Custom Observer App

The Custom Observer app, enables data collection using standard methods and protocols to produce credible and actionable insights that address needs and priorities of communities for environmental and ecological monitoring. Our mission is to empower communities to lead in environmental monitoring and research by branding their own app environment in which they can combine diverse data collection methods to drive effective ecosystem stewardship and resource management.

The Custom Observer App is a modern approach to caring for and stewarding the land. Data collection priorities are set by communities and collaborating researchers and can range from environmental data related to extreme weather events such as wind speed or storm surge, or ecological indicators such as species distribution and phenology, presence of invasive species or declines in important subsistence species. The app supports the employment of rigorous protocols for data validity and reliability, blending scientific and social methodologies. Moreover, the app supports the assurance of data accuracy by providing detailed quality assurance and control mechanisms. The Custom Observer app is the technical infrastructure for community networks to lead in defining research priorities, generating and managing access to data equitably, and ensuring that future ecological and environmental monitoring strategies, all while also enabling community networks to apply their own branding and look and feel to the app.

The Custom Observer App’s core function is to support the implementation of community-driven monitoring programs. Data Collection Programs are sets of related observation activities that group various data collection forms/surveys. The Programs module in the app organizes data collection forms, users, and observations into manageable categories for a defined network of communities and organizations. On the app, an ‘observation’ is a single data point collected in a survey/form related to certain species, environmental variables or events at a specific point in space and time within a data collection program.