This document provides guidance on creating a Data Management Plan (DMP). It discusses the key elements that should be included in a DMP, such as the types of data that will be collected, metadata standards, data sharing and access policies, plans for reusing and redistributing data, and archiving data for long-term preservation. It also notes that costs for implementing the DMP may be included in the proposal budget and that the DMP will be reviewed as part of the NSF proposal process. Template codes for elements like variable names and labels that could be included in a DMP are also provided.

1. Writing a Data
Management Plan (DMP)
Sara Rutter, UHM Library
NREM 601/605 Spring 2016

4. CODEBOOK ELEMENT DESCRIPTION
Title page Provide a descriptive title
Data citation How should this data set be cited?
Bibliographic citation Is there an article associated?
Data collection methods Materials and methods
Variable name Number and name assigned to
each variable
Variable label Map to variable name
Missing data code Consistent symbol for missing
data
Code value Text description of code value
used, e.g. survivor=1
Value label Description of values input, e.g.
S=survivor

5. NSF Proposal Guide 11-1
 The Data Management Plan will be
reviewed as an integral part of the
proposal, coming under Intellectual Merit
or Broader Impacts or both, as
appropriate for the scientific community of
relevance.

6. NSF Proposal Guide 11-1
 Costs are allowable in accordance with
the applicable cost principles, and
necessary to implement the Data
Management Plan, such costs may be
included (typically on Line G2) of the
proposal budget, and justified in the
budget justification.

7. FIVEELEMENTSOFTHE
PLAN
1. Types of data, samples, software,
curriculum materials to be produced
2. Standards for data and metadata format
and content
3. Policies for access and sharing;
provisions for privacy, intellectual property
rights
4. Policies for re-use, redistribution and
production of derivatives.
5. Plans for archiving data and preserving
access to them.

8. Research data is defined as the recorded
factual material commonly accepted in
the scientific community as necessary to
validate research findings, …
This "recorded" material excludes
physical objects (e.g., laboratory
samples).
[OMB Circular A-110 36.d.2.i Property Standards;
Intangible property;]
University of Hawaii at Manoa Library
OMBCircularA-110
Types of Data

9. Standards & Metadata

10. Policies for Access
• Who can access your data?
• When can they access the data?
• How are they going to access the data?

11. CREATIVECOMMONSLICENSES
University of Hawaii at Manoa Library

12. Archiving
 Select an established repository

13. https://nosc.noaa.gov/EDMC/documents/Data_Sharing_Directive_v3.0.pdf

14. http://go.hawaii.edu/4L

15. NSF Guidance

16. DMPTOOLLOGINWITHYOURUHID
University of Hawaii at Manoa Library

17. GORTKlaatubaradanikto!
University of Hawaii at Manoa Library
Gort © copyright The Day The Earth Stood Still, Twentieth Century FOX, 1951.
Gort and Klaatu say, “Make a plan for
your data before data collection starts!”

18. Thank you!