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Table 1 Classification of datasets for remote management system (RMS)

From: A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things

Classification of datasets Attributes and contents Administrators
Static data Names of the village, codes, geographic locations (latitude and longitude), basic hardware attributes, physical properties, and manufacturers, batch number, basic parameters in each township of 368 counties and 73 cities (prefectures) in 9 echinococcosis epidemic provinces (regions), etc National administrators
Optional data Hardware ID, information of PZQ baits Provincial/municipal/county administrators
Information of owner, village administrator, and dog; Village administrators
Baseline information of echinococcosis epidemic in 2012–2016; etc Provincial/municipal/county administrators
Real-time data Temperature and power information of smart collars and feeders; dog's location; information of deworming, reminder, alarm, video recording, and uploading, etc Updating by RMS automatically
Basic data such as dog faeces information children's information, Serum information, intermediate host information Township/village’s administrators
Test results of dog faeces, children's serum; ultrasound screening results; test results of the intermediate host, etc Provincial/municipal/county administrators
Matching the information of dogs, owners, smart collars or feeders, and township/village’ s administrators, etc Township/village administrators
Other inputting information and command to be executed and matched, e.g. adjusting the time, period and dosage of delivering PZQ baits, etc Provincial/municipal administrators
Inputting or activation of the information of administrator Provincial/municipal/county/township administrators