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Engineering Terminology and Schema for LIMS

  • Creator
  • #133910

    Preliminary agenda:

    This session will present updated work in four areas: 1) Laboratory Management Systems (LIMS); 2) Ontologies; 3) Common LIMS schema & Terminology Services and 4) Large Language Models (LLM). The session introduction will highlight potential connections across the four areas. Specifically, knowledge representations, such as ontologies and schemas, are used to classify and interpret identified datasets while algorithms, implemented into powerful tools, such as Large Language Models (LLM), are used to perform a variety of inferential tasks, analyses, and interpretations, through deep integrations of data and schema/ontological semantics.  In addition, when schemas, ontologies and LLMs, as well as other tools and services, such as The Terminology Service, are integrated into data infrastructures, such as Laboratory Management Systems (LIMS), organizations can manage and inter-connect scientific workflows in a scalable fashion.  Concluding with an update of the new Working Group on Materials Ontologies, the session will provide specialized presentations of particular efforts – ontologies, schemas, LLMs, LIMS and terminology services – as well as a unified picture of how processes interact.
    1  16:00-16:05 Mins: Ben Long, NIST, Session Introduction
    2  16:05-16:15 Mins: June Lau, NIST, Laboratory Information Management Systems (LIMS)
    3  16:15-16:25 Mins: Gerhard Goldbeck, Regional activities for Ontologies Update
    4  16:25-16:35 Mins: Josh Taillon, NIST Common LIMS schema 
    5  16:35-16:55 Mins: Felix Engel, TIB, Terminology Services
    6  16:55-17:05 KJ Schmidt, U of Chicago, Large Language Models for schema/ontological uses (virtual)
    7  17:05-17:20 Mins: Laura Bartolo to moderate questions about: LIMS & LIMS Schema; Materials Ontologies; Terminology Services & Large Language Models
    8  17:20-17:30 Mins: Gerhard Goldbeck to moderate questions about Materials Ontology WG

    1. First group option
    Research Data Management in Engineering IG

    Applicable Pathways
    Data Infrastructures and Environments – Regional or Disciplinary, Semantics, Ontology, Standardisation, Discipline Focused Data Issues

    Avoid conflict with the following group (1)
    Chemistry Research Data IG

    Brief introduction describing the activities and scope of the group
    The “Research Data Management in Engineering” Interest Group (IG RDMinEng) seeks to bring together scientific and industrial stakeholders from all relevant sectors. The IG RDMinEng will provide its scientific and industrial members with the opportunity to discuss and improve the legal and technological challenges to the adoption of FAIR data and software management in Engineering, to share knowledge, opinions and experiences, and form or participate in existing Working Groups to address these challenges.
    At P12 in Gaborone, Botswana, a first session has been organized to foster the discussion about data sharing and research data management challenges in engineering. With more than 40 persons the meeting room was crowded demonstrating a huge interest in this topic. Since P13 the IG is successfully organising a session each plenary. At P14 the idea of setting up focus groups on “Engineering-specific DMP”, “Metadata for Engineering”, “Data Annotation” and “Engineering and Open Science” was formed. The Joint Session at P15 with Small Unmanned Aircraft Systems Data IG let the IG moving forward on the topic metadata and annotation. IG was running an online seminar series on “Metadata for Engineering” and
    “Data Annotation” from July to October 2020 which should be continued in spring 2021. 
    The focus group on Engineering-specific DMP was integrated into the WG Discipline-specific Guidance for DMP.  The IG RDMinEng held a working session on Data Provenance and Research Software for Engineers and a Joint Meeting with the Metadata IG at P16.
    At VP17 the IG organised a session of Engineering RDM initiatives hosting several engineering domain research areas across the RDA community. A FAIR approach was presented for the Energy and Additive Manufacturing work areas and interest expressed on metrics and data quality in addition to planning of research data infrastructure for engineering sciences. VP18 further engaged these particular topics of interest in Research Data In Engineering through the session on Data Quality and FAIR metrics in Engineering.
    At P20 the IG held a Joint Session with the RDA/CODATA Materials Data, Infrastructure and interoperability IG with the focus on Automation of LIMS for Data Analysis and Reuse (   These efforts are continuing in P21 and will have touch points to the LIMS schema presented in this joint session.
    The Materials Data, Infrastructure, & Interoperability (MDII) was founded in 2013 and aims to foster exchange of computational & experimental materials data through shared online repositories, standardized formats/terminologies & open programming interfaces.  
    Session at Plenary 20 introduced participants to current status of semantic data documentation in materials and cognate disciplines, ranging from terminologies, metadata schema, vocabulary services to ontologies. In ten brief presentations, participants learned about the latest updates from pertinent projects and initiatives in Europe, US and Korea. This was followed by a discussion about the different approaches and the need to set up a Working Group related to the Materials Data IG aimed at harmonisation and guidelines geared towards the needs of the involved domains.

    Estimate of the required room capacity

    I declare that I have informed the chairs of all the Working / Interest groups included in this joint meeting application.

    Meeting objectives

    Continue discussions about Laboratory Information Management Systems (LIMS),

    Materials Ontologies begun at P20 and introduce LIMS Common Schema, Terminology Services and Large Language Models (LLM).

    Discussion with audience about starting a new Ontologies Working Group.

    Please indicate at least (3) three breakout slots that would suit your meeting.
    Breakout 1, Breakout 3, Breakout 4

    Privacy Policy

    Target Audience
    This meeting is open to all participants and encourages in particular practitioners, researchers and other experts as well as community representatives in engineering disciplines. Particularly, but not exclusively, the meeting welcomes members from the following backgrounds:

    Scientists involved in engineering science and related disciplines

    Industrial representatives from major and minor companies representing engineering science and the industry sector

    Practitioners of software engineering for the industry sector

    Policy-makers for non-disclosure agreements & legal experts

    HPC and distributed computing experts

    RDM support staff working closely with researchers in engineering science

    RDM support staff working on the topic

    FAIR data maturity model WG and other RDA IGs and WGs

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