Data Management, Standards & Analytics (Room Osaka), Tuesday 7 June 2022
09:05How do you build a digital ecosystem with multiple participants which enables interoperability, achieves scale, and drives innovation?
- Outlining the main drivers spearheading the digital transformation in R&D
- Building an architecture both internally and alongside partners to foster collaboration and deploy advances across the value chain: from discovery to commercial
- Designing a system which is impactful, intuitive, connected, and intelligent to then reveal new connections, drive better decisions, enabling and creating new approaches to discovery
09:30- Increasing collaboration of all stakeholders and disciplines: instead of silos we needto build bridges to interact
- Practically applying digitalization: we need to get to know the digital tools and possibilities available for scientists and we need to learn how to apply them for our lab of the future
- Manage the change professionally: change causes resistant as a natural reaction, so we need to pay attention and action for professional change management
- Do not try to define your lab of the future at the micro-level but establish a robust and flexible ecosystem, that can be adapted continuedly to your needs
The concept ‘lab of the future’ is not new, so why does this vision elude us?
- Increasing collaboration of all stakeholders and disciplines: instead of silos we needto build bridges to interact
- Practically applying digitalization: we need to get to know the digital tools and possibilities available for scientists and we need to learn how to apply them for our lab of the future
- Manage the change professionally: change causes resistant as a natural reaction, so we need to pay attention and action for professional change management
- Do not try to define your lab of the future at the micro-level but establish a robust and flexible ecosystem, that can be adapted continuedly to your needs
Data Management, Standards & Analytics (Room Osaka)
11:25Chairs opening remarks
Data Management, Standards & Analytics (Room Osaka)
11:30Best of breed needs standardization - with LADS to the integrated laboratory
Data Management, Standards & Analytics (Room Osaka)
12:00Beyond results - how scientific metadata will influence labs of the future
- What is scientific metadata and how does it impact laboratory operations?
- What insights can be drawn from scientific metadata to drive operational excellence in labs of the future?
- Examples of how analysis of scientific metadata has helped explain questionable data and saved time and money in the process.
Data Management, Standards & Analytics (Room Osaka)
12:15AnIML standards update
Data Management, Standards & Analytics (Room Osaka)
12:30Unilever Case Study Using SiLA & AnIML
- Why Unilever Is Using Standards
- High Throughput Rheometer Integration Case Study
- Our Experience So Far
Data Management, Standards & Analytics (Room Osaka)
13:55Chairs opening remarks
Data Management, Standards & Analytics (Room Osaka)
14:00Strategies for implementing an Analytical Data FAIR system in Pharma Research
Data Management, Standards & Analytics (Room Osaka)
14:30Manual Sample Tracking using existing Lab 4.0 Technologies
- Manual processes are weak links in the chain of data integrity that laboratories are working to build
- Essential resources like manual stores and lab benches have poor sample traceability
- Automatic sample tracking improves data integrity, traceability, efficiency and regulatory compliance
- Today's Lab 4.0 technologies provide easy and affordable tracking for manual locations
Data Management, Standards & Analytics (Room Osaka)
15:00EU-OPENSCREEN as a collaborative platform for access to chemical biology resources and data
Data Management, Standards & Analytics (Room Osaka)
15:30Embedding cybersecurity at the core of your business to minimise threats
Data Management, Standards & Analytics (Room Osaka)
16:30FAIR is crucial to your organisations data strategy, but is it enough?
Data Management, Standards & Analytics (Room Osaka)
17:00Digital Chemistry at Syngenta From academic labs to industrial applications
- Digital transformation in crop protection chemical research: data as driver
- A digital platform to consistently capture and model all data related to chemical synthesis
- Bringing recent developments into daily operations: synthesizability is key
17:30Building the Lab of the Future during a pandemic
- Challenges and opportunities presented throughout the pandemic
- Fostering a culture of collaborations across competitors towards a common goal
- Did we apply the principles of the lab of the future when creating the mega-lab?
18:45uptown Basel - drinks reception
last published: 20/May/22 13:25
