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NEON sponsored workshop
There is a wealth of biodiversity and environmental data that can provide the basis for addressing global scale questions of societal concern. However, our ability to access and integrate this data is hampered by the lack of standardized languages and systems to make this information accessible through the Internet. New tools (e.g. ontologies, standards, integration tools, unique identifiers) are being developed that will move this process closer to establishing a framework for linked open data, but these tools are still nascent and require efforts in the biodiversity and environmental realm to bring to fruition, as has occurred in other domains (e.g. biomedicine). With the right data modeling and tools, data assembly for ecological analysis purposes could be greatly simplified. We propose to bring together ontology experts, informaticians, and data producers working across multiple projects and knowledge domains to tackle the challenge of providing consistently described and formatted data for immediate application in ecological analysis. This working group will first work together to model phenology data products from continental-scale efforts (e.g. USGS, NEON and others) focusing on ways to assure linkability and discoverability. The group will then prototype development of a linked open data framework that vastly decreases the time needed to assemble heterogeneous data for use in ecological analyses at varying spatial scales.
- Rob Guralnick; UF; scientific questions, analyses, ontologies
- Ramona Walls; iPlant; ontologies, mappings, HPC workflows
- John Deck; UC Berkeley; mappings, triple store/database, data queries
- Ellen Denny; NPN; NPN metadata, crossworks, euro liaison
- Christine Laney; NEON; metadata, ontologies
- Lindsay Powers; The HDF Group; metadata, data management
- Alyssa Rosemartin; NPN; coordinating NPN side (has passed off to Ellen Denny)
Kjell Bolmgren -Pan European Phenology Network
John Deck - U.C. Berkeley
Ellen Denny - NPN
Sarah Elmendorf - NEON
Katie Jones - NEON
Christine Laney - NEON
Amanda Gallinat - Boston University
Rob Guralnick - U. of Florida
Brian W. Miller - North Central Climate Science Center
Jeff Morisette - North Central Climate Science Center
Lindsay Powers - The HDF Group
Andrew Richardson - Harvard U.
Katelin Stanley - Florida State U.
Kaitlin Stack-Whitney - U. Wisconson Madison
Ramona Walls - iPlant/U. of Arizona
Jenn Yost - Cal Polytechnic U./Humbolt Herbarium
Austin Mast
Mark Schildhauer
Cyrille Violle
Francisco Bonet
James Macklin
Joel Sachs
- First version of Plant Phenology Ontology
- Prototype datasets, represented as RDF triples and placed in a publically available triplestore hosted by the iPlant Collaborative
- Prototype semantically enabled phenology and trait datastore that greatly simplifies the ability to query and deliver model-ready data to data consumers.
- Publication for the ontology and ontology-based dataset
- ? Publication for analysis
- A plug-and-play HPC workflow that can run on different resources. (Docker?)
- Follow up at iDigBio standards workshop in March