Come Find the Data You Need!
Grow your skills and your data resources in the Data Discovery Science Competition at DataDiscoveryStudio.org
Data Discovery Studio is built to help scientists find data. It hosts records for over 1.6 million datasets and resources from over 40 repositories, and continues to grow. Individuals, classes, and sci-tech teams can compete in two categories:
(1) Build a shareable Collection of datasets from existing resources, and add links to other datasets and resources in other repositories. We show you how!
(2) Modify existing Jupyter Notebooks or create your own to explore a data type of interest. Guidance provided!
Find details at bit.ly/ddscompete or jump in and start exploring at DataDiscoveryStudio.org – enter by May 1, 2019.
Please share broadly! We built this NSF-funded EarthCube gateway for you, want it to be useful, and eagerly welcome your feedback.
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Note to coral reef scientists: the site already includes over 16,600 records of coral reef datasets and resources – enough to begin a select collection of your own to share with collaborators, and point to more.
More Details:
Both competition categories contribute to science. (1) Collections will gather and tag resources, including datasets, with a focus you choose for research or community use. (2) Jupyter Notebooks will help develop workflows for datasets with a common theme or structure. Both areas will help address real science questions, share results and resources with others, and will help improve the gateway for future users. The competition is suitable for individual, team, or class entry.
DDStudio’s strongest holdings in datasets and resources are in earth, ocean, atmospheric, hydrologic, geologic, planetary, ecological, and other geoscience domains, broadly defined. Try out a favorite search term at datadiscoverystudio.org – if DDStudio doesn’t have what you need, you can contribute a new link, or point us to repositories to add. DDStudio goes beyond search: some datasets can be explored right on site using example Jupyter Notebooks (e.g., sensor data) – or develop and contribute your own Notebooks.
You can’t win if you don’t enter – show up and represent your domain! bit.ly/ddscompete
