The purpose of this document is to document the technical face to face meeting details between the NCI and Mayo for the National Cancer Institute Center for Biomedical Informatics and Information Technology (NCI CBIIT) LexEVS Release 6.3 and LexEVS Release 6.4.
December Face-to-Face (December 8 - 10, 2015)
Meeting Details
NCI Shady Grove Campus
9609 Medical Center Drive
Rockville, MD 20850
http://www.cancer.gov/about-nci/visit
Conference Details
1-866-660-5416 # 2398515
Join WebEx meeting
Meeting number: 732 008 454
Meeting password: 4NCI-new
Attendees
| Name | Role | Attend? (Y/N) |
|---|
Wright, Larry | NIH/NCI | |
Fragoso, Gilberto | NIH/NCI | |
De Coronado, Sherri | NIH/NCI | |
Safran, Tracy | NIH/NCI | |
Ong, Kim L | IS | |
Lucas, Jason R | IS | |
Bauer, Scott | Mayo | Y |
Stancl, Craig | Mayo | Y |
Endle, Cory | Mayo | Y |
Wynne, Robert | NIH/NCI | |
Tran, Tin | NIH/NCI [C] | |
Carlsen, Brian | (NIH/NCI) [C] | |
Wong, Joanne | | |
Kuntipuram, Kumar | | |
Agenda
| | | Tuesday, December 8 | | |
|---|
| Time | Location | Topics | Participants | Notes |
|---|
| 9:00 AM - 9:30 AM | 1W030 | Overview and Planning | | |
| 9:30 AM - Noon | 1W030 | Discussion: Tech Stack Updates - Migration to Java 8
- Migration to centOS 7
- Migration to Spring 4
- Determine next steps/roadmap
| | |
| | | Discussion: LEXEVS API/Browser Performance and Usability Improvements - NCI to provide requirements/use cases
- Areas for discussion:
- value set
- mapping
- multi-namespace
- relationship querying
- inferred data
- Determine next steps/roadmap
| | |
| Noon - 1:00 PM | | Lunch | All | |
| 1:00 PM - 2:00 PM | 4W030 | Discussion: Enhancing the LEXEVS CTS2 REST Interface (1 hour) - NCI to provide requirements/use cases
- Areas for discussion:
- Expanding to include Associations
- Specialized REST calls (e.g., bulk download) to CTS2 service framework
- Provide the capability to use data from one endpoint to query another
- Provide a framework that includes both CTS2 and Extensions
- Bulk downloads/special user requirements
- Determine next steps/roadmap
| | |
| 2:00 PM - 4:00 PM | 4W030 | Information Session: End User Usage of LexEVS Query API (2 hours) - Overview to demonstrate how to query using LexEVS API
- Review of existing LexEVS API documentation
| | |
| | | Wednesday, December 9 | | |
|---|
| Time | Location | Topics | Participants | Notes |
|---|
| 9:00 AM - 9:30 AM | 2E914 | Recap and Planning | | |
| 9:30AM - Noon | 2E914 | Discussion: Indexing and Coding Scheme Searches Horizontal Coding Scheme Searches - NCI to provide requirements/use cases
| | |
| | | Discussion: LEXEVS Loader Improvements (1 hour) - Discuss known issues for OWL2, MeDRA and HL7 Loaders
- Determine next steps/roadmap
| | |
| Noon - 1:00 PM | | Lunch | All | |
| 1:00 PM - 4:00 PM | 2E914 | Tutorial: Loader Implementation (3 hours) - Overview of LexEVS Loader development process
- Implement a simple LexEVS loader (hands-on)
- Review existing loaders and identify where changes could be made
| | |
| | | | | |
| | | Thursday, December 10 | | |
|---|
| Time | Location | Topics | Participants | Notes |
|---|
| 9:00 AM - 9:30 AM | 6E030 | Recap and Planning | | |
| 9:30 AM - Noon | 6E030 | Discussion: Triple Store/Graph Database | | |
| | | Discussion: Cloud Considerations - NCI to provide requirements/use cases for supporting a cloud environment
| | |
| | | Discussion: Build and Deployment Process - DevOps and continuous integration
- Changes for build, deployment and distribution
- Mayo's continuous integration server
- Determine next steps/roadmap
| | |
| Noon - 1:00 PM | | Lunch | All | |
| 1:00 PM - 3:00 PM | 1W030 | Discussion: Value Set Editor (Authoring) - NCI to provide requirements/use cases
| | |
| | | Discussion: The Future of lbGUI - Discuss future requirements
- Review issues - JIRA and others
- Develop a roadmap to address technical debt
- Determine next steps/roadmap
| | |
| 3:00 PM - 4:00 PM | 1W030 | Debrief - Prioritize
- Determine next steps/roadmap
| | |
Topics
- LEXEVS API Performance and Usability Improvements
LEXEVS API performance and usability will be a major focus area for this effort. EVS and other users have hit a number of bugs and missing features that significantly affect the usability of the APIs, with special effort needed to improve value set, mapping, multi-namespace support as well as querying of relationship and inferred data.
Active LEXEVS support in all indicated areas is important to the quality and efficiency of ongoing EVS operations and services, and to the growing community of LEXEVS adopters for whom it provides a shared conceptual and technical terminology model supporting community standards and interoperability.
- LEXEVS Loader Improvements
The subcontractor shall address LEXEVS Loader Improvements. The LEXEVS Loaders are a set of Java programs and configuration files that transform and load terminology data from the various file formats and source terminology data structures into the unified LEXEVS server data model. They are crucial to data access and quality, and a top priority for the current effort. Key areas of effort are improving and extending loaders to better handle current and new sources and formats, and improved documentation and error handling.
- Enhancing the LEXEVS CTS2 REST Interface
The subcontractor shall address improvements to the CTS2 REST API and related resources. The previously existing REST API was created as a prototype to prove that such an interface will have value. It succeeded in that task. Unfortunately, that older API is tied very closely to the underlying structure of the data rather than being tied to the usage of the data. This effort will extend the new CTS2 API, tools and documentation to fill gaps in coverage of the CTS2 REST specification and focus on the user of the API, providing them with a clean, complete API that is easier to use than the current heavyweight solution.
The subcontractor will address the deployment, customization and maintenance of cloud-based LEXEVS services in order to address the challenges associated with the growth of biomedical research data, and the computational limitations currently experienced by biomedical researchers.