Abstract

Scientific reproducibility that effectively leverages existing study data is critical to the advancement of research in many disciplines including neuroscience, which uses imaging and electrophysiology modalities as primary endpoints or key dependency in studies. We are developing an integrated search platform called NeuroBridge to enable researchers to search for relevant study datasets that can be used to test a hypothesis or replicate a published finding without having to perform a difficult search from scratch, including contacting individual study authors and locating the site to download the data. In this paper, we describe the development of a metadata ontology based on the World Wide Web Consortium (W3C) PROV specifications to create a corpus of semantically annotated published papers. This annotated corpus was used in a deep learning model to support automated identification of candidate datasets …

Metadata

publication

AMIA Annual Symposium Proceedings 2022, 1135, 2023

year

2023

publication date

2023/4/29

authors

Xiaochen Wang, Yue Wang, José-Luis Ambite, Abhishek Appaji, Howard Lander, Stephen M Moore, Arcot K Rajasekar, Jessica A Turner, Matthew D Turner, Lei Wang, Satya S Sahoo

link

https://pmc.ncbi.nlm.nih.gov/articles/PMC10148274/

resource_link

https://pmc.ncbi.nlm.nih.gov/articles/PMC10148274/

journal

AMIA Annual Symposium Proceedings

volume

2022

pages

1135