# Establishing a Generic Geographic Information Collection Platform for Heterogeneous Data
## 4 Discussion  
Our platform meets common and specific field collection needs, reducing the difficulty for field workers. The collection software enables field collectors and verifiers to record on-site geographic information efficiently, even in complex environments like offline conditions. The various components of the collection software enable easy collection of data types such as images, videos, and audio. By using selection boxes, grouping scripts, value scripts,  
Figure 8: (**a**) Spatial element collection interface. The gray area is the work area of the collectors. (**b**) Crop cultivation attribute collection interface for rice. (**c**) Crop cultivation attribute collection interface for potato. (**d**) Livestock production attribute collection interface for pig. (**e**) Crop cultivation attribute collection interface after filling in the data. “ContactinformationTable” is a “CollectionTable” control that supports users in adding multiple data. “OperatingEntityTable” is a “RelationTable” control. (**f**) The attribute collection interface displays the value script. Unit yield is automatically calculated based on total yield and area.  
and visibility scripts, the collection software automatically inherits or calculates as much information as possible from existing data, enhancing recording speed and minimizing human errors.  
It is worth noting that the platform helps the task team carry out large-scale collection activities in an orderly manner. [PERSON] et al. reported that in large-scale field geographic information collection tasks, team members often spend much time on tedious telephone conferences to assign tasks and allocate task-related resources [39]. In our platform, managers in the team can use the management system to quickly assign collection tasks and allocate task-related resources, such as vector files of the collection area. These features reduce the workload for managers and ensure field personnel are in designated work areas, minimizing task duplication. This ensures that there is no duplication of work between field personnel.  
Next, our platform has multiple quality assurance mechanisms. [PERSON] and colleagues reported that managers need to spend a lot of time to ensure data quality, including integrating data delivered by collectors and visualizing and reviewing the integrated data [39]. These tasks exhaust mid-level managers responsible for field delivery. Our platform distributes the task of ensuring data quality into three processes, reducing the workload of managers who need to verify data while further strengthening data quality control. First, during field collection, the collection software will limit the type of data that collectors can enter based on the control. Second, the management system will automatically send the data uploaded by the collectors to the corresponding field data reviewers. For projects with a tight number of task personnel, managers can monitor the collection progress of the current task and reallocate task personnel according to the progress, for example, by adopting the synchronized collection and review mode so that nearby collectors can go to the field to verify each other's data. Finally, managers can visually review the data verified on the field in real-time and store it in the database without data integration.  
Finally, our platform supports the seamless flow of collected data from field devices to the final project database and avoids intermediate storage in commercial online cloud services. This addresses limitations in commonly used field collection software, such as Esri products using ArcOnline for data storage and synchronization. These limitations include slow data upload or download speeds due to limited Internet conditions [7]. In addition, our platform's management system can run on private servers and support local area network data transmission. This can effectively prevent sensitive data, such as personal privacy, from entering the Internet or being stored in commercial online cloud servers.