LIMS, LLMs, Schemas, Ontologies & Terminology Services: Current Materials & Engineering Sciences Efforts
: 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.
This session will focus on Laboratory Information Management Systems (LIMS). "Laboratory Information Management Systems (LIMS) provide a framework for managing data from the outset of the research life cycle delivering new capabilities for machine learning, data analysis, collaboration, and dissemination."1 After the LIMS presentations, there will be a presentation about possibly holding connect-a-thon events at future meetings. The purpose of connect-a-thon events is to bring together multi-disciplinary teams to verify, explore, discover, or prototype important scenarios that particular LIMS systems must be able to handle; one scenario, transaction, or process at a time. In this way, groups can begin to work together even for part of an afternoon (say, 2-3 hours), to focus upon particular events, functions, or common tasks involving key processes recurring in LIMS systems – such as those involving samples, simulations, experiments, and data sharing. Teams can use connect-a-thons anywhere in the process for development of high-value LIMS use-cases. For efforts or systems in more advanced developmental stages, participants can formalize and prepare data, schemas, models, interactions, and/or scenarios in advance and can use the time to perform an actual test of expected functionality and integration. For those in earlier stages, the time can be leveraged opportunistically to actively prototype, explore approaches, and to explore actual steps needed to handle proposed scenarios. Over time, such events can facilitate community exploration and discussion leading toward increased interoperability and coordination over time.
1. Greene, G. , Ragland, J. , Trautt, Z. , Lau, J. , Plante, R. , Taillon, J. , Creuziger, A. , Becker, C. , Bennett, J. , Blonder, N. , Borsuk, L. , Campbell, C. , Friss, A. , Hale, L. , Halter, M. , Hanisch, R. , Hardin, G. , Levine, L. , Maragh, S. , Miller, S. , Muzny, C. , Newrock, M. , Perkins, J. , Plant, A. , Ravel, B. , Ross, D. , Scott, J. , Szakal, C. , Tona, A. and Vallone, P. (2022), A Roadmap for LIMS at NIST Material Measurement Laboratory, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.TN.2216, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934610 (Accessed December 12, 2022)
Collaborative session notes: https://docs.google.com/document/d/1Dbm1_xjXfyFGoCYp_OgNn
- IG & WG news update (10 min :00-:10)