U.S. Integrated Ocean Observing System (IOOS) Biological Data Training Workshop
- Intro Presentations
This workshop builds on the successful partnership between the U.S. Integrated Ocean Observing System (IOOS) and the Ocean Biogeographic Information System (OBIS-USA) in coordination with IOC’s OceanTeacher Global Academy, and OBIS international to develop a community of practice around the management and analysis of marine biological data. It will provide hands-on training in a computer lab setting and is intended to educate participants on the benefits, goals, technology and process to standardize biological data (and associated physical or chemical data) and make it accessible via OBIS and IOOS, including the MBON Portal. The workshop will also expose participants to OBIS, IOOS and MBON applications for using those data.
Venue: University of Washington eScience Institute, Seattle, Washington, USA
Dates: 8 - 9 February 2018
Link to workshop website: here
Link to event details and participants: here
- Introduction Session
- Applications of Biological Data
Applications of Biological Data
- OBIS Data, Taxonomic and Metadata Standards Session
OBIS Data, Taxonomic and Metadata Standards Session
In this training module you will learn more about the data standards and data formats according to Darwin Core practices, used to publish your data in OBIS. We will go into more depth in the application of the Darwin Core terms, how to standardize your data according to specific formats (for example, formats for date and time, geographic coordinates, etc). You will learn how to apply identifiers and use controlled vocabularies. For more information on this topic please also check the OBIS Manual: chapter Darwin Core and Data format. Regarding our metadata standards, please read the EML chapter in the OBIS manual.
Please read the DwC lessons, as well as the EML chapter, and then proceed to each Quiz.
- Data Wrangling Session
- Data Access, Visualization and Publication Session
Data Access, Visualization and Publication Session
- Useful links
Data quality control tools
- Topic 7
- Topic 8
- Topic 9
- Topic 10