by Lillian Watson | Oct 12, 2022 | Presentations
With the passage of the Disaster Recovery Reform Act in 2018, the Federal Emergency Management Agency launched a new program to provide a larger and more reliable funding stream for pre-disaster mitigation – the Building Resilient Infrastructure and Communities (“BRIC”) Program. In this webinar, Scott Baldwin, Senior Mitigation Manager in Hagerty Consulting’s Recovery Division, discussed the structure of the BRIC program and how communities are beginning to use these funds to prepare for future natural disasters, including droughts.
by Lillian Watson | Sep 15, 2022 | How To's, Library, Reports
The guidance provided in this document is designed to address a critical barrier to understanding and effectively managing surface and groundwater (SWGW) interactions in Texas: legacy data and legacy systems. Data held in legacy systems are difficult to find, access, and integrate with other data, and because of this, these data are rarely used in decision-making processes. Improving the findability and accessibility of legacy data is a foundational step in improving water management decisions about SWGW interactions in Texas. However, this same guidance can be applied to address challenges with legacy data and systems for a variety of other applications.
by Lillian Watson | Sep 15, 2022 | How To's, Library, Reports
In 2018, water experts and stakeholders in Texas came together to take the first steps toward water data modernization at a workshop at the University of Texas in Austin. The goal of the workshop was to develop a vision for “an ideal water data system for Texas.” The system envisioned in that workshop was the jumping-off point for a collaborative project between the Internet of Water (IoW) and the Texas Water Development Board (TWDB) to develop the Texas Water Data Hub. This data hub will give data users easy access to many different types of standardized water data in one place. The hub will support real-time decision-making, enable the identification of opportunities to improve water security and provide decision-makers with a more complete picture of the water cycle in Texas.
As part of this project, the IoW has developed the following best practices and recommendations to support the development of the Texas Water Data Hub. While this document was developed for the Texas Water Data Hub it is broadly applicable and can be used to support the development of other hubs in the future.
by Lillian Watson | Sep 15, 2022 | Documents, Library, Reports
The developing Texas Water Data Hub represents a first step in realizing the vision for “an ideal water data system for Texas” that allows those tackling water problems timely access to relevant data about water in Texas. The Internet of Water (IoW) shares a similar vision but is applied across the United States. As such, the collaborative project between the IoW and the TWDB lays the groundwork for the Texas Water Data Hub to interconnect with the broader internet of water, including the water data systems of federal agencies and neighboring states.
Currently, the Texas Water Data Hub provides an online location where metadata regarding many water datasets can be searched, directing users to where data of interest can be accessed. As part of this project, the IoW has developed the following implementation plan for the continued development of Texas Water Data Hub capabilities that will serve to make its data findable, accessible, and interoperable with data from other hubs within the internet of water. While this document was developed for the Texas Water Data Hub it is broadly applicable and can be used to support the development of other hubs in the future.
by Lillian Watson | Jul 21, 2022 | Uncategorized
It’s important to be able to share data in ways that are easy for scientists and water professionals to analyze and for developers to use to make tools and communication materials. In this blog, Kyle Onda describes practices that the Internet of Water Initiative at the Lincoln Institute’s Center for Geospatial Solutions recommends for sharing geospatial vector data.
