The Arctic Data Center, along with Arctic social scientific researchers Noor Johnson and Timothy Pasch, hosted a workshop to discuss data archival and re-use challenges and opportunities for Arctic social scientists. Learn more about what was discussed and what was brainstormed in this blog post.
Blog & News Items
Bringing Arctic Data into Undergraduate Classrooms
The guest blogger for today is Arctic Data Center Data Science Fellow, Sarah Erickson. Her project is all about bringing the Arctic to life in undergraduate classrooms all over the world using Arctic data. ***** We stand on the shoulders of giants and below us is a giant mountain of information. The Arctic Data Center… Read more »
Profile curated collections of data with portals on the Arctic Data Center
Create a custom, branded portal for your research topic or lab group that spans datasets in the Arctic Data Center – available for all users. Branded portals provide a convenient, readily customized way to communicate your science, your team, your data, and related data from within the Arctic Data Center.
Avoiding Data Risk: Strategies Protecting From Data Loss at the Arctic Data Center
The NSF Arctic Data Center, the primary data and software repository for the Arctic section of NSF Polar Programs, is now CoreTrustSeal certified. Our established data preservation practices and infrastructure are now endorsed by an international, community-based non-profit organization.
Meet Arctic Researchers who Attended our October 2019 Data Science Training
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… Read more »
Arctic Data Center at American Geophysical Union 2019!
Arctic Data Center team members will be attending the American Geophysical Union (AGU) 2019 Fall Meeting in San Francisco, CA, December 9-13, 2019. Come visit us at Booth #1332 in the Moscone Center Exhibit Hall (see map below) throughout the week, and attend the Data Help Desk and Coding Desk (Booth #1329 just next to our booth)… Read more »
Improving Information Retrieval: The Arctic Data Center Unveils New Semantic Search Product
Cross-posted from the ARCUS website Improving Search Across Concepts The Arctic Data Center is a repository for all National Science Foundation-funded Arctic research data. The wide range of Arctic research communities represented in the repository often leads to a lack of cohesion in semantics: how terminology is used and defined. To address this challenge, the… Read more »
Arctic Data Center’s Data Science Training – October 2019
In early October, the Arctic Data Center held its third Data Science Training program of 2019, hosting US-based Arctic researchers with research activities spanning pan-arctically across Alaska, Canada, and Siberia. Fifteen participants, across eleven institutions, and from a wide range of data privacy and open source experience levels, came together striving to support one another… Read more »
Data Questions? Data Help Desk has the Answers
Cross-posted from the ESA website ESA conference attendees brought many inquiries about data issues, needs, and planning strategies to the ESA/USSEE 2019 Data Help Desk. Representatives from seven data-intensive organizations (Table 1) shared their collective expertise and insights with more than 200 booth visitors. Collectively, we made an impressive presence of data organizations in the exhibition and… Read more »
Learning from the Hunters in Savoonga, with Dr. Henry Huntington
Highlight: “The hunters have a lot of valuable information to share, but often this information is overlooked or regarded as too difficult and time consuming to document. We’re helping show that’s not the case, that there are proven methods for documenting Indigenous knowledge efficiently and sharing that information,” – Dr. Henry Huntington. This dataset is… Read more »