The METEOR Data Synthesis and Transfer (DST) shared resource provides expertise and systems for synthesizing data across all data sources in METEOR and enabling the transfer of data into the larger NCI Data ecosystem and repositories. DST addresses the critical issue of aggregating and sharing multi-omics data, imaging, radiotherapy, and clinical data in a user-friendly manner.

DST Leadership
Daniel Marcus, PhD
Professor of Radiology
Director, Computational Imagery Research Center
Director, Neuroinformatics Research Group
Marcus Lab | dmarcus@wustl.edu
Albert Lai, PhD, Professor of Medicine
Deputy Director, Institute for Informatics,
Data Science & Biostatistics (I2DB)
Chief Research Information Officer
About Albert | amlai@wustl.edu
DST Goals

Augment CIELO, an open science platform for health research, to support the workflows and data types needed for ROBIN

CIELO is a HIPAA-secure open science platform for health research. CIELO allows diverse end-users to share, discover, and adapt/adopt “bundles” of health information, such as multi-scale, longitudinally defined phenotypes. This will serve as a comprehensive and “end-to-end” solution for enabling Trans-ROBIN data-centric research collaborations involving multiple ROBIN centers and beyond.

Deploy XNAT to support imaging and radiation therapy data in ROBIN and integrate with CIELO

We will deploy and enhance XNAT to support imaging and radiation therapy data in ROBIN and integrate with CIELO. XNAT is a web-based software platform designed to facilitate common management and productivity tasks for imaging and associated data. It consists of an image repository to store raw and post-processed images, a database to store metadata and non-imaging measures, and user interface tools for accessing, querying, visualizing, and exploring data. We will enhance XNAT to store radiation therapy DICOM formats (RT Structure Set, RT Dose, Segmentation Objects) and to visualize radiation therapy annotations in XNAT’s web-based imaging viewer. We will fully integrate XNAT with CIELO via XNAT’s extensive REST API.

Relevant Publications
  • Payne, P., Lele, O., Johnson, B. & Holve, E. Enabling Open Science for Health Research: Collaborative Informatics Environment for Learning on Health Outcomes (CIELO). J Med Internet Res 19, e276 (2017).PMC5556258
  • Gurney, J., et al. The Washington University Central Neuroimaging Data Archive. Neuroimage 144, 287- 293 (2017).PMC4967044
  • Marcus, D.S., Archie, K.A., Olsen, T.R. & Ramaratnam, M. The open-source neuroimaging research enterprise. J Digit Imaging 20 Suppl 1, 130-138 (2007)PMID 17710494
  • Marcus, D.S., Olsen, T.R., Ramaratnam, M. & Buckner, R.L. The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data. Neuroinformatics 5, 11-34 (2007)PMID 17426351