An exciting new update to the Arctic Data Center has just been released – researchers can now create a portal allowing related data from across the Arctic Data Center to be viewable in the same place. The ability to group related datasets is helpful for researchers working across a particular taxon or region, so we… Read more »
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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.
Arctic Data Center is Core Trust Seal certified
The Arctic Data Center is excited to announce that we are officially Core Trust Seal certified! Our established data preservation practices and infrastructure are now endorsed by an international, community-based non-profit organization. CoreTrustSeal certification involves meeting 16 different requirements, which are intended to ensure the reliability and durability of the repository itself so that the data… Read more »
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 »
Call for Abstracts: Third Polar Data Forum (PDF III)
The Third Polar Data Forum (PDF III) will be hosted by the Finnish Meteorological Institute at thair Dynamicum campus in Helsinki from November 18th to 22nd, 2019. PDF III will be a two day conference style meeting in support of information exchange, with the remainder of the week using a “hackathon” approach that will build on… Read more »
2019 Arctic Data Center Data Science Trainings
The Arctic Data Center is hosting a data science training funded by the National Science Foundation from October 7-11, 2019. This 5-day training provides Arctic researchers with an overview of best data management practices, data science tools, reproducible data analysis in R and Github, and concrete steps and methods for more easily documenting and uploading… Read more »