The IARC Data Archive

Wikipedia link: Scientific Data Archive

The IARC Data Archive is a long-term digital storage facility, and a tier-4 member node of the NSF supported DataONE federation of archives. Tier-4 status means that IARC replicates content for other member nodes, in exchange for our content being replicated at member nodes outside of Alaska.
The IARC Data Archive is a Virtual Machine running a customized version of GeoNetwork as the front-end.

To archive your data, contact us for an account, and then follow the instructions in the HOWTO videos below:

Archive HOWTO Videos

Add a thumbnail image to metadata
Change password
Downloading data
Duplicate a metadata record
Create a metadata record
What is the link to my metadata?
Setting permissions for data and metadata
Searching metadata

DataONE has some guidlines for data management planning here, which we can help you customize for use of the IARC Data Archive.


IARC Data Center

The International Arctic Research Center (IARC) Data Center hosts the IARC Data Archive, a long-term digital storage facility, and a tier-4 member node of the NSF supported DataONE federation of archives. It serves as a hub for storage of Arctic climate and related data of various types, including routine in situ measurements, remote sensing data, computational model data, and products from special field programs. The Data Archive's holdings facilitate modeling and synthesis activities that foster improved understanding and prediction of climate change, as well as planning and adaptation to climate in Alaska and the Arctic.

The IARC Data Archive accepts data at, using the ISO 19115 metadata standard, and is fully searchable. Multiple copies of data and metadata are underpinned by 200 TB of disk, backed by 400 TB of LTO-5/6 tape. Offsite storage is provided by the Research Computing Systems group at UAF's Geophysical Institute.

Researcher - add text outlining:

  • Data Inventory - the type of data you will generate, i.e. time series, vector, raster, etc., and what file format(s).
  • Data and Metadata Standards - ISO 19115 for metadata recommended.
  • Data Use, Embargo, and Sharing Policies.
  • Data Management Life Cycle Plan - anything not covered above, such as data quality checking, curation criteria, publication plans, etc.

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