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GOMO-Funded Project

Data management services to streamline data archival and improve FAIR compliance

Hubbard Glacier
Image Credit: NOAA Fisheries West Coast
  • Principal Investigator(s):
    • Kevin O'Brien
    • Florence Fetterer
    • Eugene Burger
    • Ann Windnagel
  • Project Institution(s): CICOES, PMEL, NSIDC
  • Fiscal Year: 2024
  • Award Period:
    09/01/2024 - 08/31/2027
This project received funding from the following: Inflation Recovery Act.

This project’s primary objective is to develop a new management system that will streamline data submission for all Arctic Research Program (ARP) primary investigators, while also ensuring FAIR compliance, ease of use and preservation of data collected. This project will engage in critical outreach to investigators to identify relevant data and metadata for submission. We will also work with partners to help curate metadata for selected ARP data to ensure it is FAIR compliant, meets ISO standards and clearly identifies the GOMO ARP as the funding entity. Ultimately, this project will reduce data fragmentation and ensure that users can find, access and understand the data they need.

Project Goals 

  1. Develop a pilot data submission system for GOMO ARP PIs/Groups to submit data: This development will include a user-friendly submission dashboard that will provide GOMO ARP PIs with a single location to which they can submit their data.
  2. Enhance, in cooperation with NSIDC, a metadata tool to capture complete metadata for datasets being submitted: The metadata tool, or editor, will be integrated with the submission dashboard and support full manual entry of metadata. To ensure a seamless inclusion of metadata with the data submission, the editor will support uploads of metadata from uniformly structured csv or excel files.
  3. Develop an automated archive workflow in close collaboration with NCEI to ensure that data submitted through the submissions system are efficiently archived: As part of the archive process, each submission will receive a Digital Object Identifier (DOI) as needed to ensure that data is citable.
  4. Develop a pipeline to integrate submitted datasets into ERDDAP services for dissemination: We will develop tutorials which show how both users can use the ERDDAP UI to access data, but also, and more usefully, demonstrate how one can access ERDDAP data through the use of shared Jupyter notebooks and other programmatic resources (Python scripts, etc)
  5. Develop a set of instructional material which will provide information on how to find and access the GOMO ARP data through the ERDDAP services: