The NIH Policy for Data Management and Sharing: Putting Policy into Practice

Arielle Nitenson and Andrew Creamer

The new NIH Policy on Data Management and Sharing goes into effect on January 25, 2023. How are the departments at Brown that support researchers preparing for this new policy? How should researchers prepare for changes in proposal development, data collection, and depositing data? How will the policy impact research, including updating documentation for informed consent, new pre- and post-award engagement with NIH repositories, and updated timelines for data preparation and depositing? Resources will be shared such as templates to help researchers with writing plans, tools for managing their data throughout a project, and sharing data during and after a project closes.

Talk Title: Sparse Deep Learning

Abstract: Sparsity is popular in statistics and machine learning, because it can avoid overfitting, speed up computations, and facilitate interpretations. In deep learning, however, the full potential of sparsity still needs to be explored. This presentation first recaps sparsity in the framework of high-dimensional statistics and then introduces sparsity-inducing methods and corresponding theory for modern deep-learning pipelines.