Author:  Craig Stancl, Scott Bauer, Cory Endle
Email: craig.stancl2@nih.gov scott.bauer@nih.govcory.endle@nih.gov
Team:  LexEVS
Contract:  16X237
Client:  NCI CBIIT
National Institutes of Heath
US Department of Health and Human Services

The purpose of this document is to capture proposed agenda topics for the 2018 technical face to face meeting with NCI EVS Teams.

Time

Wednesday, October 10, 2018

TimeLocationAttendeesResources
9:00 AM - 11:00 AMRoom TE420Lyuba, Sherri, Rob, Tracy, Kim, Jason, Scott, Cory, Craig, Stephanie LipowTechtalk.pptx

Goals

Goals
  • Findings and Proposals
    • API Services
    • LexEVS Model Changes - OWL2

Topics

TopicDiscussion
Discussion

Discussion Points: 


EVS API Services

  • Determine a level of governance and architecture for EVS related services.
  • Work with the caDSR team to transition from remote API to REST Services. (TBD?)
  • Propose ability to capture usage statistics for analytics of what types of queries are being run, content searched, etc.
  • Determine a REST service for Metathesaurus and determine best how to support the end users.
  • Continued transition of stand alone coding systems to EVS REST API.
  • Transition of LexEVS search knowledge to the EVS API development team
    • utilize the services spreadsheet
  • Provide LexEVS resources to help with EVS API.
  • Investigate infrastructure considerations (cloud environments?).
  • Single Service coverage (provide single search mechanism)
    • REST Service for Meta
    • EVS REST API
    • LexEVS API

Discussion:

  • Users will change and will need to be accommodated.
  • Additional terminology requirements will also need to be accommodated.
  • There are no immediate needs that need to be satisfied.
  • Mapping (anticipated needs/requirements)
    • Mappings between models - data elements (OMOP, PCORI, etc) will also need to map to terminologies. (cancer data aggregator)
    • Mapping from LexEVS sources to external sources. (capture as a JIRA item)
    • "rule-based" mapping (capture as JIRA item)
      • Model to represent the map
      • API services for the mapping
      • Method of mapping and capturing learning algorithms(?)
  • Priorities
    • Continued MetaT support
    • Continued stand-alone terminology support
    • Mapping Support - mapping to external sources
    • Evaluation and propose best approach (EVS REST API and LexEVS team collaboration)
      • Identify the queries for MetaT
      • Improve and extend current functionalities
      • Pain points
      • Determine best case suggestions
      • Consider mapping use cases


Model Changes (OWL)

  • Complex Classes need to be addressed somehow - LexEVS or not.
  • Micro services should be considered for providing services to provide OWL content (micro service using the triple store)

Discussion:

  • Not an immediate requirement
  • Implementation would be fairly significant.

Admin UI

  • Continue to use the GUI as it is
  • Consider to look at the dashboard viewer (query)

Discussion:

  • not an immediate requirement.


https://wiki.nci.nih.gov/display/LexEVS/2018.10+Proposed+F2F+Agenda+Topics