Constructing a Cross-Domain Resource Inventory: Key Components and Results of the EarthCube CINERGI Project.

Abstract:

While many geoscience-related repositories and data discovery portals exist, finding information about available resources remains a pervasive problem, especially when searching across multiple domains and catalogs. Inconsistent and incomplete metadata descriptions, disparate access protocols and semantic differences across domains, and troves of unstructured or poorly structured information which is hard to discover and use are major hindrances toward discovery, while metadata compilation and curation remain manual and time-consuming. We report on methodology, main results and lessons learned from an ongoing effort to develop a geoscience-wide catalog of information resources, with consistent metadata descriptions, traceable provenance, and automated metadata enhancement. Developing such a catalog is the central goal of CINERGI (Community Inventory of EarthCube Resources for Geoscience Interoperability), an EarthCube building block project (earthcube.org/group/cinergi). The key novel technical contributions of the projects include: a) development of a metadata enhancement pipeline and a set of document enhancers to automatically improve various aspects of metadata descriptions, including keyword assignment and definition of spatial extents; b) Community Resource Viewers: online applications for crowdsourcing community resource registry development, curation and search, and channeling metadata to the unified CINERGI inventory, c) metadata provenance, validation and annotation services, d) user interfaces for advanced resource discovery; and e) geoscience-wide ontology and machine learning to support automated semantic tagging and faceted search across domains. We demonstrate these CINERGI components in three types of user scenarios: (1) improving existing metadata descriptions maintained by government and academic data facilities, (2) supporting work of several EarthCube Research Coordination Network projects in assembling information resources for their domains, and (3) enhancing the inventory and the underlying ontology to address several complicated data discovery use cases in hydrology, geochemistry, sedimentology, and critical zone science.

Support from the US National Science Foundation under award ICER-1343816 is gratefully acknowledged.