Enhancing Decision Support with Restoration Project Data Pipelines
Effectively documenting and distributing information about restoration projects is essential for measuring progress towards national conservation goals. We will improve the National Fish Habitat Partnership Project Tracking database by creating a data pipeline to compile project information and link data with other decision support tools.
Documenting and distributing information about conservation and restoration projects is essential for measuring progress towards national conservation goals and supporting decisions about where future projects should occur. Over a decade ago, the National Fish Habitat Partnership (NFHP) created a project tracking database to document and share information about the partnership's conservation projects across the United States. Although a step in the right direction, there are opportunities for improvement of how the data are managed and ways to modernize the database and tools to collect, retain and serve information in a more efficient and effective manner. We propose to apply data management principles outlined by USGS, along with a new set of data management technology to improve efficiencies in the database lifecycle. We will then demonstrate the value in these improvements by connecting the project database to efforts that will help inform future conservation projects.
Effectively documenting and distributing information about restoration projects is essential for measuring progress towards national conservation goals. We will improve the National Fish Habitat Partnership Project Tracking database by creating a data pipeline to compile project information and link data with other decision support tools.
Documenting and distributing information about conservation and restoration projects is essential for measuring progress towards national conservation goals and supporting decisions about where future projects should occur. Over a decade ago, the National Fish Habitat Partnership (NFHP) created a project tracking database to document and share information about the partnership's conservation projects across the United States. Although a step in the right direction, there are opportunities for improvement of how the data are managed and ways to modernize the database and tools to collect, retain and serve information in a more efficient and effective manner. We propose to apply data management principles outlined by USGS, along with a new set of data management technology to improve efficiencies in the database lifecycle. We will then demonstrate the value in these improvements by connecting the project database to efforts that will help inform future conservation projects.