@inproceedings{burnett_harmonization_2017,
	address = {Memphis, Tennessee},
	title = {Harmonization of {Sensor} {Measurements} to {Support} {Health} {Research}},
	url = {http://prisms-study.org/publications/NB_NCUR_2017.pdf},
	abstract = {The Salt Lake Valley has three permanent Environmental Protection Agency (EPA) certified air quality monitoring stations that intake air samples and produce results of air quality pollutants in the proximity of the monitor station. Because these monitors only represent a small area of the 500-square-mile Salt Lake Valley, there are spatial gaps
when using these air qualities monitoring data for epidemiological studies. In addition to the monitoring stations, researchers as well as Salt Lake Valley residents are recording air quality measurements from their individual sensors. Systematic utilization of these vast amounts of air quality data to support translational exposomic studies necessitates
the development of a conceptual data model that harmonizes and stores air quality measurements from different sensors. A literature review using PubMed with the search criterion “Pediatric Asthma Sensor Studies’ was performed by the study team. A list of metadata elements were manually extracted from literature and a first draft of sensor
metadata specification was developed. Sample data from different sources was collected and used to evaluate the initial specification. Existing fields found in the data, but not present in the specification were added to the model. Air quality experts then reviewed the specification and modifications were made based on their inputs. The final product
is a specification that harmonizes and stores vast amounts of air quality data from different sensors. This model is being used in data integration platforms such as OpenFurther to support the study of effects of the environment (exposome) on health and well-being.},
	booktitle = {The {National} {Conference} {On} {Undergraduate} {Research} ({NCUR})},
	author = {Burnett, N},
	month = apr,
	year = {2017},
}

{"_id":"ZFoxseoGnqagoY54K","bibbaseid":"burnett-harmonizationofsensormeasurementstosupporthealthresearch-2017","author_short":["Burnett, N"],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","address":"Memphis, Tennessee","title":"Harmonization of Sensor Measurements to Support Health Research","url":"http://prisms-study.org/publications/NB_NCUR_2017.pdf","abstract":"The Salt Lake Valley has three permanent Environmental Protection Agency (EPA) certified air quality monitoring stations that intake air samples and produce results of air quality pollutants in the proximity of the monitor station. Because these monitors only represent a small area of the 500-square-mile Salt Lake Valley, there are spatial gaps when using these air qualities monitoring data for epidemiological studies. In addition to the monitoring stations, researchers as well as Salt Lake Valley residents are recording air quality measurements from their individual sensors. Systematic utilization of these vast amounts of air quality data to support translational exposomic studies necessitates the development of a conceptual data model that harmonizes and stores air quality measurements from different sensors. A literature review using PubMed with the search criterion “Pediatric Asthma Sensor Studies’ was performed by the study team. A list of metadata elements were manually extracted from literature and a first draft of sensor metadata specification was developed. Sample data from different sources was collected and used to evaluate the initial specification. Existing fields found in the data, but not present in the specification were added to the model. Air quality experts then reviewed the specification and modifications were made based on their inputs. The final product is a specification that harmonizes and stores vast amounts of air quality data from different sensors. This model is being used in data integration platforms such as OpenFurther to support the study of effects of the environment (exposome) on health and well-being.","booktitle":"The National Conference On Undergraduate Research (NCUR)","author":[{"propositions":[],"lastnames":["Burnett"],"firstnames":["N"],"suffixes":[]}],"month":"April","year":"2017","bibtex":"@inproceedings{burnett_harmonization_2017,\n\taddress = {Memphis, Tennessee},\n\ttitle = {Harmonization of {Sensor} {Measurements} to {Support} {Health} {Research}},\n\turl = {http://prisms-study.org/publications/NB_NCUR_2017.pdf},\n\tabstract = {The Salt Lake Valley has three permanent Environmental Protection Agency (EPA) certified air quality monitoring stations that intake air samples and produce results of air quality pollutants in the proximity of the monitor station. Because these monitors only represent a small area of the 500-square-mile Salt Lake Valley, there are spatial gaps\nwhen using these air qualities monitoring data for epidemiological studies. In addition to the monitoring stations, researchers as well as Salt Lake Valley residents are recording air quality measurements from their individual sensors. Systematic utilization of these vast amounts of air quality data to support translational exposomic studies necessitates\nthe development of a conceptual data model that harmonizes and stores air quality measurements from different sensors. A literature review using PubMed with the search criterion “Pediatric Asthma Sensor Studies’ was performed by the study team. A list of metadata elements were manually extracted from literature and a first draft of sensor\nmetadata specification was developed. Sample data from different sources was collected and used to evaluate the initial specification. Existing fields found in the data, but not present in the specification were added to the model. Air quality experts then reviewed the specification and modifications were made based on their inputs. The final product\nis a specification that harmonizes and stores vast amounts of air quality data from different sensors. This model is being used in data integration platforms such as OpenFurther to support the study of effects of the environment (exposome) on health and well-being.},\n\tbooktitle = {The {National} {Conference} {On} {Undergraduate} {Research} ({NCUR})},\n\tauthor = {Burnett, N},\n\tmonth = apr,\n\tyear = {2017},\n}\n\n","author_short":["Burnett, N"],"key":"burnett_harmonization_2017","id":"burnett_harmonization_2017","bibbaseid":"burnett-harmonizationofsensormeasurementstosupporthealthresearch-2017","role":"author","urls":{"Paper":"http://prisms-study.org/publications/NB_NCUR_2017.pdf"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://api.zotero.org/users/3649949/collections/52M3HD2M/items?key=kvw05jEWpV9zO4gNkD1KQFRV&format=bibtex&limit=100","dataSources":["qkN2F4hKQojRGQeTy","cR2bQCnuvgoCQwTEh","Zv8utRXNjhXZcJdZX","zguJ5LkMpKLhRDgWX","x94sDkjv6sHRisXm3","Xngq2WDk97aWqouA5","SbR97nY87cwp9QrPt"],"keywords":[],"search_terms":["harmonization","sensor","measurements","support","health","research","burnett"],"title":"Harmonization of Sensor Measurements to Support Health Research","year":2017}