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Title Sensor and sensor data management best practices released
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Rapid advances and decreasing costs in sensor technology, wireless communication, data processing speed, and data storage capacity have enabled widespread deployment of automated environmental sensing systems. Basic environmental processes can be monitored continuously in habitats ranging from very remote to urban providing information in unprecedented temporal and spatial resolution. Although research questions that may be answered based on these data are very diverse (Porter et al. 2009), the design process, establishment and maintenance of most environmental sensor systems, and resulting data handling have many commonalities.

Contributors Corinna Gries, Donald L. Henshaw, Renee F. Brown, Richard Cary, Jason Downing, Christopher Jones, Adam Kennedy, Christine Laney, Mary Martin, Jennifer Morse, John Porter, Jordan Read, Andrew Rettig, Wade M. Sheldon, Scotty Strachan and Branko Zdravkovic

Gries, C., Henshaw, D.L., Brown, R.F., Cary, R., Downing, J., Jones, C., Kennedy, A., Laney, C., Martin, M., Morse, J., Porter, J., Read, J., Rettig, A., Sheldon, W.M. Jr., Strachan, S. and Zdravkovic, B. 2014. Sensor and sensor data management best practices released. In: LTER Databits - Information Management Newsletter of the Long Term Ecological Research Network: Spring 2014. LTER Network, Albuquerque, NM.

Key Words best practices, data, IT, LTER-IMC, management, networking, sensor
File Date 2014
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This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.