> For the complete documentation index, see [llms.txt](https://open-data-charter.gitbook.io/open-up-guide-using-open-data-to-advance-climate-a/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://open-data-charter.gitbook.io/open-up-guide-using-open-data-to-advance-climate-a/other-guides-for-communicating-climate-relevant-information.md).
# Other guides for communicating climate-relevant information
We would like to note that other organizations have produced guidance for using and communicating climate change data. Notably, the United Nations Statistics Division has created a [knowledge platform](https://unstats.un.org/unsd/envstats/climatechange.cshtml) dedicated to providing guidance for countries interested in collecting, compiling, and disseminating climate change statistics. Additionally, the [Open Data for Resilience Index](https://www.riskopendata.org/methodology.html) tracks the availability of key datasets for disaster risk management across the world. Likewise, in 2014, the World Bank launched the [Open Data for Resilience Initiative (OpenDRI) Field Guide](https://www.gfdrr.org/ODRIFG), a practical manual for governments and other organizations that sets standards for the open source creation and communication of disaster risk and related climate change information. The [University of Notre Dame’s Global Adaptation Initiative](https://gain.nd.edu/) (ND-GAIN), meanwhile, develops knowledge, products, and services to inform public and private adaptation actions. Its Country Index is a free and open source tool that measures countries’ vulnerability to climate change and their readiness to implement adaptation actions.
The present guide is complementary to these existing resources as it is intended to be used by various stakeholders to map existing data assets and jointly prioritize data access needs. It can be used to guide the development of broad open climate change data initiatives, or to inform targeted efforts to open datasets relevant to a particular project or program.
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