Go Code Colorado organizers are pleased to offer additional data resources for Go Code Colorado participants. There are many data resources available that can be used with Colorado state public data to create useful business insights and tools. We encourage you to attend a Go Code Colorado event and meet the Go Code Colorado data team to learn more about these resources and how they could help you.

U.s. Patent and Trade Office

Intellectual property data is often an early indicator of meaningful research and development (R&D). The U.S. Patent and Trade Office (USPTO) has a mountain of scientific knowledge in the millions of patent applications they receive. This is no accident—it’s part of the fundamental bargain in the Progress Clause of our Constitution. In exchange for disclosing the  invention to the public, including what it is and how it works, the inventor gets exclusive rights for a limited period of time. One of the most innovative products to date from USPTO is their Open Data Portal, including an API catalog, USPTO data visualizations and the USPTO Developer Page. All are designed to derive new and sustainable ways to expose data and provide a platform to get data “faster and easier.” The goal is to combine this data with other data, such as economic data, report data on filings rates, inventorship, assignee  and location of filing to illuminate compelling new trend lines and insights. This platform lets people dive into what very well may be the world’s largest repository of data on innovation and R&D technology trends. By harnessing the power of patent data, the USPTO hopes to better arm those looking to innovate and create by having better access to what’s come before—what’s worked commercially and what hasn’t—to empower a more innovative society.

The USPTO has many data resources for citizens and Go Code Colorado participants to peruse and use.

National Renewable Energy Laboratory PUBLIC APIs

The National Renewable Energy Laboratory (NREL) provides energy data via an API at Anyone may access and use these web services by signing up for a free API key. Information provided includes data related to energy efficiency and the use of renewable energy technologies in residential and commercial buildings, services associated with the costs, generation, transmission, delivery and monitoring of electricity, and access to NREL wind datasets and models. Users may also access the complete alternative transportation technology datasets, which include station locations and transportation laws and incentives, and a number of solar resource data and models, including real-time installation data. NREL’s State and Local Energy Data (SLED) tool gives comprehensive energy use and activity data based on a city name or ZIP code.  SLED output is derived from a number of sources listed on the Data Sources tab of the tool. These sources provide data that includes utility rates and averages, fuel sources, consumption trends, state and local policies, and demographic and housing data.

The data resources from NREL are free and available to anyone who requests an API key.

Drcog regional data catalog

The Denver Regional Council of Governments (DRCOG) has made the Regional Data Catalog available to house a variety of datasets curated for the needs of planners and economic developers in the Denver Metro Area. It focuses on topics in demographics, land use, employment, infrastructure and transportation. Whereas Go Code aims to highlight statewide data wherever possible, there are so many valuable datasets being built for this catalog that it is worth highlighting. You can also look to other collaborating agencies like Northwest Colorado Council of Governments (NWCCOG) for data resources or any of the other 14 in the other Colorado Association of Organizations.

Drcog Portal New

COLORADO data engine and the shift research lab

Data available on the Colorado Data Engine is focused on providing neighborhood-scale public data in a standardized, geolocated format. The available datasets are focused on promoting research and civil efforts toward community development and health—the health of the citizens as well as the vibrancy of their environment. Datasets include school measures, health indicators, food deserts and more. Public data for the public good. The Shift Research Lab offers neighborhood-level data and analysis via online platforms, performs objective research to support community change initiatives, and provides technical assistance that helps organizations build their capacity to use data.


Data Engine has data resources focused on providing neighborhood scale public data in a standardized, geolocated format.


Open colorado

Competing teams may use datasets in addition to those published on the Colorado Information Marketplace. Many are available at OpenColorado, which provides access to crime, financial, health, population, transportation and GIS data from Arvada, Boulder, Denver, Fort Collins, Denver Regional Council of Governments (DRCOG) and other jurisdictions. OpenColorado provides a data sharing platform that makes public data available and accessible to all Colorado constituents by allowing any municipality, county, government agency, nonprofit or individual to upload and share open data with the public.

OpenColorado data resources provides access to crime, financial, health, population, transportation, and GIS data from Arvada, Boulder, Denver, Fort Collins, Denver Regional Council of Governments, and other jurisdictions.

RTD Developer resources

Competing teams interested in using transit data in their apps can utilize the available data resources from the Regional Transportation District. The RTD schedule data is available in General Transit Feed Specification (GTFS). RTD provides real-time data feeds for arrival predictions and vehicle locations in GTFS realtime format. RTD GIS data is also available for download. Developers must accept an agreement before downloading  GIS data.

RTD's data resources include real-time GIS data that is free and downloadable. Developers must first accept an agreement before getting access to the GIS data.


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