Common Data Elements foster rigor, facilitate data sharing, and allow multiple datasets to be integrated. They also help make data more FAIR (Findable, Accessible, Interoperable, and Reusable). Many different CDEs are currently in use and can vary across research disciplines, so we would encourage researchers check out databases like the NIH CDE Repository for examples, tools, and other related resources. Through a recently released Request for Information (NOT-LM-21-005), we seek your thoughts on how you use CDEs, potential challenges to their adoption, and how NIH might facilitate and incentivize their use to help us plan future CDE-related efforts.
It’s been over eight months since the COVID-19 pandemic crisis struck, changing every facet of life as we knew it. The U.S. biomedical research enterprise was not spared, as lockdowns and severe restrictions on activities took hold across the country. At the time, we offered our perspectives on efforts we could take to cushion the shock. Since that time, much has happened. COVID-19 research has blossomed with impressive results including FDA approval of a therapeutic agent (remdesivir, which was found to have value in a large-scale NIH-funded trial), development of several candidate vaccines that have already made to pivotal Phase 3 trials, and the rapid development of a variety of diagnostic testing platforms. However, research unrelated to COVID has seen a different picture.
From shifting public health needs to the unprecedented pace of biomedical discovery, everything about the coronavirus response is evolving. This goes for the NIH-Wide Strategic Plan for COVID-19 Research as well, so too must it evolve.
We want your help on the next iteration of the Plan. A Request For Information released yesterday seeks public feedback on the current Plan (NOT-OD-21-018). You or your organization can submit ideas here by December 7, 2020.