Blogs

As Nick Shockey notes in his 2019 Open Access Week blog post, considering “open for whom?” as institutions transition to open knowledge sharing platforms is essential. Journals and repositories that support the dissemination of open access peer-reviewed articles or licensed or public datasets are often designed with academic users in mind.

The deployment and use of artificial intelligence (AI) in healthcare is regarded by many as a fait accompli, despite few examples of success. As with most technological movements, hype precedes results and this certainly holds true for clinical AI. However, given the enormous inefficiencies and costs within today’s healthcare system, the question is not whether AI will impact healthcare, but when.

Data is changing the world. In every sector from agriculture to healthcare, data has emerged as a transformational asset. Computing and analytics have rapidly altered the landscape of what it means to use data, thereby straining the legal frameworks that govern it.

The CD2H response to the NIH Strategic Plan for Data Science RFI is outlined below.  We welcome ongoing opportunities for discussion and collaboration on these and many other issues facing the data science community and appreciate the opportunity to submit this response.

Biomedical tools and technologies are evolving rapidly, enabling scientists to both generate and analyze more research data than ever before. But what happens when datasets become too large to share or when the data from various sources are so dissimilar that they cannot be combined easily with another related but different dataset? These types of data roadblocks slow or prevent the translation of scientific research into medical knowledge and, ultimately, health benefits.