WHAT IS NONA TALKS?
A one-day event to bring together industry and academic parties in the open-source app synthetic biology community. “Nona Talks” is focused on community building, idea generation, and education.
Registration is through EventBright and an entry ticket
Want to help fund this? Donate to the Annual Nona Research Foundation Giving Campaign
DISCUSSION TOPIC
What LIMS open-source software tools are being developed/used now in academia and industry?
DATE: November 18th 2022 10 a.m – 1 p.m. EST
Background
The Nona Research Foundation (Nona; http://www.nonasoftware.org) was created to broaden participation, increase access, and advance innovation in the design, distribution, documentation, maintenance, and use of open-source software and tools in the fields of synthetic biology and bio-design automation. Research using Nona’s software and other tools will lead to advances and improvement in health and healthcare, energy production and storage, materials manufacture, protection of the environment, and human welfare. Nona’s goal is to provide community- based resources to make the open- source software environment in synthetic biology a global success. Toward that goal, Nona will host two annual workshops. This proposal is for the annual summer workshop named “Nona Talks” (to contrast the winter workshop entitled “Nona Works”).
Objectives of thies Nona Works:
- Identify challenges to applying existing computational LIMS tools to LIMS engineering and LIMS design projects.
- Prioritize potential approaches to improving or developing new LIMS tools.
- Build the community and establish lines of communication for collaborative tool development.
PRELIMINARY AGENDA
10:00–10:20am Introductions, meeting goals, and context
Moderator: George Johnson
10:20–11:20am Applying existing tools to LIMS development
Discussants, 5–7 min each
What are the critical challenges? Examples:
- Patient Information integrated with platform and compliance
- Rigid models that prevent migration to other LIMS applications
- Logarithmic challenges of processing more samples as needs grow
Which challenges are most fundamental across the community?
How can existing tools be improved?
What types of new tools could be developed or incorporated?
11:20–12:00pm Managing data and information for lab usage
Discussants, 5–7 min each
What are key challenges for managing data and databases? Examples:
- Database needs: content/quality/maintenance
- How to standardize and incorporate metadata into accessioning, processing, quality control, and reporting?
- Integrating with LIMS as external systems
Are there tractable solutions to these challenges?
Are there lessons to be learned from other (e.g. non-bio) domains?
12:00–12:10pm Break
12:10–12:40pm Prioritizing challenges and approaches
Review: summary of identified challenges and approaches
Which of these challenges and solutions are most tractable?
Where can a focused effort make the most progress?
What types of projects is this community best equipped to address?
12:40–1pm Funding opportunities, collaborations, and next steps
Where do we go from here?