OD34A:
Creating Data Synchronicity Across Ocean Microbiome Research I Posters

Session ID#: 84723

Session Description:
The vast majority of environmental microbiology data are collected by individual researchers funded to answer discrete, well-defined science questions. Experiments are rigorously designed, relevant data are collected to address the proposed questions, and samples are processed and analyzed by students and postdocs for targeted publications. Recent advancements in data science, computation, and data management best practices have enabled our community to start asking more of these data. The goal of this session is to kick-off a community discussion around how to improve meta-analyses of diverse data types, which are often limited by data discovery and access, interoperability of data models, data re-usability, and data compatibility. We welcome any transdisciplinary work that highlights how data, especially projects that inform our understanding of the Ocean Microbiome, have been used to reach beyond their originally intended purposes. Presentations on applying FAIR data principles, effective use of ontologies, and metadata curation processes are encouraged.
Co-Sponsor(s):
  • ME - Marine Ecology and Biodiversity
  • MM - Microbiology and Molecular Ecology
  • OB - Ocean Biology and Biogeochemistry
Index Terms:

1912 Data management, preservation, rescue [INFORMATICS]
1936 Interoperability [INFORMATICS]
1946 Metadata [INFORMATICS]
4840 Microbiology and microbial ecology [OCEANOGRAPHY: BIOLOGICAL]
Primary Chair:  Elisha M Wood-Charlson, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Co-Chair:  Bonnie L Hurwitz, University of Arizona, Agricultural & Biosystems Engineering, Tucson, AZ, United States
Primary Liaison:  Elisha M Wood-Charlson, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Moderators:  Elisha M Wood-Charlson, Lawrence Berkeley National Laboratory, Berkeley, CA, United States and Bonnie L Hurwitz, University of Arizona, Agricultural & Biosystems Engineering, Tucson, AZ, United States
Student Paper Review Liaison:  Elisha M Wood-Charlson, Lawrence Berkeley National Laboratory, Berkeley, CA, United States

Abstracts Submitted to this Session:

 
OD34A-3436
High Throughput Culturing of Coral Associated Microorganisms (657043)
Natascha Varona1, Raquel Peixoto1,2, Alexander J Hallock3, Guillaume Jopsin1, Maria Villancio-Wolter3, David Coil1 and Jonathan Eisen4, (1)University of California, Davis, Genome Center, Davis, CA, United States, (2)UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil, (3)GALT Inc, San Carlos, CA, United States, (4)University of California, Davis, Department of Evolution and Ecology, Davis, CA, United States
 
OD34A-3437
Planet Microbe: An Ontology-Enriched Cyberinfrastructure System for FAIR Marine ‘Omics Data (656654)
Kai Blumberg1, Alise Ponsero2, Matthew D Bomhoff3, Elisha M Wood-Charlson4, Pier Luigi Buttigieg5 and Bonnie L Hurwitz2, (1)University of Arizona, Biosystems Engineering, Tucson, AZ, United States, (2)University of Arizona, Agricultural & Biosystems Engineering, Tucson, AZ, United States, (3)University of Arizona, Agricultural and Biosystems Engineering, Tucson, AZ, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (5)Alfred Wegener Institut, Helmholtz Zentrum fūr Polar- und Meeresforschung, HGF-MPG Joint Research Group for Deep Sea Ecology and Technology, Bremerhaven, Germany
 
OD34A-3439
State-of-the-art Labs Meet State-of-the-art FAIR Data Practices (Invited) (657967)
Benjamin J Tully, University of Southern California, Center for Dark Energy Biosphere Investigations, Los Angeles, CA, United States
 
OD34A-3440
Towards a FAIR-compliant ocean and environmental genome database (657631)
Sean Jungbluth1, Benjamin J Tully2, Adam P Arkin3 and Elisha M Wood-Charlson1, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of Southern California, Center for Dark Energy Biosphere Investigations, Los Angeles, CA, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, United States
See more of: Ocean Data Management