Future goals center on the continued use of developing computational technologies to assist in integrating electronic medical records and clinical research data, as well as changing the way data is stored, analyzed, and published, in an effort to provide open knowledge platforms. Other CMTF plans include continued private-academic partnerships as a means of combining private sector innovations with the richness of academic clinical data. Creating the tools to convert written clinical notes into standardized data will alleviate some of the data management workload by eliminating the need for manual data abstraction and entry.

Improvements to how researchers acquire, store, analyze, and disseminate data will undoubtedly inform all other CMTF strategies, not only in content, but in expediency. The CMTF plans to grow a biomedical data science workforce specifically versed in these new modalities, including federal funding of biomedical data science undergraduate and graduate programs, as well as grants, fellowships, and continuing education workshops.

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Though the CMTF emphasizes that its strategies are not meant to replace the new HHS or NIH guidelines, insights gained from the Cancer Moonshot will certainly advise institutional-level reporting. Independent collaborations are also placing a strong emphasis on how clinical data are managed.

In the short-term, research institutions can look to more compliant centers as “role models,” though if there is not a more substantial change, the impending FDAAA and NIH changes could simply add fuel to the fire. With a variety of well-funded initiatives working in tandem, many with the ability to implement change from the ground up, all researchers stand to benefit from news ways of handling data. It’s up to each institution, however, to adhere to the FDAAA and NIH guidelines. Yet with exponential increases in trial volume and complexity, it seems that trial reporting has the potential to remain an issue bigger than institution-level reporting.


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