There's tons of great data out there, ontologies help you understand it

Clark, Jeanette

Wednesday, August 5, 2020

Jeanette Clark, NCEAS, Arctic Data Center, University of California, Santa Barbara, Steven Chong, National Center for Ecological Analysis and Synthesis, Matthew B. Jones, Univ, Santa Barbara, CA, Bryce Mecum, National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Margaret O'Brien, Marine Science Institute, University of California, Santa Barbara, Santa Barbara, CA and Mark Schildhauer, National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, CA

Reproducibility and synthesis of scientific insights depend on researchers having access to other researchers’ data. Preservation enables researchers to potentially access relevant information, however, data discovery and interpretation remain a major hurdle. Here we demonstrate how the NSF Arctic Data Center (arcticdata.io) research data repository is extending its metadata services by adopting essential Semantic Web technologies (such as formal concept vocabularies) to create a more transparent, interoperable, and re-usable scientific data commons. Arctic Data Center practices can be adopted by other repositories because semantic annotation in general is not limited to a specific metadata language.

INS 18 Abstract - There's tons of great data out there, ontologies help you understand it