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Levin Development of a Database to Manage and Analyze Publications
Transcript of Levin Development of a Database to Manage and Analyze Publications
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Development of a Database to Manage and Analyze Publications
on the Microbial Ecology of Indoor Environments
Hal LevinBuilding Ecology Research Group
Janet MacherCalifornia Department of Public Health
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What environmental factors affect the indoor microbial ecology?
Where is the data
How is the information recorded
Can the information be extracted for analysis
and comparison
Who would contribute to a publicly available
database or an information-sharing repository
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Database Design (Farr and Farr, 2004)
Specimen database
• Document the occurrence of an organism
• In a particular place
• At a given time
• Design from the top down
• Purpose
• Subjects
• Specific data bits
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Mendeley — Microbiology of the Built Environment
Bibliographic database (545 papers, 48 members)
• Journal citations
• Abstracts
• Related research
• Searchable
• www.mendeley.com/groups/844031/microbiology-of-the-built-environment/
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Indoor
microbiome
Occupants
Building interior
Furnishings
Activities
Building envelope
VentilationOutdoors
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Database Design
Tables
• Citation
• Building type
• Occupants
• Environmental samples
• Sample analyses
•Microorganisms
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Database Design (Farr and Farr, 2004)
Fields
• Describe the subject
• Comprised of the smallest logical unit
• Evolve as new pieces of information are
identified
• Consistent format and content
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Database Design (Farr and Farr, 2004)
Tables
• Only fields that pertain to the same subject
• Avoid fields most often blank
• Duplicate data only as necessary to
establish relationships
• Include “lookup” or “authority” tables
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Extraction of Information
Occupant demographics
• Number
• Gender
• Age
• Time / activity patterns
• Include animals and plants
http://phil.cdc.gov/phil/details.asp
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Extraction of Information(Mendeley database)
Buildings (N = 95)
• Type
• 50 (53%) Residences
• 18 (8%) Offices
• Schools, commercial, transportation
• Location (outdoor environment)
• Time of year
• Age
• Ventilation
• Nutrients
• Water
• Temperature
• pH
www.epa.gov/iaq/iaqhouse.html
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Extraction of Information
Environmental samples
• Type
• 59 (62%) Air
• 27 (28%) Surface (wipe or house dust)
• Locations
• Number
• Frequency
www.epa.gov/iaq/base/
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Extraction of Information
Sample analysis
• Type
• 64 (67%) Culture
• 25 (26%) PCR
• How much detail needed?
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Extraction of Information
Microorganisms
• Identification
• General (group)
• Genus
• Species
• …
• Quantification
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Descriptors of Buildings, Occupants, Environments
U.S. Environmental Protection Agency
• Building Assessment Survey and Evaluation (BASE)
• 100, randomly selected office buildings
• Building and ventilation system characteristics
• Building occupant demographics, symptoms, and perceptions
• Environmental and comfort measurements
• IAQ Building Education and Assessment Model (I-BEAM)
• Computer software for indoor air quality in commercial buildings
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Program Considerations
Data format
• Text
• Digit
Transferability
• Import and export
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Data entry
• Read and highlight information
• Enter into tables
• Consistent terms
• Home, house, apartment, condo = Residence
• Check / audit
Sorting and searching
Ideally, electronic publications of the future will provide data in formats that can be reformatted for multiple uses
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Example — Dampness and Mold
Inspector-reported indicators
• Visible water damage or mold
• Musty odor
• Moisture meter measurement
• Rotting wood
• Peeling paint
• Leaks
Air samples
• Time of year
• Location
Fungi
• Types
• Concentrations
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Acknowledgements
Sloan Foundation Indoor Environment Program: grant to UC Davis for microbenet project – www.microbe.net
Janet Macher for advice and preparation of the abstract and slides
Any of you who can send references to papers of interest, comments on our collection on Mendeley