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🎉 Welcome To The Field Tasking Manager Documentation 🎉

FieldTM is a versatile mapping tool, used for coordinating groups of mappers during field mapping campaigns.

Examples of data collected may be population information from household enumeration surveys, post-disaster damage assessment, or simply enhancing OpenStreetMap through the addition of field-verified tags.

What is ONE thing all the greatest solutions out there have in common?

They never forget the people they are building for 🤗

So who are we building field mapping solutions for? In short, we build solutions for:

The field mapping manager (coordinating field mapping)

The field mapping manager is responsible for coordinating field mapping activities, ensuring the accuracy and completeness of the data collected, and managing the data itself. This involves a number of key steps, including:

  • Planning: The field mapping manager must develop a clear plan for the data collection process, including identifying key areas of focus and establishing timelines and targets.
  • Recruitment: The field mapping manager must recruit and train field mappers, ensuring that they have the necessary skills and expertise to collect accurate and high-quality data.

  • Coordination: The field mapping manager must coordinate the activities of the field mappers, ensuring that they are working together effectively and efficiently.

    coordination

The field mapper (collecting data)

The field mapper is responsible for collecting data in the field. To ensure the success of the field mapper, we must consider a number of key factors. These include:

  • Ease of use: The field mapper must be able to easily and efficiently collect data, without requiring extensive training or technical expertise.
  • Accessibility: The field mapper must be able to access and collect data from a wide range of environments, including remote or hard-to-reach locations.
  • Data quality: The field mapper must be able to ensure the accuracy and completeness of the data they collect, as well as identify and address any errors or issues that arise.

The validator (quality checking the data)

The validator is responsible for quality checking the data collected by the field mapper, ensuring that it is accurate, complete, and free from errors. The validator faces a number of challenges and issues, including:

  • Incomplete or inaccurate data: The validator must identify and address any data that is incomplete, inaccurate, or otherwise flawed.
  • Conflicting data: The validator may encounter data that conflicts with other data sources, requiring them to identify and resolve any discrepancies.
  • Data validation protocols: The validator must adhere to strict validation protocols and guidelines, ensuring that the data meets a high level of quality and accuracy.

Detailed role breakdown

Click here to see the initial plan we made for the roles present in FieldTM and click here to for further details about each role available.