Enhancing ArcGIS Survey123 to improve rangeland and aquatic data collection Active
We will develop additional Survey123 functionality to improve field data collection and reduce error rates
Scientists and resource managers need properly collected field and laboratory data to make informed decisions. A switch from paper to electronic data collection occurred over the past two decades, improving efficiency and reducing error rates. Survey123, an Esri mobile application, digitally collects geospatial and tabular monitoring data. It is heavily used by many federal, state, and local agencies. However, there are certain critical field and laboratory collection steps that are still difficult to record in Survey123 requiring workarounds or even paper entry. Working with Esri Professional Services, we will create Survey123 add-ins to enhance Survey123 and fill in these digital data collection gaps. Add-ins include external device readers, for example PIT Tag Readers, and customized dropdowns and workflows for rangeland monitoring. These add-ins will benefit data collection across the USGS, DOI, and beyond by further increasing data collection efficiency and reducing error rates and the need to manually record data.
We will develop additional Survey123 functionality to improve field data collection and reduce error rates
Scientists and resource managers need properly collected field and laboratory data to make informed decisions. A switch from paper to electronic data collection occurred over the past two decades, improving efficiency and reducing error rates. Survey123, an Esri mobile application, digitally collects geospatial and tabular monitoring data. It is heavily used by many federal, state, and local agencies. However, there are certain critical field and laboratory collection steps that are still difficult to record in Survey123 requiring workarounds or even paper entry. Working with Esri Professional Services, we will create Survey123 add-ins to enhance Survey123 and fill in these digital data collection gaps. Add-ins include external device readers, for example PIT Tag Readers, and customized dropdowns and workflows for rangeland monitoring. These add-ins will benefit data collection across the USGS, DOI, and beyond by further increasing data collection efficiency and reducing error rates and the need to manually record data.