Collaboration, scientific data discovery, use, and reuse.

This article came from the April/May 2013 issue of the Bulletin of the Association for Information Science and Technology.

Collaborative Annotation for Scientific Data Discovery and Reuse” by Kirk Borne

The enormous growth in scientific data repositories requires more meaningful indexing, classification and descriptive metadata in order to facilitate data discovery, reuse and understanding. Meaningful classification labels and metadata can be derived autonomously through machine intelligence or manually through human computation.

This issue also has many articles concerning altmetrics. Heather Piwowar has a great introduction to the special issue.

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