Why will be used to convert data from its

Why Persistent?

To realize the
benefits of the Allotrope framework, organizations will need to:

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·        
Understand

o    what the ADF, AFO,
ADM are and how they are intended to be used?

o   
Current
state/format of the data, including:

§  
Instruments

§  
Methods

§  
Analyses

§  
Software

·        
Analyze

o    Fitment of the
Allotrope Framework into their project

·        
Plan

o   
Work
with subject matter experts to define the desired shape of data (data
description, data format, raw data)

o   
Work
with Allotrope to understand how the Allotrope ontologies map to datasets

o    Craft a staged
project plan to move from their current state to the desired state

o   
Plan
for downstream uses of the data, including:

§  
Regulatory
compliance

§  
Data
archiving

o   
Define
the processes and tools that will be used to convert data from its present
state into Allotrope-compliant files

·        
Execute

o   
Train
and support in-house resources

o    Maintain and evolve
the system as needs change

·        
Evolve

o    With ever demanding
needs of industry and compliances

 

As a member of the
Allotrope Partner Network, Persistent Systems
is uniquely positioned to assist your organization in
developing and implementing an effective Allotrope
Framework architecture and strategy. Digital Transformation and
informatics are the central focus of our organization. Leveraging our scientific domain knowledge,
technology expertise, industry experience and extensive partner network, our professionals can help you across the product lifecycle
services.

 

Conclusion

Though the success
of the framework largely depends on the number of adopters of the framework
across the industry; the implementation of the Allotrope framework or the likes
of data standardization frameworks, IT Systems in the laboratory will become
more service oriented and plug and play allowing workflows to be software independent
and vendor specific format agnostic, enabled by information, data and software
standards. The use of data standards increases the interoperability of software
tools, thus crafting the reality for a digital, intelligent and connected
analytical laboratory. Apart from this,
there will be better data synchronization, downstream process support will
improve to enable rinse and repeat for follow-on
processes. The Foundation aims to create an automated laboratory environment
that drives better data analytics, one-click reports, scientific discovery and
innovation, regulatory compliance, ultimately providing better medicines to
patients faster.

 

The data management
challenges that the Allotrope Framework is designed to address are certainly
not exceptional to the Life Science Industry. Today, companies are exploring
their digital potential and at the same time discovering facts they were
unaware of earlier. Budget constraints, sustainability objectives, faster
developments of products and services are important objectives for
organizations. This is driving organizations to think about standardization and
interoperability of technologies in the push to optimize innovation and
maintain a competitive edge.