU Data Management Services of the Sheridan Libraries datamanagement@jhu.edu
How to use this document
This questionnaire distills NSF’s guidelines for what to address in your data management plan. You can
use the section headings in your own document. The questions can help you structure the content of each
section of the plan. The table in section 1 facilitates listing the different data types for your study. Some
researchers are including the table in their plan. Please note that you may not need to address all questions
under a numbered category, and in some cases, you may not need to address each category, though any
omissions should be justified in your plan. See endnotes for more tips, (view by placing mouse over the
blue numbers in text). If you have any questions on the content of this questionnaire, please contact a JHU
data management consultant at datamanagement@jhu.edu.
1. Data Products and Standards
Research Outputs
Data Source Data Product Format(s) Estimated Size
or Amount
1
2
3
You may include this table and use numbers to reference corresponding data types in your plan, or use
numbered text paragraphs if needed to fit the 2-page format. 1
Data and Metadata Standards 2
1. Do the listed data products use standards for formats or metadata, and why are you using them? If not,
will your project develop and maintain standardized formatting and metadata?
2. What details (metadata) are necessary for others to use your data?
3. How will metadata be generated (automatically, manually, or both)?
4. What naming conventions/schema will be used for your data, if any?
5. What data dictionaries/taxonomies/ontologies will you use for your data, if used within your field?
6. How will lineage/provenance of some or all of your data be documented (e.g., processing steps
executed on raw source data)?
7. What tools will be required to read the data (e.g., software, instruments)?
2. Data Storing and Long-Term Preservation 3
Storage during project
8. What digital and non-digital data will be retained during the project?
9. How (i.e., media) and where (i.e., location(s)) will the data be stored and who is responsible for it?
10. How and where will the data be backed up and who is responsible for it?
11. If data need to be secured through access controls (e.g. password-protected network space), how will
they be applied? (e.g. local passwords, institutional LDAP or Shibboleth)
12. If data are stored in an unusual or not generally accessible format, will they be converted to a more
common format for storage or sharing?
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