vix.ing · top · new · best · stats

Observations Data Model 2: A community information model for spatially discrete Earth observations

2016/02/08 by Jeffery S. Horsburgh, A. K. Aufdenkampe, Emilio Mayorga +9 · 60 citations
Computer Science · Decision Sciences · Earth and Planetary Sciences · #Computer science #Data mining #Data modeling #Data science #Database #Domain (mathematical analysis) #ENCODE #Environmental Monitoring and Data Management #Identification (biology) #Implementation #Information model #Information retrieval #Interoperability #Observational study #Research Data Management Practices #Scientific Computing and Data Management #Software engineering #World Wide Web

paper · doi:10.1016/j.envsoft.2016.01.010

published in Environmental Modelling & Software 79, 55-74 (Elsevier BV)

openalex publication_date 2016/02/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

Integrated access to and analysis of data for cross-domain synthesis studies are hindered because common characteristics of observational data, including time, location, provenance, methods, and units are described differently within different information models, including physical implementations and exchange schema. We describe a new information model for spatially discrete Earth observations called the Observations Data Model Version 2 (ODM2) aimed at facilitating greater interoperability across scientific disciplines and domain cyberinfrastructures. ODM2 integrates concepts from ODM1 and other existing cyberinfrastructures to expand capacity to consistently describe, store, manage, and encode observational datasets for archival and transfer over the Internet. Compared to other systems, it accommodates a wider range of observational data derived from both sensors and specimens. We describe the identification of community information requirements for ODM2 and then present the core information model and demonstrate how it can be formally extended to accommodate a range of information requirements and use cases.

Citations

Cited by

Related