Stamps, D. SarahGallagher, JamesPeckham, ScottSheehan, AnnePotter, NathanStoica, MariaNjinju, Emmanuel A.Fulker, DavidNeumiller, KodiEaston, Zachary M.White, Robin R.Fuka, Daniel R.2020-01-202020-01-202019-06-13http://hdl.handle.net/10919/96514Driven by data-rich use cases that span geodesy, geodynamics, seismology, and ecohydrology, the BALTO project enables brokered access to diverse geoscience data, including data that have been collected/organized by individual scientists in novel or unusual forms, also known as “long-tail” datasets. In BALTO, “brokering” means Web services that match diverse data-usage needs with heterogeneous types of source-data. This matching addresses form and semantics, which includes protocols, data structures, encodings, units of measure, variable names, and sampling meshes. The BALTO broker employs an extensible hub-and-spoke architecture: its hub will combine well-established, open-source, data-as-service software (from OPeNDAP) with the Geoscience Standard Names (GSN) to establish canonical representations for brokered datasets; each spoke—called an accessor—comprises (source-specific) data-access software along with metadata mappings that yield GSN-compliant variable names.In CopyrightBrokered Alignment of Long-Tailed Observations (BALTO) Applications in GeosciencePoster2020-01-20Fuka, Daniel [0000-0002-4468-2248]