Abstract

Scientific data generation in the world is continuous. However, scientific studies once published do not take advantage of new data. In order to leverage this incoming flow of data, we present Neuro-DISK, an end-to-end framework to continuously process neuroscience data and update the assessment of a given hypothesis as new data become available. Our scope is within the ENIGMA consortium, a large international collaboration for neuro-imaging and genetics whose goal is to understand brain structure and function. Neuro-DISK includes an ontology and framework to organize datasets, cohorts, researchers, tools, working groups and organizations participating in multi-site studies, such as those of ENIGMA, and an automated discovery framework to continuously test hypotheses through the execution of scientific workflows. We illustrate the usefulness of our approach with an implemented example.

Date

March 14, 2026

Authors

Daniel Garijo, Shobeir Fakhraei, Varun Ratnakar, Qifan Yang, Hanna Endrias, Yibo Ma, Regina Wang, Michael Bornstein, Joanna Bright, Yolanda Gil, Neda Jahanshad

Conference

Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB 2019 Workshops, Poly and DMAH, Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers 5

Pages

249-257

Publisher

Springer International Publishing