UNESCO/CODATA Developing Data Policies for Times of Crisis Facilitated by Open Science

Summary: As the COVID-19 pandemic and subsequent disasters and geopolitical conflicts have revealed, deficiencies in the capacity of science to integrate data readily and efficiently into crisis preparation, response, and recovery policy and actions significantly limit the capacity of scientists and policymakers to have full information. UNESCO partnered with the Committee on Data (CODATA) of the International Science Council (ISC) to explore how the principles of open science, as outlined in the 2021 UNESCO Recommendation on Open Science, could guide efficient and effective policies for data sharing in times of crisis, taking into account existing international policies and action frameworks. The UNESCO-CODATA Data Policy for Times of Crisis Facilitated by Open Science (DPTC) project aims at developing guidance and tools for data policy required to address crises within the framework of the UNESCO Open Science Recommendation and to contribute to the UNESCO Open Science Toolkit. The objectives of the toolkit include: • Assisting policymakers in formulating data policies that promote open science during crises; Helping stakeholders implement data policies through the toolkit contributions being designed; Promoting collaboration among stakeholders involved in crisis response and research; • Serving as elements of a communication and advocacy toolkit to raise awareness about the importance of open science and effective data policies during crises; • and To be adaptable, flexible, and customizable to suit varying contexts and crisis scenarios by providing stakeholders with appropriately tailored tools to address their specific policy-related needs in an open science framework, taking into account local regulations, cultural considerations, and available resources. Comprising a factsheet, a guidance document, and a checklist for data policies for times of crisis facilitated by open science, these resources are intended to assist in designing the most efficient data policies for times of crisis, not only addressing immediate response needs but also preparedness and long-term recovery.