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National Aeronautics and Space Administration

NASA's Arctic-Boreal Vulnerability Experiment


Project Data Management Plan Requirements

Referenced on page A.4-13 in NASA Research Announcement for Terrestrial Ecology:  Airborne Campaign For ABoVE NNH16ZDA001N-TE

NASA-funded projects for ABoVE each have a Data Management Plan (DMP) to address the dissemination and sharing of research results.

The DMP is a living document, with periodic (~annual) updates to the status and schedule for data set production. Additional information about data management is available at the ORNL DAAC website.

The DMP for NASA-funded ABoVE investigators covers the following topics:

1. Information about the data

  • Describe the data generated in the proposed research.
  • If you will use existing data, describe the data and how it will be obtained.
  • What data will be requested from the ABoVE project and from other ABoVE investigators?  Include estimates of the type and amount of data to be requested and the desired time of delivery.   
  • Planned/desired data collection protocols (may reference relevant sections of Scientific/Technical plan, if applicable).

2. Description of data

  • In what formats will the data be saved? Roughly how many data files will be compiled and what is the expected volume?
  • How will the data be processed? (Software used, Algorithms, Workflows). 
  • Describe how data quality will be ensured.

3. Metadata content and format

  • Describe the metadata used to document the data so that others can readily use the data. 
  • How will the metadata be created and in what format or standard?

4. Compliance with ABoVE Policies for access, sharing, and re-use

  • Describe the data sharing planned during and after the ABoVE project.
  • Are there any ethical, privacy, intellectual property, and copyright issues for the data set?
  • What is the schedule for delivery of data and related metadata to the ABoVE project?  Early delivery of products useful for ABoVE synthesis activities is encouraged and should be noted on the schedule.

5. Long-term storage and archival

  • Which of the data generated will become mature enough to submit to a long-term archive for sharing with the broader scientific community?
  • What steps need to be taken to prepare the data and documentation for the archive? Who will be responsible for preparing the data for the archive?  When will the data be submitted to the archive?