Help us Classify Research Articles for Usage-Based Discovery!

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Usage-based Discovery is powered by a database of Dataset-Usage relationships, where "usage" can be an Application or a Research Article.

These relationships can be difficult and tedious to locate. Fortunately, several of NASA's Distributed Active Archive Centers have maintained curated collections of dataset usage in research articles, giving us something to start with, more than 7000 articles(!)

HOWEVER, we need to classify these articles into broad research topics to provide the end user of Usage Based Discovery with a way to browse the many articles. We have provided a Google Sheet to crowd-source classifications from the community, which will

  1. help populate the database
  2. serve as labels for an automated machine learning classifier

Instructions are simple:

  1. Email or to get the URL of the Classification Worksheet, and click on the ClassifyThis tab.
  2. Click on the Article DOI URL to go to the article to be classified
  3. Read the title and the abstract and use the pulldowns in the topic- columns to classify it into one to five categories. (You don't need to fill all five.)
  4. In some cases, you may want to dive into the body of the paper, which is fine (though experience shows most important topics are found in title and abstract.)
  5. If you hit a paywall: try clicking the Google Scholar link and look on the right side of the page for possible locations where authors have self-archive at their institutions or places like ResearchGate.
  6. If you want to participate in the leaderboard (coming soon), add your ORCID in the ORCID column.

Go ahead, try a couple, it's actually kind No, really! Some of the papers you run across are quite interesting...