A framework for advancing independent air quality sensor measurements via transparent data generating process classification
Abstract We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications. We focus on differentiating independent sensor measurements (ISM) from other data products...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Climate and Atmospheric Science |
| Online Access: | https://doi.org/10.1038/s41612-025-01161-2 |
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| author | Sebastian Diez Thomas J. Bannan Miriam Chacón-Mateos Pete M. Edwards Valerio Ferracci Doğuşhan Kılıç Alastair C. Lewis Carl Malings Nicholas A. Martin Olalekan Popoola Colleen Rosales Sean Schmitz Philipp Schneider Erika von Schneidemesser |
| author_facet | Sebastian Diez Thomas J. Bannan Miriam Chacón-Mateos Pete M. Edwards Valerio Ferracci Doğuşhan Kılıç Alastair C. Lewis Carl Malings Nicholas A. Martin Olalekan Popoola Colleen Rosales Sean Schmitz Philipp Schneider Erika von Schneidemesser |
| author_sort | Sebastian Diez |
| collection | DOAJ |
| description | Abstract We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications. We focus on differentiating independent sensor measurements (ISM) from other data products, emphasizing transparency and traceability. Recommendations are provided for manufacturers, academia, and standardization bodies to adopt these definitions, fostering data product differentiation and incentivizing the development of more robust, reliable sensor hardware. |
| format | Article |
| id | doaj-art-2c5f201eb7b343d683f1ef143f6e010c |
| institution | Kabale University |
| issn | 2397-3722 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Climate and Atmospheric Science |
| spelling | doaj-art-2c5f201eb7b343d683f1ef143f6e010c2025-08-20T04:01:53ZengNature Portfolionpj Climate and Atmospheric Science2397-37222025-07-01811810.1038/s41612-025-01161-2A framework for advancing independent air quality sensor measurements via transparent data generating process classificationSebastian Diez0Thomas J. Bannan1Miriam Chacón-Mateos2Pete M. Edwards3Valerio Ferracci4Doğuşhan Kılıç5Alastair C. Lewis6Carl Malings7Nicholas A. Martin8Olalekan Popoola9Colleen Rosales10Sean Schmitz11Philipp Schneider12Erika von Schneidemesser13Centro de Investigación en Tecnologías para la Sociedad, Universidad del DesarrolloDepartment of Earth and Environmental Science, Centre for Atmospheric Science, University of ManchesterGerman Aerospace Center (DLR), Institute of Combustion TechnologyWolfson Atmospheric Chemistry Laboratories, University of YorkAir Quality and Aerosol Metrology Group, National Physical LaboratoryNational Centre for Atmospheric Science, University of ManchesterNational Centre for Atmospheric Science, University of YorkGESTAR II Cooperative Agreement, Morgan State UniversityAir Quality and Aerosol Metrology Group, National Physical LaboratoryYusuf Hamied Department of Chemistry, University of CambridgeOpenAQResearch, Institute for Sustainability at GFZNILU, P.O. Box 100Research, Institute for Sustainability at GFZAbstract We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications. We focus on differentiating independent sensor measurements (ISM) from other data products, emphasizing transparency and traceability. Recommendations are provided for manufacturers, academia, and standardization bodies to adopt these definitions, fostering data product differentiation and incentivizing the development of more robust, reliable sensor hardware.https://doi.org/10.1038/s41612-025-01161-2 |
| spellingShingle | Sebastian Diez Thomas J. Bannan Miriam Chacón-Mateos Pete M. Edwards Valerio Ferracci Doğuşhan Kılıç Alastair C. Lewis Carl Malings Nicholas A. Martin Olalekan Popoola Colleen Rosales Sean Schmitz Philipp Schneider Erika von Schneidemesser A framework for advancing independent air quality sensor measurements via transparent data generating process classification npj Climate and Atmospheric Science |
| title | A framework for advancing independent air quality sensor measurements via transparent data generating process classification |
| title_full | A framework for advancing independent air quality sensor measurements via transparent data generating process classification |
| title_fullStr | A framework for advancing independent air quality sensor measurements via transparent data generating process classification |
| title_full_unstemmed | A framework for advancing independent air quality sensor measurements via transparent data generating process classification |
| title_short | A framework for advancing independent air quality sensor measurements via transparent data generating process classification |
| title_sort | framework for advancing independent air quality sensor measurements via transparent data generating process classification |
| url | https://doi.org/10.1038/s41612-025-01161-2 |
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