[Laura Bartolo]

 
Collaborative session notes: https://docs.google.com/document/d/1MSXBLxB7caq6vYugxnyiUzDC3zKStuwAUIDH…
 

0 – 60 minutes: Intros, Presentations (Matl IG, RDMEng IG) + 5 min Q&A after each IG’s presentation)

60 – 75 minutes: Connect-athon as possible Next Steps

75 – 90 minutes: Community Discussion & Next Steps

Moderators: Laura Bartolo, Mat’ls Data IG & Northwestern University, Gretchen Greene, RDM Engineering IG & NIST
 “LIMS data aggregation, communications and exchange for data analysis with demo”

Mat’l Data IG Presenters + Demo: Lau; Birkholz; Elbert (30 min + Q&A)

RDM Engineering IG Presenters: Logan, Hausen (20 min + Q&A)

Possible Next Steps: Plug in Connect-athon  

 Presenter: Long (10 min + Q&A)

Discussion among panelists & audience and Next Steps Moderators Bartolo (Mat’l Data IG) & Greene (RDM Eng IG) (15 minutes)

 

1. First group option
RDA/CODATA Materials Data, Infrastructure & Interoperability IG

Additional links to informative material
Materials Data IG:  https://rd-alliance.org/groups/rdacodata-materials-data-infrastructure-interoperability-ig.html
Research Data Management in Engineering:  https://rd-alliance.org/groups/research-data-management-engineering-ig 
 

Avoid conflict with the following group (1)
Research data needs of the Photon and Neutron Science community IG

Brief introduction describing the activities and scope of the group
The Materials Data, Infrastructure, & Interoperability (MDII) Interest Group was founded in 2013 and aims to foster exchange of computational & experimental materials data through shared online repositories, standardized formats/terminologies & open programming interfaces.  
Data Management in Engineering IG was also founded in 2013 and has focused on engineering discipline Data Management Plans,  metadata and most recently ELN/LIMS systems during plenary and an IG hosted e-seminar series.
 

Estimate of the required room capacity
25-30

Group chair serving as contact person
Laura Bartolo

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

Meeting objectives
Hold panel discussion, demonstration and proposed next steps to stimulate audience participation 
 Present preliminary example of LIMS data aggregation, communications and exchange for data analysis & reuse
       o   Basic data model concepts (Intra LIMS)
       o   Data queries between LIMS (Inter LIMS)
       o   Interoperability of LIMS
 Propose plug in connectathon as possible next step to enable groups to work at their own pace and connect with others.  
 
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)
 

 

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Target Audience
Researchers in materials science, engineering, cognate domains and data science

Discussion