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October 2020 Data Science Training for Arctic Researchers

The Arctic Data Center provides training in data science and data management. These are critical skills for the stewardship of data, software, and many other research products that are preserved at the Arctic Data Center. A goal of this center is to advance data archiving and promote reproducible science and data reuse.

A 5-day workshop, to be held in Santa Barbara, CA, Monday, October 19th – Friday, October 23rd, 2020 will provide researchers with an overview of best data management practices, data science tools and concrete steps and methods for more easily documenting and uploading their data to the Arctic Data Center.

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Permafrost Discovery Gateway Coming into Play

This innovative, and online scientific gateway will make information of changing permafrost conditions throughout the Arctic available by providing access to high resolution satellite data products and new visualization tools that will further enable exploration and discovery for researchers, educators, and the public at large.

This project, an initiative of NSF’s Navigating the New Arctic, is an illustrative effort of collaboration among researchers from the University of Alaska, Fairbanks, the Arctic Data Center, the Alaska Native Tribal Health Consortium, the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, the University of Illinois, the University of Connecticut, Ohio State University and NASA.

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  • Meet Arctic Researchers who Attended our October 2019 Data Science Training February 6, 2020 - The Arctic Data Center provides hands-on training for Arctic researchers who would like to learn more about open data. Who attends the Arctic Data Center Training? We’ve hosted scientists from around the world, panning numerous Arctic research disciplines. Here, we highlight and expand on several of the researchers that were in attendance at the Arctic Data Center Training in October 2019 and the role they play in Arctic research. Dr. Timothy Pasch is a dual US-Canadian citizen and an Associate Professor of Communication at the University of North Dakota. He is a fluent French and Japanese speaker and for nearly… ... Read more »

Features of the NSF Arctic Data Center


Fast, online data set submission down to the detail you need

Upload software, scientific analysis code, and data in any format.

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View usage statistics of your data and a summary of your contributions


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Mint DOIs for your data sets to use in publications and across the web


Once data have been submitted to the Arctic Data Center, our metadata staff will review and provide suggestions for improvement, and, once everything is set, we will make the data publicly accessible and publish it with a DOI. This will allow you and other researchers to cite the data set directly in NSF reports, publications, and other venues. The DOI is registered with DataCite using the EZID service, and will be discoverable through multiple data citation networks, including DataONE and others.

Fast, easy discovery with spatial tools


Where is the ACADIS Gateway?


As of March 28, 2016, the NSF Arctic Data Center will serve as the current repository for NSF-funded Arctic data. The ACADIS Gateway is no longer accepting data submissions. All data and metadata in the ACADIS system have been transferred to the NSF Arctic Data Center system. There is no need for you to resubmit existing data.

Former ACADIS Gateway Users

If you are a current account holder in ACADIS and have an ORCID identifier, or have just created one, you will be able to sign in to the NSF Arctic Data Center and submit data.

Steps to access your data:

1. Create an ORCID identifier (or retrieve your existing ORCID identifier if you already have one)

2. Email support@arcticdata.io and provide your ACADIS account name and your ORCID identifier.

3. We’ll do the rest. We will connect the two accounts so that all your data are available to you through the ORCID sign in process. We hope to make this process as fast as possible.


ORCID identifiers enable researchers to cross link across different types of research products (data, publications etc.) to create unique profiles showcasing their work. Data are valuable research products and we believe researchers should get credit for publication of data sets. By integrating ORCIDs with the NSF Arctic Data Center, researchers will be more able to showcase their work and receive credit.