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					                      Questionnaire to Help with the Creation of a Data Management Plan
                                  JHU Data Management Services of the Sheridan Libraries; datamanagement@jhu.edu
                                                                Revised 8/30/11



What is the Data Management Plan?
The NSF requires proposals to include a supplementary document of no more than two pages labeled “Data Management Plan” (see GPG Chapter
II.C.2.j for full information). According to the NSF guidelines, this supplement should describe how the proposal will conform to the NSF policy on the
dissemination and sharing of research results (see AAG Chapter VI.D.4), and may include:

    1.   The types of data, samples, physical collections, software, curriculum materials, and other materials to be produced in the course of the project;

    2.   The standards to be used for data and metadata format and content (where existing standards are absent or deemed inadequate, this should be
         documented along with any proposed solutions or remedies);

    3.   Policies for access and sharing including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, or
         other rights or requirements;

    4.   Policies and provisions for re-use, re-distribution, and the production of derivatives; and

    5.   Plans for archiving data, samples, and other research products, and for preservation of access to them.

Data management requirements and plans specific to the Directorate, Office, Division, Program, or other NSF unit, relevant to a proposal are available
at: http://www.nsf.gov/bfa/dias/policy/dmp.jsp. If guidance specific to the program is not available, then the requirements established in this section
apply.


How to use this questionnaire

This questionnaire contains the five broad categories of data management that may need to be addressed in your data management plan, as informed by
the NSF data management plan guidelines. We have inserted questions below each of the areas to get you started on developing your 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. If you have any questions on the content of this questionnaire, please contact a JHU data management
consultant at datamanagement@jhu.edu.


This work is licensed under the Creative Commons Attribution--‐Noncommercial 3.0 Unported License. To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc/3.0/ .


                                                                              1
The types of data, samples, physical collections, software, curriculum materials, and other materials to be produced in the
course of the project;

What data gets created by the project, and what form?
What raw data is generated, what processed data is generated?
What data is expected to be managed by the project for sharing
and later archiving?
Who is expected to use the (shared) data?

How is the data generated and how is it acquired/accessioned?
What quality control/standards are applied to data generation,
acquisition and storage?
When is data generated?
What is the frequency and „rate‟ of data generated?

What software does the project create?
What software will and won‟t be managed?
Will software be archived?
Will software be made available for sharing?
Will there be any licensing for the software, if so what?




The standards to be used for data and metadata format and content (where existing standards are absent or deemed
inadequate, this should be documented along with any proposed solutions or remedies)

What data formats will be used for data generated?
What tools will be required to read the data?
What data and metadata standards will be employed?

How will metadata be generated (automatically, manually, or
both)?
How will metadata be stored and managed?
What naming conventions/schemes will be used?
Do you use any data dictionaries/taxonomies/ontologies?

Will provenance or lineage of some or all data be documented
(e.g., what process executed on some set of source data resulted
in the creation of some output data)?


                                                                   2
The policies for access and sharing including provisions for appropriate protection of privacy, confidentiality, security,
intellectual property, or other rights or requirements

Are there any data with specific security issues?
How will security be enforced in the system?

What data will be shared?
When will data be shared?

To whom will data be made available?
What data will be made available to which stakeholders?

Does this work involve human subjects, and if so what
    policies and procedures must be adhered to?
Are there any data with privacy issues?
How will any such privacy requirements be enforced?

Is any of the data owned by someone else?
What are the conditions of use, sharing and dissemination?
Describe any other legal and/or regulatory constraints on
sharing and dissemination of data



The policies and provisions for re-use, re-distribution, and the production of derivatives

When will data be made available for sharing?
Are there any data embargoes, if so what?
When will the data be made public?

What restrictions are there on subsequent data use?
How will the data be made available?
What metadata will be generated to ensure the data is
accessible?

What is the policy on re-use of the data, citations, and
production of derivatives?


                                                                 3
The plans for archiving data, samples, and other research products, and for preservation of access to them

 Who is responsible for the stored data?
 Who is responsible for data backups?

 What digital and non-digital data will be stored?
 Where will the data be stored and backed up, what policies
 will be in place?
 What will be the access controls on data stored?
 What are the backup procedures for data generated?

 How will data be stored after the project has been completed?
 What mechanisms, policies, agreements, etc. will be used to
 manage data after the project has been completed?

 What data will be archived?
 Where will data be archived?
 Who will manage and administer the archive?
 What meta-data will be required?
 What will be the access controls?
 What will be the retention and disposition policies?

 How long will each type of data be kept? And why?

 What is the archival lifecycle and retention policy for archived
 data?

 Who will be responsible for the data in the near-term
 following project completion?

 Who will be responsible for the data for long-term archiving
 (beyond the most active use of the data)?



This work is licensed under the Creative Commons Attribution--‐Noncommercial 3.0 Unported License. To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc/3.0/ .




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