The National Institute of Health’s (NIH) Disaster Research Response (DR2) Program (https://dr2.nlm.nih.gov/) leads the nation in fostering improvements in processes, frameworks, and infrastructure for executing timely and complex research responses to disasters and emerging threats. The growing field of disaster research aims to advance transdisciplinary health research, and place environmental health into disaster response planning and to better understand the health impacts of disasters. One of the important ways to promote ethical post disaster research is through sharing best practices and existing research tools and protocols. DR2 hosts a website to collate and host a collection of tools to minimize the proliferation of one-off survey items, encourage comparisons across samples, and facilitate data integration and collaboration. This repository was initially created to focus on common disasters with an environmental impact, such as floods or hurricanes. Disaster focused tools include those for environmental sampling, biospecimen collection and for understanding the impacts of a disaster on a community. But environment and health are impacted by more than floods and accidents, and with the emergence of the SARS COV2 virus, a flurry of new data collection tools are being created by the hour. In an effort to minimize one off tool creation and to help provide researchers easy access to other questions of interest, early on in the COVID-19 response, DR2 organized meetings and correspondence across NIH Institutes and Centers to coordinate a process for tool collection and dissemination. DR2 now hosts COVID-19 related research protocols for new and existing cohorts and research studies. Multiple NIH Institutes and Centers and funding programs are encouraging not only data sharing, but sharing of tools and recommending researchers share via DR2. This unique platform, a voluntary, self submitted data collection platform is an important part of advancing DR2’s mission to better share and standardize disaster research. Keywords: COVID, Research, tools, data sharing