Skip to main content
UNDRR Logo
Menu
UNDRR Document

UNDRR Data strategy and roadmap 2023-2027

Source
United Nations Office for Disaster Risk Reduction (UNDRR)
UNDRR Bonn Office

Everyone has a role to play in harnessing the power of data for public good. This Data Strategy identifies those roles and the opportunities to use data in reducing disaster risks and losses. It spells out how UNDRR, its partners and stakeholders can access, analyse and share data for risk-informed sustainable development, and climate and humanitarian action. The new data strategy promotes capabilities in:

  • Governing data – Policies for managing data as a strategic asset and as a shared global resource ensure the desired level of quality and utility for implementing the Sendai Framework at all levels.
  • Managing data – A common and consistent set of tools and practices will meet UNDRR’s own data needs for informed decision-making, and those of stakeholders, applications and processes throughout the community.
  • Analysing data – Stronger organizational business intelligence will make data analytics an organization-wide competence in our daily work

Download

UNDRR Data strategy and roadmap 2023-2027 PDF, 2 MB English

Last checked: 23 June 2023

Editors' recommendations

  • UN Secretary-General’s Data Strategy for action by everyone, everywhere
  • Data and digital maturity for disaster risk reduction: Informing the next generation of disaster loss and damage databases
  • DesInventar Sendai - disaster loss data for Sustainable Development Goals and Sendai Framework Monitoring
  • Data tools for assessing disaster risk reduction: An analysis of literature using open-access disaster risk reduction spatial datasets to implement the Sendai Framework

Explore further

Themes Preparedness Data and information management
Cover
Number of pages
17 p.
Publication year
2023

Also featured on

PreventionWeb

Is this page useful?

Yes No
Report an issue on this page

Thank you. If you have 2 minutes, we would benefit from additional feedback (link opens in a new window).

Loading