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CTSI: Bioinformatics

Frequently Used Acronyms

  • CERR Community Engagement & Research Resource
  • CICERO Electronic IRB and other regulatory
  • CIO Chief Information Officer
  • CITS Center for Informatics Technology  Services
  • CT Clinical and translational
  • DW Data Warehouse
  • DBQRR Design, Biostatistics, & Quantitative Research Resource
  • DEPH Dept.of Epidemiology and Public Health
  • EC Executive Committee
  • EMR Electronic medical record
  • HRPO Human Research Protections Office
  • IGS Institute for Genome Sciences
  • RSS Really simple syndication
  • PRC Pharmacy Research Center
  • UM University of Maryland
  • UM CTSI UM Clinical and Translational Science Institute
  • UM SOD UM School of Dentistry
  • UM SOM UM School of Medicine
  • UM SON UM School of Nursing
  • UM SOP UM School of Pharmacy
  • UM SOSW UM School of Social Work
  • UM SPH UM School of Public Health
  • UMB University of Maryland, Baltimore
  • UMBC University of Maryland Baltimore County
  • UMCP University of Maryland College Park
  • UMMC University of Maryland Medical Center
  • UMMS University of Maryland Medical System
 

Coordinating Director
Robert S. Gold, PhD, DrPH

Co-Directors:
Bioinformatics
Owen White, PhD

Clinical and Healthcare Informatics
James M. Walker, MD, CMIO
Kathleen Tracy, PhD

Transformative and Imaging Informatics
Amitabh Varshney, PhD
Eliot Siegel, MD

Specific Aims

Access to and management of information are critical to all aspects of the translational research life cycle, from the formation of the research question, through recruitment of participants, collection and analysis of data, presentation of results, and final integration of research findings into effective clinical practices and/or community health guidelines and policy recommendations.

To meet the targeted goal of improving translational and transformative medicine in our multicampus, public–private consortium, we have successfully aligned an interdisciplinary group of leaders in health care information systems, high-throughput “omic” data generation facilities, and a team of researchers with diverse expertise in areas including clinical study design, high-performance computing, genome analysis, imaging informatics, machine learning, natural language processing, ontologies/semantic web analysis, and statistical methods to support and contribute to the translational research agenda of the Maryland Clinical and Translational Sciences Institute (mCTSI).

A governance structure has been launched with the authority to address and remediate impediments to implementation of innovative research, development, and clinical translation, with the ultimate goal of providing innovative and robust patient-oriented solutions to improve the overall health of the mid-Atlantic population.

Our long-term goal is to sustain increased integration, transparency, availability, support, and oversight to allow optimal use and synergies in this data-rich environment to empower both researchers and the many stakeholders who depend on documented and evidence-driven scientific advances. Advances and infrastructures already put in place within our consortium specifically to support our new mCTSI will provide a unifying umbrella under which a constellation of already vigorous and innovative research programs, research assets, and data sources coalesce, advance communication and data compatibility standards, and drive the next generation of translational science in our community and beyond.

Aim 1:

Based on current assets from both internal and external partner informatics networks, create a comprehensive, integrated, and robust information hub and system that supports the research of our Maryland public–private consortium across the 5 phases of the translational continuum. This network will coordinate the research data interests and assets of diverse stakeholders, be sufficiently flexible to evolve with changing partnerships and requirements, and have the capacity to both contribute to and benefit from the already rich CTSA network of expertise and accomplishment.

Aim 2:

Fully implement this network and engage investigators from across the spectrum of research activities through a carefully curated range of data, orientation, educational, support, methodology, mentoring, and translational acceleration programs that are structured to meet the changing needs of participants in our own consortium and throughout the CTSA network. Fulfillment of this aim will include special efforts to involve all stakeholders in our consortium area, including not only academic researchers but representatives from local and national regulatory/health groups, private practitioners and their associations, and patient advocates.

Aim 3:

Design and implement a vigorous oversight program. This program will plan future activities based on regular aggregation of specific metrics of usage and success, gather and analyze outcomes measures that ensure rapid translation of significant research through each stage of development, verify rigorous adherence to clearly delineated privacy and data protection standards, and promote and document ongoing community discussion about the role of ethics in research and clinical informatics.