Type: Blogs
Categories: Blog
With access to the water data they need, water leaders and decision-makers can implement sustainability measures and improved management strategies to ensure water is available to meet the needs of a changing and growing society.
Type: Presentations
Categories: Educational Materials
In 2019 New Mexico passed the New Mexico Water Data Act, prompting the creation of the New Mexico Water Data Initiative (NMWDI). In this webinar, Stacy Timmons from the New Mexico Bureau of Geology and Mineral Resources will talk about the NMWDI from policy to implementation.
Type: Blogs
Categories: Blog
Cassidy White discusses data fragmentation and the challenges it creates for modern water management, and lays out 7 key benefits to data integration. “Seemingly everywhere and nowhere at once, water data may be widespread but is often difficult to find or is completely inaccessible…”
Type: Documents
Categories: Technical
The Water Budget Navigator is a web application developed by the Internet of Water (IoW) that allows users to compare the water budgeting and water use estimation frameworks used by a variety of water resources agencies. The purpose of the water budget navigator is to represent any water budgeting approach in a standard format that allows different approaches to be compared.
Type: Documents
Categories: IoW General Information, Technical
The Keeping Research Data Safe (KRDS) method was developed by Charles Bergie and seeks to calculate the annual (and long-term) costs of data hubs, as well as the value of hubs to data users.
Type: Reports
Categories: IoW General Information
The Internet of Water Report outlines three key findings and underlying principles. We briefly summarize them here.
Type: Documents
Categories: Valuation
FAIR data principles have evolved from a collective effort of stakeholders seeking to make data
Findable, Accessible, Interoperable, and Reusable. The Internet of Water supports the adoption
of these principles.
Type: Documents
Categories: Valuation
U.S. Geological Survey stream gage data are used by organizations to better manage floods through
reservoir operations and design, flood forecasting, and floodplain management. The estimated benefits
of stream gage data for flood-related decisions were assessed by the USGS through direct surveys. We applied the Business Model Maturity Index method to estimate the relative contribution of stream gage data to flood control for three use cases. The value of data varied dramatically depending on whether the data were considered responsible for the full benefit of flood management decisions or a relative contribution to the decision.
Type: Documents
Categories: Data Stories
The California Irrigation Management Information System (CIMIS) provides raw weather data, as well as
information on evaporation rates and crop water usage, to inform irrigation decisions. A series of surveys demonstrated CIMIS was used to save water and increase crop productivity. The benefit-to-cost ratio of CIMIS to irrigation users was between $56 and $76 for every $1 spent.
Type: Documents
Categories: Valuation
Why are data hard to value, Pt. 2: Nobody wants data just for the sake of data. Data are valued for their end use (derived demand). When data producers and users are the same organization, assessing the value of data is straightforward (primary demand). But when data are shared and put to use by outside
organizations (secondary demand), it is much harder to assess their value because producers
and hubs often don’t know (1) how the data are used, (2) if the data lead to action, and (3) how
demand changes over time.