Microbiology for the CTSA: Ontological Approaches

Sixth Annual Workshop of the Clinical and Translational Science Ontology Group

Announcement

The Clinical and Translational Science Ontology Group (CTSOG) invites you to join us this October in Ann Arbor, Michigan to discuss the state of the art in ontologies and terminologies towards standardized data and metadata and data integration in various areas of clinical and translational microbiology. Example areas of discussion include microbiomes, host-microbiome interactions, microbial pathogens (e.g., bacteria, viruses, and parasites), infectious diseases, host immunity, vaccines and drugs treating infectious diseases, and vaccine and drug adverse events and safety. We will focus on how ontologies can be developed and used to support clinical and translational microbiology data recording, standardization, and analysis.

Our workshop will include an education session that will be used to discuss: What are critical needs in microbiology that ontology can help to address? What do microbiologists need to know to use and develop ontologies? What experience do microbiologists need to acquire to use and develop ontologies? What do ontologists need to know to develop ontologies with and for microbiologists? How to generate use cases to demonstrate the usage of ontology in microbiology?

Organizers

Yongqun “Oliver” He (Ann Arbor), Amanda Hicks (Gainesville)

Sponsor

The Michigan Institute for Clinical & Health Research (MICHR), a University of Michigan institute funded by the NIH Clinical and Translational Science Awards (CTSA)

Date

October XXXXXX, 2017

Venue

Insert hotel / venue information here

Schedule Day 1: October XXXX

Wednesday Morning

8:00am Registration and Breakfast

8:45am XXXX Welcoming remarks

9:00am

10:30am Break

11:00am

12:00: Lunch

Wednesday - Afternoon

1:00pm

3:00pm Break

3:30pm

4:15pm Keynote address

6:30pm Dinner

Schedule Day 2: October XXXXX

Thursday - Morning

8:00am Registration and Breakfast

8:30am

10:00am Break

10:30am

12:00 Lunch

Thursday - Afternoon

1:00pm

2:00pm Wrap-up session

4:00pm Close

Rationale

The CTSA Program has always emphasized the need for data standards to promote sharing and comparison of data across the CTSA Consortium and beyond. Yet creation and adoption of such standards is still painfully slow. Urgent action remains necessary. History shows the high value of standard terms, definitions, and symbols (i.e. ontology) to science. But the creation and adoption of such standards often takes decades. Translational science requires a consistent set of standard ontologies spanning all scales, from molecule to organism to population. In this year's meeting we focus on resources for describing data at the scale of micro-organisms XXX

This workshop will convene stakeholders interested in identifying ways to XXX

Goals

The Clinical and Translational Science Ontology Group was established in 2012 to leverage the use of common ontologies to support different aspects of information-driven clinical and translational research. The focus of this meeting is to explore new and existing uses of common ontologies to support creation, sharing, and analysis of clinical data.

Like its predecessors in the series, this meeting is designed to bring together clinical and translational scientists from across the CTSA Consortium who are interested in using ontologies to promote discoverability and interoperability of biomedical data.

Persons interested in attending or in presenting at the meeting should write to [mailto:].

Sponsor

Principal sponsor: Department of Biomedical Informatics, University at Buffalo

We are grateful also to the Buffalo Clinical and Translational Research Center for sponsoring four scholarships of $500 to early career researchers for attendance at the meeting. See here for details.

Organizing Committee

Barry Smith (University at Buffalo)

William Hogan (University of Florida)

Participants

Maurizio Almeida (Department of Information Theory and Management, Federal University of Minas Gerais, Brazil)

Sivaram Arabandi (ontopro, Houston)

Adrien Barton (University of Sherbrooke, Québec)

Jonathan Bona (Department of Biomedical Informatics, University at Buffalo)

Matt Burton (Applied Clinical Informatics, Mayo Clinic)

James R. Campbell (Department of Internal Medicine, University of Nebraska)

Werner Ceusters (Department of Biomedical Informatics, University at Buffalo)

Kei-Hoi Cheung (Yale Center for Medical Informatics and VA Connecticut Healthcare System)

James Cimino (Informatics Institute, School of Medicine, University of Alabama at Birmingham)

Alexander Diehl (Department of Neurology, University at Buffalo)

William Duncan (Roswell Park Cancer Institute, Buffalo)

Peter Elkin (Department of Biomedical Informatics, University at Buffalo)

Fernanda Farinelli (School of Information Science, Federal University of Minas Gerais, Brazil)

Josh Hanna (Health Outcomes and Policy, University of Florida, Gainesville)

Monica Harry (IHTSDO, Copenhagen)

Amanda Hicks (Health Outcomes and Policy, University of Florida, Gainesville)

William Hogan (Department of Biomedical Informatics, University of Florida, Gainesville)

Mark Jensen (Department of Biomedical Informatics, University at Buffalo)

Ross Koppel (Department of Sociology, University of Pennsylvania)

Anand Kumar (Clinical Science Radiology, Philips Healthcare, Cleveland)

Asiyah Lin (Food and Drug Administration, Silver Spring, MD)

Lesley MacNeil (IHTSDO, Copenhagen)

Sina Madani (Department of Institutional Analytics and Informatics, MD Anderson Cancer Center, Houston)

Øystein Nytrø (Department of Computer and Information Science, Norwegian University of Science and Technology, Norway)

Jihad Obeid (Biomedical Informatics Center, Medical University of South Carolina, Charleston)

Anna Orlova (American Health Information Management Association (AHIMA))

Jose Parente de Oliveira (Instituto Tecnológico de Aeronáutica, Brazil)

Lyubov Remennik (NIH/CC/BTRIS, Bethesda, MD)

Rachel Richesson (Duke University School of Nursing)

Alan Ruttenberg (School of Dental Medicine, University at Buffalo)

Stefan Schulz (Medical University of Graz, Austria)

Dan Schlegel (Department of Biomedical Informatics, University at Buffalo)

Selja Seppälä (Health Outcomes and Policy, University of Florida, Gainesville)

Barry Smith (National Center for Ontological Research, University at Buffalo)

Dagobert Soergel (Department of Library and Information Studies, University at Buffalo)

Davide Sottara (College of Health Solutions, Arizona State University)

Ram Sriram (HealthIT, National Institute of Standards and Technology)

Chris Stoeckert (Institute for Biomedical Informatics, University of Pennsylvania)

Ryeyan Taseen (University of Sherbrooke, Québec)

Mirela Vasconcelos (Health Outcomes and Policy, University of Florida, Gainesville)

Peter Winkelstein (Institute for Healthcare Informatics, University at Buffalo)