|
This is version 142.
It is not the current version, and thus it cannot be edited.
[Back to current version]
[Restore this version]
- Where: Room 201 on the second floor of NCEAS, Santa Barbara, California (805-892-2500)
- Hotel: Holiday Inn, Santa Barbara
- From the airport, you may book SuperRide Airport Shuttle (805-683-9636) or take a cab. A cab is $30-$35 one way (I think). If you have any problems, call Josh on 805-452-7017.
- When: April Wednesday 4 to Friday 6, 2007 -- Arriving on Tuesday 3
- Reimbursements: http://lternet-183.lternet.edu/doc_archive/forms/
 , forms will be given out on the first day.
- The first goal of the meeting will be to extract terms and concepts from a corpus of data sets ranging in their similarities and differences.
- An OBOE extension ontology will be built from these terms and concepts
- The second goal will be to annotate the corpus of data sets using the new extension ontology.
- We will then hopefully demonstrate (or at least discuss) the process of discoverying and integrating these data sets based on their annotations with extension ontology terms.
| | Wednesday | Thursday | Friday |
|---|
| 8:00 | Coffee | Coffee | Coffee |
| 8:15 | Meeting agenda and goals
Select dataset corpus | continued | Discussion about directions/responsibilities before end of SEEK project |
| 10:15 | Break | Break | Break |
| 10:30 | Current OBOE status
Current extension ontologies (units, entities, characteristics)
Top-level organization for extensions | continued | Discussion about publishing KR work |
| 12:30 | Lunch | Lunch | Lunch |
| 1:30 | Select datasets to annotate
Identify terms and concepts
Refine extensions
Define annotation | continued | Departures |
| 3:15 | Break | Break | |
| 3:30 | continued | Review of data set annotations and discussion about leveraging annotations for data discovery and integration | |
| 5:00 | Finish | Finish | |
- Comment (JSM): We probably want to cut down on the number of data sets in the corpus. I think that ideally we should attempt to cover as many different data set types as possible, but also have several examples of similar/overlapping data sets which can be used for testing/discussion of semantic utilies (e.g., data merging).
| Data/Metadata | Status | Publisher | Comment |
|---|
| PLT-GCEM-0511a | Y | GCE | Plant Ecology: Biomass from Shoot Height and Flowering Status |
| PLT-GCEM-0511b | Y | GCE | Plant Ecology: Biomass from Shoot Height and Flowering Status (w/ Biomass) |
| PLT-GCED-0409 | Y | GCE | Plant Ecology: Community Response to Fertilization |
| PLT-GCET-0608 | Y | GCE | Plant Ecology: Plant Richness Survey |
| INS-GCEM-0511 | Y | GCE | Terrestrial Insect Ecology: Grasshopper Abundance and Species Diversity |
| INV-GCEM-0511 | Y | GCE | Aquatic Invertebrate Ecology: Crab Abundance based on Crab Hole Counts |
| INV-GCEM-0501a1 | Y | GCE | Aquatic Invertebrate Ecology: Infaunal and Epifaunal Mollusc Abundance |
| INV-GCEM-0501a2 | Y | GCE | Aquatic Invertebrate Ecology: Infaunal and Epifaunal Mollusc Size Distributions |
| FNG-GCEM-0401 | H | GCE | Fungal Productivity: Ergosterol Content and Ascospore Release Rates |
| BCT-GCEM-0511a2 | H | GCE | Bacterial Productivity: Surface Water Bacterial Productivity |
| PHP-GCEM-0511a | H | GCE | Phytoplankton Productivity: Surface Water Phytoplankton Productivity |
| ALG-GCED-0304a | Y | GCE | Algal Productivity: Benthic Chlorophyll Concentrations and Gross Oxygenic Photosynthesis Rates |
| ALG-GCED-0304c | H | GCE | Algal Productivity: Benthic Chlorophyll, Density, Porosity, Organic Content Concentrations, and Gross Oxygenic Photosynthesis Rates |
| MET-GCEM-0508a | Y | GCE | Meteorology: Annual Summaries of Daily Air Temperature and Precipitation |
| HYD-GCES-0508a | Y | GCE | Hydrography: Annual Summaries of Daily Averaged River Discharge |
| HYD-GCES-0508b | Y | GCE | Hydrography: Monthly Mean Water Levels |
| PHY-GCEM-0612a | Y | GCE | Continuous Salinity, Temperature and Depth |
| PHY-GCEM-0406a1 | H | GCE | Physical Oceanography: Bin-Averaged CTD Profiles |
| PHY-GCEM-0406a2 | H | GCE | Physical Oceanography: CTD, PAR, Oxygen, and Chlorophyll Profiles |
| GEL-GCEM-0508a | H | GCE | Geology: Soil Characteristics |
| GEL-GCEM-0508b | H | GCE | Geology: Soil Surface Elevation |
| GEL-GCEM-0508c | Y | GCE | Geology: Soil Accretion |
| ORG-GCEM-0511a | H | GCE | Organic Matter/Decomposition: Surface Water Dissolved Organic Carbon Concentrations |
| ORG-GCEM-0508a | Y | GCE | Organic Matter/Decomposition: Soil temperature and respiration |
| ORG-GCEM-0508b | H | GCE | Organic Matter/Decomposition: Rates of Decompisition and Root In-Growth |
| ORG-GCEM-0101 | Y | GCE | Organic Matter/Decomposition: Ash-Free Dry Weight Analysis for Soil Samples |
| CHM-GCED-0303a | Y | GCE | Chemistry: Surface Water Samples for Total Dissolved Inorganic Carbon, Total Alkalinity, and pH |
| POR-GCED-0210 | H | GCE | Pore-water Chemistry: Porewater Nutrients, Dissolved Organics, Redox Species, and Gasses in Estuarine Intertidal Sediments |
| NUT-GCEM-0210 | Y | GCE | General Nutrient Chemistry: Water Quality Monitoring |
| NUT-GCEM-0206 | H | GCE | General Nutrient Chemistry: Water Column Particulate Carbon and Nitrogen Concentrations |
| |
|---|
knb-lter-sbc.18.3|Y|SBC|Abundance and size of giant kelp
knb-lter-sbc.15.2|Y|SBC|Kelp Forest Community Dynamics monitoring algae and sessile invertebrate cover data
knb-lter-sbc.17.5|Y|SBC|Kelp Forest Community Dynamics monitoring, fish count data from 40 meter transects
knb-lter-sbc.17.5|Y|SBC|Kelp Forest Community Dynamics monitoring, fish count data from 40 meter transects
knb-lter-sbc.19.2|Y|SBC|Kelp Forest Community Dynamics, monitoring small or cryptic invertebrate and algae counts in 1 meter-square quadrats
knb-lter-sbc.14.5|Y|SBC|Time series of giant kelp biomass along the coasts of California and Baja, Mexico
Notes:
- The majority of types of GCE Web-accessible datasets are represented above
- Might consider using "derived" data from Worm et al study (Impacts of Biodiversity Loss on Ocean Ecosystem Services, Science, Nov 3, 2006); see here for supporting material containing data and references.
- A simple tool has been built to record the annotation of data sets during the meeting. The tool can be found here, but will not be operating when the temporary server is sleeping.
- Shawn Bowers, UC Davis
- Serguei Krivov, UV
- Josh Madin, UC Santa Barbara
- Deana Pennington, Univ. of New Mexico
- Mark Schildhauer, UC Santa Barbara
Attachments:
|
