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.
If you are interested in the kinds of issues we discuss on Rock Talk, you might want to check out the video of my plenary presentation at the NIH Regional Seminar. I address the impact of NIH funded research and the challenges of the current NIH funding situation; highlight opportunities, new initiatives, and policy changes; and even discuss the blog.
Genomic research produces incredibly large amounts of valuable data, often more than one lab can feasibly interrogate. Every day, genomic sequencing costs decrease, and high-throughput technologies advance, allowing scientists to generate large-scale genomic data faster than before. Thus the sharing of these data not only is practical and efficient, it also maximizes the scientific potential of valuable data. This is why it’s important for you to know about the release of the final NIH Genomic Data Sharing Policy.
A critical component in assuring the efficacy of NIH’s peer review system is the continuous assessment of peer review activities, to be sure that the practices and policies uphold the core values of peer review. In fact, this continual assessment was a key component of the 2008 NIH Enhancing Peer Review Initiative. ….