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authoredMar 25, 2024··
Merge pull request #12 from angiegarciaa/patch-5
Update adc-intro.qmd
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‎sections/adc-intro.qmd

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![](../images/adc-courses-fundamentals.png)
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![](../images/Fundamentals Training w_ ADC Logo.png)
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We’re best known in the research community as a data archive – researchers upload their data to preserve it for the future and make it available for re-use. This isn’t the end of that data’s life, though. These data can then be downloaded for different analyses or synthesis projects. In addition to being a data discovery portal, we also offer top-notch tools, support services, and training opportunities. We also provide data rescue services.
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NSF has long had a commitment to data reuse and sharing. Since our start in 2016, we’ve grown substantially – from that original 4 TB of data from ACADIS to now over 119.6 TB. In 2021 alone, we saw 16% growth in dataset count, and about 30% growth in data volume. This increase has come from advances in tools – both ours and of the scientific community, plus active community outreach and a strong culture of data preservation from NSF and from researchers. We plan to add more storage capacity in the coming months, as researchers are coming to us with datasets in the terabytes, and we’re excited to preserve these research products in our archive. We’re projecting our growth to be around several hundred TB this year, which has a big impact on processing time. Give us a heads up if you’re planning on having larger submissions so that we can work with you and be prepared for a large influx of data.
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The data that we have in the Arctic Data Center comes from a wide variety of disciplines. These different programs within NSF all have different focuses – the Arctic Observing Network supports scientific and community-based observations of biodiversity, ecosystems, human societies, land, ice, marine and freshwater systems, and the atmosphere as well as their social, natural, and/or physical environments, so that encompasses a lot right there in just that one program. We’re also working on a way right now to classify the datasets by discipline, so keep an eye out for that coming soon.
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